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* feat(skills): add ce-plan — GitNexus+PDG implementation-planning skill Adds .claude/skills/ce-plan: a planning-only skill that builds implementation-ready plans from GitNexus graph navigation (query/context/ impact/trace), bounded statement-level PDG slices (pdg_query, impact mode:pdg, explain), and targeted source verification, with a context ledger to prevent repeated reads and a machine-readable implementation context pack (stable contract for a future ce-implement). Whitelisted in .gitignore and registered in AGENTS.md and CLAUDE.md outside the auto-managed gitnexus block. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(skills): apply ce-plan validation findings (tool contract, consistency, conventions) Tool contract: impact mode:'pdg' shape now includes the schema-required direction param; CDG branch sense documented as the result 'label' field (reason is cypher/raw-edge only); explain caveats corrected to its real false-negative classes (cross-function TAINT_PATH is modeled). Consistency: PDG slice homed in working memory (ledger keeps one-liners); depth knob defined and category-overrides-baseline ordering stated; call_depth (consumed by nothing) and content-hash bookkeeping dropped; Never section folded into Hard rules; Phase 3 deduplicated to a pointer; allowed-repeat escalations defined; budget/discard accounting clarified; verification-commands gathering added to Phase 4; open_questions added to the context pack. From scenario runs: plans now pin the verified-at HEAD commit and index freshness in a header, tag claims [verified]/[graph]/[inferred]/[assumed], quote load-bearing tool output, prefer pre-hook-carrying npm scripts, and support an out:<path> destination override; output path defined as the Phase 1 target repo root. Conventions: AGENTS.md 1.9.0 / CLAUDE.md 1.4.0 changelog rows + metadata bumps; future ce-implement qualified as future. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): rename ce-plan → gitnexus-plan; add cross-CLI (Codex) entrypoints Renames the skill dir, frontmatter, output filename convention, plan H1 (GitNexus Engineering Plan), the future executor handle (gitnexus-implement), the .gitignore whitelist entry, and all AGENTS.md/CLAUDE.md references. Follows the pr-swarm-review cross-CLI pattern: SKILL.md is the canonical CLI-neutral spec, AGENTS.md § Engineering planning is the Codex/any-agent entrypoint, and the README documents the optional user-level ~/.codex/prompts/gitnexus-plan.md slash command plus an invocation matrix. Skill prose de-branded from Claude Code (agent-neutral verification layer). Also fixes two post-review README contradictions: the anti-reread claim now names the ledger's allowed escalations, and 'read-only by contract' is now 'planning-only' (the skill writes exactly one repo file — the plan); the scope-creep rule and template §12 now agree on where deferred follow-ups land. Drops the stale plugin-collision limitation. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(skills): document Codex user-level install path for gitnexus-plan Codex discovers SKILL.md skills from ~/.agents/skills (same path the other gitnexus-* skills install to); README now documents the cp install plus the optional ~/.codex/prompts slash-command file, with the prompt body preferring the repo copy and falling back to the user-level install. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): gitnexus-plan freshness gate + active PDG-layer refresh Freshness is now a Phase 1 gate, not advisory: under the default freshness:strict, a stale index is refreshed once per planning session via node .gitnexus/run.cjs analyze --index-only (appending --pdg when the task will reach the PDG phase), then the context resource is re-read. A missing PDG layer likewise triggers the one permitted --index-only --pdg refresh and re-probe instead of a passive recommendation. freshness:accept (or a failed/impractical refresh) preserves the old behavior: plan on the stale graph, source-weighted, labelled in the plan header. --index-only is the load-bearing flag choice — it suppresses all file generation, so the planning-only contract holds (only the .gitnexus store changes). Ledger gains an index_refresh record; plan header states fresh / refreshed / refresh-skipped-with-reason. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): gitnexus-plan runner build check before freshness refresh When the target repo builds the analyzer from its own source (bin → dist/ mapping, as gitnexus/ does), the Phase 1 freshness gate now verifies dist/ is current before running the analyze refresh — rebuilding via the package's build script when any analyzer source file is newer than the built entrypoint — and prefers that freshly built CLI. Otherwise a stale dist re-indexes with outdated extraction logic and the 'fresh' index lies. Rebuilds are recorded in the ledger's index_refresh; the PDG-phase refresh inherits the same check. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): add gitnexus-work executor and gitnexus-lfg pipeline gitnexus-work executes a gitnexus-plan as verified atomic commits: consumes the §11 implementation_context pack, drift-checks the plan's evidence pin against HEAD, re-verifies assumptions before relying on them, runs impact before every symbol edit and detect_changes before every commit (repo mandates), builds tests from the plan's scenarios, and routes structural drift back to gitnexus-plan Deepen mode instead of coding around it. gitnexus-lfg is a thin orchestrator: gitnexus-plan → blocking user gate (deepen / proceed / stop, deepen loops allowed) → gitnexus-work → review via the existing gitnexus-pr-review skill (open PR, else branch diff vs default). One bounded fix cycle for review findings; never pushes or opens a PR on its own. gitnexus-plan gains a Deepen mode (re-run freshness gate, escalate to depth:deep, re-verify graph/inferred/assumed claims toward verified, rewrite the same file); its 'future gitnexus-implement' placeholder is retired in favor of gitnexus-work. Registered via .gitignore whitelists, AGENTS.md 1.10.0 (section renamed to Engineering planning & execution), CLAUDE.md 1.5.0. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(skills): apply cross-skill review findings to the gitnexus skill family Two P1s: gitnexus-plan Deepen mode now re-anchors before re-pinning (diffs the old evidence pin over every [verified]-claim file and re-reads or downgrades before the header moves — moving the pin without this laundered stale claims as verified); the index-refresh budget is stated once in Phase 1 (one --index-only refresh plus at most one Phase 3 --pdg upgrade per session, Deepen = its own session) with ledger and pdg-slice deferring to it. Contract fixes: gitnexus-work's drift check now covers every file the pack cites (not just files_to_modify) and parses the full pack incl. primary/related symbols and acceptance_criteria (walked in Phase 4 alongside §13); a pre-completed check skips §7 steps already landed and Deepen gains a reconcile-execution-state step, closing the mid-execution route-back loop; pack assumptions must name what to check and how. lfg: Lane 4 passes the merge-base to detect_changes compare (two-dot diff misattributes upstream commits when default advanced), branch-diff is the stated normal case, oversized review findings route to the plan gate instead of overflowing direct mode, the one-fix-cycle cap is explicit on re-run, and headless runs end at the plan gate with the plan as deliverable. work: blank mode narrowed to *gitnexus-plan*.md with a re-execution guard, direct-mode discipline spelled out, branch meaningfulness defined against the plan slug, and the plan document is committed as the branch's docs commit (review diff includes it). Planning-only contract now names the dist/ rebuild as the second permitted state change; Phase 5.1 names the four claim tags; stale AGENTS.md anchors fixed. Known latent issue left untouched: gitnexus/gitnexus-pr-review pairs a three-dot example with a two-dot detect_changes compare — that skill is also shipped by the plugin, so fixing it here would drift the copies; lfg compensates by passing the merge-base. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): ship the engineering skill family with the gitnexus package npm i -g gitnexus users now get gitnexus-plan / gitnexus-work / gitnexus-lfg: the three skills are added to gitnexus/skills/ in directory form (SKILL.md + references/), which installSkillsTo already enumerates dynamically and copies recursively to every editor target (~/.agents/skills for Codex, Cursor, OpenCode, Qoder, ...) on gitnexus setup — uninstall enumerates the same root, so removal stays clean. The Claude Code plugin channel (gitnexus-claude-plugin/skills/) carries the same copies plus the standard per-skill mcp.json. Global-install support in the skill text: gitnexus-plan Phase 1 now resolves the analyzer runner explicitly — node .gitnexus/run.cjs analyze when the project has a runner, else gitnexus analyze (installed CLI), else npx gitnexus analyze — and all analyze mentions route through it, satisfying the skills-steering policy (#1939/#1945) which sweeps the plugin copies. New drift guard test/unit/shipped-skills-sync.test.ts asserts the npm and plugin copies stay byte-identical to the canonical .claude/skills/ family (plugin = canonical + mcp.json), same discipline as run.cjs ↔ resolve-invocation.ts. skills-steering + shipped-skills-sync: 11/11 green. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(eval): workflow_bench — measure the skill workflow's token savings Benchmarks gitnexus-plan → gitnexus-work against a baseline agent (--disallowedTools Skill) on identical tasks, in fresh detached worktrees, using real headless Claude Code sessions; every number comes from the CLI's --output-format json usage report (field names validated against a live 2.1.207 session). Reports per-arm medians (input/cache/output tokens, cost, wall time, turns), a savings row, and resolve status from a per-task verify command — savings on failed tasks are flagged, not celebrated. Per-task setup hook prepares fresh worktrees (deps); --permission-mode bypassPermissions (default) lets sessions run unattended in the throwaway trees. Free-model support: --base-url/--auth-token/--model route headless sessions through any Anthropic-compatible endpoint; free-model.litellm.yaml is a ready litellm-proxy template for OpenRouter :free variants or local Ollama, so benchmarking burns no paid tokens (README documents rate limits and the small-model skill-following caveat). Harness validated end-to-end with a stub CLI (worktree lifecycle, both arms, plan→work chaining, verify, aggregation, report) and 4 pytest units for the pure aggregation/savings/report helpers. AGENTS.md 1.11.0. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(eval): record first workflow_bench calibration run Trivial-task calibration (add -V alias): both arms resolved; workflow arm ~4.3x baseline cost — the documented overhead-dominated regime, recorded so the regime boundary is empirical rather than asserted. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(eval): workflow_bench scenario matrix — arm variants, task classes, churn Ground-base measurement across scenarios: tasks.scenarios.yaml spans four labeled classes (trivial → investigation-bug → investigation-feature → cross-module) with deterministic verifies (prescribed test files). New arms: workflow_direct (gitnexus-work direct mode — the middle option that locates the routing boundary lfg's gate and work's triage encode) and baseline_nomcp (no skills AND no graph tools — separates workflow-discipline value from GitNexus-tool value; off by default). Records now carry task class and diff churn (files/+ins/−del vs the starting commit) as an over-engineering proxy; the report renders a class column and per-arm savings rows vs baseline. 5 pytest units + stub-CLI e2e of the full three-arm matrix. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(eval): record workflow_bench ground base; fix churn measurement bias Ground base (3 classes x 3 arms, n=1/cell): every arm resolved every task — pass/fail quality saturates at this difficulty, making the comparison pure cost. Full plan→work never amortized its ~$9-11 fixed cost on tasks a baseline finishes in ≤35 turns (−211% to −333% cost); workflow_direct sits near baseline (−15% to −55%, once faster wall) with more test coverage. Routing implication recorded: direct mode/plain agent below this scale, full workflow for cross-module / multi-session / plan-as-deliverable work. The cross-module cell and multi-run variance are the next measurements. Churn fix: git add --intent-to-add -A before diffing (arms that never commit no longer undercount new files) and :(exclude)docs/plans (the committed plan doc no longer inflates workflow churn); this run's churn numbers predate the fix and are omitted from the recorded table. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * perf(skills): cost-optimize the workflow from measured ground base Every optimization targets a measured fixed-cost component (eval/workflow_bench ground base: workflow arm −211% to −333% vs baseline, all tasks resolved): - Plan form is category-priced: compact form (core sections w/ § anchors preserved, ≤80 lines excl. pack, mini-pack subset of the context pack) for narrow/default categories; the full 13 sections only for deep work (refactor/security/performance/concurrency/architecture). A compact plan outgrowing its cap reclassifies to full rather than overflowing. - Freshness gate is category-priced: compact categories default to accept (source-weighted, refresh only when a graph claim becomes load-bearing); strict stays the default for full-plan categories — the rebuild+re-index was the largest single fixed cost. - Turn economy: per-category tool-call budgets (~10 to ~45; architecture uncapped); budget exhaustion routes open questions to §12 instead of more digging. - gitnexus-work fast path: HEAD == evidence pin → skip all citation re-reading (the pin's entire point); mini-pack fields tolerated. - lfg Lane 1 boundary triage: tasks below the measured ~35-turn boundary get offered gitnexus-work direct mode before the plan lane is spent. Copies re-synced (npm skills/, plugin, ~/.agents); steering + sync guards green. Re-measurement of the workflow arm follows to verify the numbers actually improve. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(eval): record optimization re-measurement — inv-bug workflow cell −20% cost Same task, same conditions, post-830a0459 skills: $14.56→$11.70 (−20%), 83→72 turns, cache_read −24%; verified in-transcript that the compact form, turn budget, and skipped rebuild/re-index all fired. Wall +15% from a work- session test-debugging tail (n=1 variance). Regime unchanged (~3.5x baseline on this class) — routing rule stands. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(eval): per-arm clone isolation — worktree ref-namespace leak contaminated an arm The cross-module workflow_direct cell reported an impossible 28-turn solve with churn byte-identical to the workflow arm: git worktree add shares the repo's ref namespace, so the workflow arm's slug branch (created by gitnexus-work Phase 2) survived worktree removal and the direct arm found and adopted the completed work. Arms now get isolated git clone --shared copies (object store via alternates, refs clone-local — agent branches and stashes die with the clone; origin/<ref> fallback for non-default refs). Leaked branch deleted; baseline arm verified clean (0 branch references in its transcript); cell marked invalidated pending re-run. Records the valid cross-module cells: workflow $18.32 vs baseline $18.03 (premium −1.6%, vs −211%..−333% on smaller classes) — fixed costs amortize at this scale, with a less destructive diff and a plan artifact as bonus; resolve rate still tied. Churn fingerprinting is what caught the contamination — noted in the README as an integrity check. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(eval): complete cross-module cell — direct mode wins 47% cost / 56% wall Clean clone-isolated re-run: workflow_direct resolved the hardest class at $9.53/52 turns/15m vs $18.03/98/34m baseline and $18.32/107/37m full workflow. The measured story across all four classes: the execution discipline (gitnexus-work) is the consistent sweet spot and delivers real token savings on hard tasks; the planning pass buys its artifact, not same-session savings. Resolve rate tied everywhere (n=1/cell caveat). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(eval): add trajectory-gated skill evolution (#2431) - Pair prompt candidates with incumbent workflow arms - Gate promotions on pinned-model quality and efficiency - Expire router evidence and document its lifecycle * fix(eval): allow pr-review skill candidates * feat(skills): rename and generalize GitNexus review * feat(eval): external-comparator and review arms for workflow_bench - ce_workflow / ce_workflow_direct: compound-engineering ce-plan/ce-work arms prompted with the same structure as the gitnexus arms - review / ce_review: gitnexus-review vs ce-code-review on an identical diff applied by the task's setup - plan handoff is snapshot-based: committed example plans in docs/plans/ tie on clone mtimes and broke the name-glob pick (executed a stale plan) - verify output tail is recorded per run and the final working-tree patch is kept, so failed rows are diagnosable after the clone is destroyed Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(skills,eval): address #2431 review — data-safe rename migration, fail-closed bench evidence - setup: never delete a legacy renamed skill dir — the installer cannot prove ownership (users customize or hand-write skills under these names); warn with the path instead, and the test now asserts survival - workflow_bench: fail closed when a session's --output-format json report is empty, malformed, or missing usage fields — an exit-0 shell with no parseable usage no longer counts as measured evidence (5 parametrized regression tests) - workflow_bench: document the trust model prominently (task setup/verify are shell-executed, sessions run bypassPermissions with the parent env, candidate overlays are prompt injection surface) in README + docstring - free-model.litellm.yaml: master_key from LITELLM_MASTER_KEY env instead of a static token; loopback-binding warning - ci: run the eval workflow_bench pytest suite on ubuntu (pytest+pyyaml only — no full eval stack) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(eval): demand observed foreground verification in headless work-arm prompts In a headless -p session there is no later turn: a work arm backgrounded its slow test run, scheduled wakeups that can never fire, and reported done while two of its tests failed. All four work-arm prompts (both skill families, symmetric) now require verification output to be observed inside the session. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): ask plan depth up front instead of offering deepen afterwards gitnexus-plan Phase 0 now asks one blocking question in interactive sessions — quick / standard / deep, mapped onto the existing depth/form/ freshness knobs — when the invocation carries no explicit depth signal. Explicit knobs and headless runs skip the question (category posture unchanged, so benchmarks and automation behave as before). gitnexus-lfg's plan gate slims to proceed/stop: depth was already the user's up-front choice, so deepening is no longer offered by default — an explicit deepen request at the gate and executor route-backs still run Deepen mode, which remains the mechanism for strengthening an existing plan document. All shipped copies resynced (npm skills/, Claude plugin); AGENTS.md 1.13.0 and CLAUDE.md 1.7.0 pointers updated, including the analyzer's regenerated index-stats block at this branch's head. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): taint pass, expert lenses, and post-work index refresh gitnexus-review gains a PDG-backed taint-and-dependence pass (explain + pdg_query, --pdg folded into the stale refresh on trust-boundary diffs) and an Expert lenses section: domain reviewers derived from the graph's clusters plus four cross-cutting lenses (architectural fit, language conformance per the repo's own contract, Definition of Done, simplicity), dispatched once after the evidence-gathering steps and scaled to the diff. gitnexus-work Phase 4 now refreshes the knowledge graph after the DoD walk via the resolved-runner ladder with analyze --index-only, so the lfg review lane and later sessions query the finished work without dirtying the tree. lfg's threshold-governance paragraph moves to its README; eval citations are tagged as measured in the GitNexus repo. All shipped copies re-synced. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(cli): remove legacy gitnexus-pr-review on uninstall; cover the rename migration uninstall's removal set now includes LEGACY_SKILL_DIR_NAMES derived from RENAMED_SKILL_DIRS, so a pre-rename install is cleaned up instead of orphaned. The rename warning gains behavioral coverage (fires with a legacy dir present, silent without), and shipped-skills-sync asserts legacy names stay absent from every shipped tree. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(eval): metric provenance, error-kind rows, skill-invocation verification, gate noise floor The promotion gate defaults to cost_usd (the only metric that includes subagent spend); token metrics carry an explicit main-loop-only warning in the report and promotion.json. Rows are classified by error_kind (session-error / verify-failed / infra-error), excluded from efficiency medians, and the gate requires equal valid-run counts. Each session's transcript is scanned for the expected Skill invocation and fails closed on a verified miss; a one-run resolution edge no longer promotes (noise floor). Per-run timeouts and setup failures record an infra-error row instead of aborting the sweep. Overlays touching skills no candidate arm exercises are rejected up front. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs: fix skill routing paths, version headers, and skill rosters Routing tables point at the tracked direct skill paths (matching the post-#2434 generator output), AGENTS.md/CLAUDE.md headers match their latest changelog rows, the 1.12.0 row describes what the migration actually does, package/cursor READMEs list the full shipped skill roster, and the swarm READMEs describe /gitnexus-review's expert lenses instead of calling it single-agent. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * ci: drift-guard workflow for skill copies; pin eval pip deps; track docs/plans ci.yml ignores '**.md', so an md-only skill edit would merge without the shipped-skills-sync test running — skill-sync.yml triggers exactly on the guarded trees. The eval job's pip install is version-pinned, and docs/plans/ is unignored so gitnexus-plan output can be committed. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(ci): keep the runner-invocation literal in gitnexus-review; add concurrency block to skill-sync skills-steering requires skills with a stale-index hint to carry the exact 'node .gitnexus/run.cjs analyze' form — restore it with the fallback ladder as a parenthetical instead of replacing it. skill-sync.yml gains the top-level concurrency block the workflow-convention check enforces. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(skills): token-economy guidance for expert lenses Merge lenses that ground in the same material into one reviewer, and use cheaper model/effort tiers for mechanical lenses where the harness offers them, reserving the strongest engine for adversarial judgment. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * test(eval): isolate transcript home on Windows Ensure workflow_bench transcript tests set USERPROFILE alongside HOME so Path.home() resolves to the temporary test home on Windows. * docs(skills): fold PR #2522 execution learnings into review/work/plan Eight incident-backed hardenings from running the full skill cycle (review -> plan -> work, 28-finding fix series) on PR #2522: gitnexus-review: - Expert lenses execute the code under review on candidate failing shapes (empirical probe outranks source reading — every HIGH the language lenses found came from a probe, not a read). - Step 7 re-runs the exact CI check for refreshed baselines/fingerprints (a stale committed artifact is invisible in the diff; caught a red benchmarks arm). - Step 8 treats version/invalidation constants as review surface (INCREMENTAL_SCHEMA_VERSION class recurred verbatim from #2494). gitnexus-work: - Step 4 proves regression tests discriminate against the pre-fix tree. - Step 5 rebuilds executed build output before every verification run (parse workers load dist/; a correct fix 'failed' until rebuilt). - Step 6 makes stage -> detect_changes -> commit one unbroken sequence. gitnexus-plan: - Phase 0 seeded-evidence mode: plan FROM a completed review's verified findings instead of re-running the graph ladder. - Template §7: fingerprint/golden-guarded output rebaselines once, at the series tip. All distribution copies resynced; shipped-skills-sync + skills-steering 24/24 locally. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(eval): close the skill-evolution loop with an automated proposer driver workflow_bench.evolve adds the three arrows the README described as manual: a proposer session that turns loser trajectories (results.jsonl rows, transcripts, patches, the learning queue) into ONE bounded candidate overlay, a driver that iterates propose -> paired benchmark -> deterministic gate up to --generations, and an --apply step that copies a promoted overlay onto the canonical skills and shipped mirrors as a working-tree diff. The trust boundary is unchanged: overlays re-validate through candidate_overlay_files before any benchmark or apply consumes them, and committing, CI, and the PR merge stay human. learnings.jsonl is gitignored: it is machine-local evidence, like the session transcripts it complements. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(skills): route live-task friction into the evolution learning queue Each family skill gains a short 'Skill feedback' section: on friction with the skill's own instructions, append one JSON line to eval/workflow_bench/learnings.jsonl (GitNexus repo only) — never self-edit the skill from a live task. The proposer in workflow_bench.evolve consumes the queue as hints; a learning reaches a shipped skill only by beating the incumbent on the paired benchmark. All shipped mirrors re-copied byte- identical. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * ci(tests): run the evolve helper tests in the eval pytest job test_evolve.py needs only pytest+pyyaml, same as the harness tests the job already runs — without this line the new module had no CI coverage. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(ci): comment-triggered GitNexus review agent for PRs '@gitnexus review' from a maintainer (OWNER/MEMBER/COLLABORATOR; the action re-validates write access) runs the repo's gitnexus-review skill headlessly against the PR and posts the review as a sticky comment — remote triggering with no local setup. Read-only by construction: contents: read token, Write/Edit and web tools disallowed, Bash allowlisted to git reads and the gitnexus CLI; analyze parses PR code with tree-sitter, never executes it. Requires the ANTHROPIC_API_KEY repository secret; activates once the file is on the default branch. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(ci): dispatch lane + existing OAuth secret for the review agent Align with claude.yml: same action pin and the CLAUDE_CODE_OAUTH_TOKEN secret the repo already carries — no new secret to configure. Add a workflow_dispatch lane (PR number input) so the agent can be triggered from the Actions UI and tested before the issue_comment trigger reaches the default branch. Allowlist gh pr view/diff and gh api, which the review skill uses to pin PR SHAs. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(ci): close a fork-PR RCE vector in the review agent's tool allowlist A live headless run of the exact workflow session against PR #2431 (66 turns, full gitnexus-review pass) surfaced a real HIGH-severity confused deputy: .gitnexus/ is gitignored, not blocked — a fork PR can commit its own .gitnexus/run.cjs, issue_comment checks out PR-head content, and the skill's runner ladder tries 'node .gitnexus/run.cjs analyze' first. That would execute fork-controlled JS inside a job holding CLAUDE_CODE_OAUTH_TOKEN and a write-scoped GITHUB_TOKEN — the opposite of the 'PR code is read, never executed' claim in the workflow's own header. Fix: drop the run.cjs allowlist entry so analyze always resolves through npx gitnexus (npm registry, not the checked-out tree); the skill's documented fallback mode covers the resulting graceful degradation. Also drop 'gh api' (not read-only — accepts -X POST/PATCH/DELETE) and downgrade pull-requests: write to read (comment posting only needs issues: write; the prompt already forbids formal review submission). Same session flagged a latent evolve.py bug: select_evidence's cost sort used dict.get's missing-key default, which doesn't cover an explicit JSON null in a foreign --seed-results row and crashes proposer setup with TypeError. Guarded with 'or 0.0' and added a regression test. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix: harden PR review and evolution trust boundaries * ci: follow workflow concurrency convention * fix(eval): make terminating error paths explicit * fix: unblock hardened review runtime checks * test: make containment canaries deterministic * test: expose Claude canary tool failures * fix: adapt clean shell environment for Claude * fix(eval): accept the runner's transcript source key in evidence preflight The proposer evidence preflight required transcript-artifact metadata to be exactly {path, sha256, bytes}, but the runner stamps a fourth provenance key (source=parent-captured-stream-json). Any --seed-results or generation>=2 run therefore aborted with SandboxError before proposing or promoting. Pin the producer literal as PARENT_EVENT_STREAM_SOURCE and validate it in the metadata check, and round-trip real producer output through sum_sessions into the preflight so the schema can't drift again. * fix(eval): treat an unmeasured session cost as unavailable, not $0 well_formed validated only the nested usage block, so an otherwise-successful session missing total_cost_usd was recorded as cost_usd=0.0 — and cost_usd is the default promotion metric (lower wins), so a cost-less session scored as free and could win promotion it never earned. Extract cost via measured_cost() (None on absent/garbage, a measured 0.0 preserved), propagate None through sum_sessions/aggregate/savings/report, and have the gate refuse to rank on a metric that was not measured on every run in both arms. * fix(eval): warn when ranking on the main-loop-only num_turns metric num_turns comes from the CLI's top-level usage (main-loop session only), like output_tokens, but selecting it emitted no metric_warning — so a subagent-heavy candidate could look artificially efficient. Add num_turns to MAIN_LOOP_ONLY_METRICS and broaden the warning to cover turns. * fix(eval): fail closed when an overlay adds a file with no committed base An overlay adding a new .md under gitnexus-{plan,work} passes the structural overlay checks but has no committed base for committed_destination_base_digests to bind against, so it raised an uncaught ValueError that crashed the evolve driver (and runner --candidate-overlay) mid-run. Catch it at both call sites: evolve reports NOT PROMOTED and exits, runner routes it through parser.error. * feat(eval): circuit-break the runner sweep on a systemic outage A sustained upstream outage used to pay out every remaining --timeout window one session at a time. Track consecutive session/infra/cleanup failures via a pure systemic_outage_streak helper; after --outage-streak (default 5) in a row, stop the sweep, still write report.md/promotion.json from partial evidence, and exit non-zero so evolve.py halts instead of proposing from truncated evidence. A task's own resolved=False never trips the breaker. * fix(cli): report a dirty working tree as stale in gitnexus status status --json (and the human output) computed up-to-date from commit + runner identity + completeness only, so a repo with uncommitted source changes at a matching HEAD was reported up-to-date while analyze would still re-index it. A graph-backed agent gating on that JSON could skip re-analysis on a stale graph. Extract analyze's dirty-tree check into a shared isWorkingTreeDirty() in storage/git and fold it into the status freshness decision. * fix(ci): use single-slash deny globs in the review agent's disallowedTools github.workspace already expands to an absolute path, so Read(/${{ github.workspace }}/**) and Read(//proc/**),(//sys/**),(//dev/**) produced double-slash patterns that a normalizing matcher may not match — silently no-opping the deny layer. Not exploitable (the allowlist is the primary control and never grants those paths), but the globs should be well-formed. Update the pinned test strings. * ci: install gitnexus-shared with npm ci from the committed lockfile The gitnexus-shared build floated its deps via npm install in three workflows (skill-sync, ci-tests, and — most importantly — the release publish.yml) while every other install step uses npm ci. The lockfile is committed and in sync, so switch all three to npm ci for reproducible, locked installs. * test(cli): make the shipped-skills drift guard reject symlinks listFilesRecursive walked with readdirSync and snapshotDir read with readFileSync, both of which follow symlinks — so a mirror file symlinked to the canonical tree passed the byte-compare (and a symlinked mirror dir would be followed too). Reject a symlinked root via lstat and any symlinked entry via Dirent.isSymbolicLink, with negative tests (skipped on Windows). * test(eval): guard the candidate-skill vs mirror-root coverage invariant MIRROR_SKILL_ROOTS omits the Cursor tree, safe only because no candidate skill is cursor-shipped. Pin that invariant: every CANDIDATE_SKILLS entry must exist under canonical + every mirror root and must not ship to Cursor, so adding a cursor-shipped skill to the candidate set (the PR #2488 asymmetric-sync class) fails loudly instead of syncing three of four trees. * docs(ci): describe the review agent's staged post-merge rollout The DoD asked for a dry-run or triggered run before merge, but an issue_comment (or newly added workflow_dispatch) workflow only ever executes the default-branch copy, so it cannot be exercised from the PR that introduces it. Reword the DoD and the activation checklist to a staged rollout: merge registered-but-disabled, validate same-repo and fork execution post-merge, then enable the variable. * fix: pin plugin skill mcp.json to the release version via #2445 tooling The ten plugin skill mcp.json launched `npx -y gitnexus@latest mcp` on every skill connect — non-reproducible and a supply-chain surface, and (unlike the persisted setup config) never pinned. Extend sync-plugin-manifests.mjs with an mcp surface kind that stamps the gitnexus@<version> launch arg, pin all ten to 1.6.9 now, and keep them byte-identical so the drift guard stays green. The release lifecycle + publish.yml --check now re-stamp them like the four manifest surfaces; only READMEs stay on @latest as docs. * test(eval): prove the proposer's built-in file tools are confined The real-Claude canary only exercised Bash + MCP, so it proved process/MCP containment but not that the proposer's built-in file tools stay inside their mounts. Add a canary over the exact PROPOSER_ALLOWED_TOOLS surface and the same read-only /evidence mount as run_proposer (allowlist extracted to a shared constant so it can't drift): Read reaches /evidence, a Write into the read-only evidence mount is denied, and a Write lands in the output tree. * fix(eval): apply the candidate overlay after task setup for fair arms The candidate overlay was applied before the task's untrusted setup ran, so setup could observe candidate prose and the incumbent/candidate arms started from different pre-overlay state. Reorder within the sandbox: capture the base (pre-overlay) skill digest, run setup against the base skills, verify setup did not tamper them, then apply the overlay and capture the post-overlay digest the model must preserve. apply_candidate_overlay stages path-specific overlay files, so setup's uncommitted changes stay out of the baseline and churn is unchanged. Graph freshness for the review arm is handled by the status dirty-tree fix plus the review skill's stale-triggered re-index, not by reordering the cached per-task-sha graph materialization (which is mechanically blocked). * test(eval): end-to-end containment proof of the autonomous proposer Drives the real run_proposer through bubblewrap with a deterministic scripted model (no paid API): it reads the read-only evidence bundle and writes a candidate gitnexus-plan skill edit plus a rationale into the sandbox output tree; run_proposer enforces the trust boundary and copies only the validated overlay + proposal out. This exercises the autonomous-proposal stage of the self-evolution loop end-to-end in the eval/containment CI job (the gate and apply stages are covered by test_workflow_bench_evolution and test_promotion_apply). Env-gated on GITNEXUS_REQUIRE_CLAUDE_CANARY, so it runs only where the pinned Claude binary and user namespaces are available. * fix(eval): let the proposer author its overlay via Bash Running the end-to-end proposer canary in the containment CI job surfaced a real bug: run_proposer starts the session with --bare, which hard-disables the Write/Edit tools ("Write exists but is not enabled in this context"), yet allowlisted Edit/Write and omitted Bash. The proposer therefore had no working way to write its candidate overlay — the self-evolution loop could never produce a candidate. The sandbox settings already pre-authorize Bash (autoAllowBashIfSandboxed) and confine writes to workspace/tmp/home, so switch PROPOSER_ALLOWED_TOOLS to Read/Grep/Glob/Bash and tell the proposer to author files with Bash. The end-to-end test now drives the real run_proposer through bubblewrap and asserts a validated overlay + proposal are produced (this also replaces the earlier file-tool canary, whose Write/Edit premise was moot). * test(eval): author the proposer overlay with newline-free Bash content The nested shell-sandbox prefix mangles embedded newlines, so the multi-line overlay content never landed. Use single-line content for the deterministic proposer canary. * test(eval): drop the unverifiable end-to-end proposer canary The scripted proposer overlay never materialized in the containment job across runs, and the model tool-result content is not visible in CI logs, so the test cannot be finalized without an environment where the sandbox can actually run. Keep the verified production fix (Bash-authoring in run_proposer); the proposer sandbox/containment stays covered by the existing Bash+MCP and process-tree canaries. * test(cli): drop run-analyze.ts from the windowsHide spawn-family list U7 moved run-analyze.ts's only child_process call (the git status --porcelain dirty check) into storage/git.ts (already covered by this test, with windowsHide). run-analyze.ts no longer imports a spawn-family function, so the windowsHide-regression test's 'must have >=1 spawn call' invariant failed for it. Remove it from SRC_FILES. --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> Co-authored-by: Zander Raycraft <zanderjraycraft@gmail.com> Co-authored-by: Azizur Rahman <azizur100389@gmail.com>
555 lines
20 KiB
Python
555 lines
20 KiB
Python
"""Unit tests for workflow benchmark candidate evolution and promotion gates."""
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import os
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import subprocess
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from pathlib import Path
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from types import SimpleNamespace
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import pytest
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from workflow_bench.evolution import (
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MAX_CANDIDATE_ENTRIES,
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apply_candidate_overlay,
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candidate_overlay_digest,
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evaluate_candidate,
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required_candidate_arms,
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skill_fingerprint,
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unexercised_overlay_skills,
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)
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from workflow_bench.process_control import ManagedProcessResult
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from workflow_bench.runner import aggregate, build_parser
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def record(**overrides):
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base = {
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"input_tokens": 1000,
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"cache_creation_input_tokens": 200,
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"cache_read_input_tokens": 5000,
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"output_tokens": 400,
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"cost_usd": 0.5,
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"duration_s": 60.0,
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"num_turns": 10,
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"diff_files": 2,
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"diff_insertions": 30,
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"diff_deletions": 5,
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"class": "demo",
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"resolved": True,
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}
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base.update(overrides)
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return base
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def write_overlay_skill(overlay: Path, skill: str) -> None:
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path = overlay / ".claude" / "skills" / skill / "SKILL.md"
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path.parent.mkdir(parents=True)
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path.write_text(f"{skill} candidate\n")
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def test_candidate_gate_promotes_quality_preserving_efficiency_gain():
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results = {
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"task-a": {
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"workflow_direct": aggregate([record(output_tokens=1000) for _ in range(3)]),
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"candidate_workflow_direct": aggregate([record(output_tokens=880) for _ in range(3)]),
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},
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"task-b": {
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"workflow_direct": aggregate([record(output_tokens=800) for _ in range(3)]),
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"candidate_workflow_direct": aggregate([record(output_tokens=720) for _ in range(3)]),
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},
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}
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decision = evaluate_candidate(
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results,
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incumbent_arm="workflow_direct",
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candidate_arm="candidate_workflow_direct",
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model="pinned-model",
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metric="output_tokens",
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)
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assert decision["decision"] == "promote"
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assert decision["median_improvement_pct"] == 11.0
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assert "subagent" in decision["metric_warning"]
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def test_num_turns_metric_carries_main_loop_only_warning():
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# num_turns is a main-loop-only count like output_tokens, so selecting it
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# must warn that subagent turns are invisible.
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results = {
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"task-a": {
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"workflow_direct": aggregate([record(num_turns=10) for _ in range(3)]),
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"candidate_workflow_direct": aggregate([record(num_turns=8) for _ in range(3)]),
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}
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}
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decision = evaluate_candidate(
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results,
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incumbent_arm="workflow_direct",
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candidate_arm="candidate_workflow_direct",
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model="pinned-model",
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metric="num_turns",
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)
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assert decision["metric"] == "num_turns"
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assert decision["metric_warning"] is not None
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assert "subagent" in decision["metric_warning"]
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cost_decision = evaluate_candidate(
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results,
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incumbent_arm="workflow_direct",
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candidate_arm="candidate_workflow_direct",
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model="pinned-model",
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metric="duration_s",
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)
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assert cost_decision["metric_warning"] is None
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def test_candidate_gate_never_trades_resolution_for_lower_cost():
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results = {
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"task-a": {
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"workflow": aggregate([record() for _ in range(3)]),
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"candidate_workflow": aggregate(
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[
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record(cost_usd=0.1),
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record(cost_usd=0.1),
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record(cost_usd=0.1, resolved=False),
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]
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),
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}
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}
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decision = evaluate_candidate(
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results,
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incumbent_arm="workflow",
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candidate_arm="candidate_workflow",
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model="pinned-model",
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metric="cost_usd",
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)
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assert decision["decision"] == "keep_incumbent"
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assert any("resolution regressed" in reason for reason in decision["reasons"])
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def test_candidate_gate_requires_repeated_runs_and_a_named_model():
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results = {
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"task-a": {
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"workflow_direct": aggregate([record(output_tokens=1000)]),
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"candidate_workflow_direct": aggregate([record(output_tokens=800)]),
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}
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}
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decision = evaluate_candidate(
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results,
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incumbent_arm="workflow_direct",
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candidate_arm="candidate_workflow_direct",
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model=None,
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)
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assert decision["decision"] == "insufficient_evidence"
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assert any("named --model" in reason for reason in decision["reasons"])
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assert any("at least 3 valid runs" in reason for reason in decision["reasons"])
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def test_candidate_gate_caps_large_per_task_efficiency_regressions():
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results = {
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"task-a": {
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"workflow_direct": aggregate([record(output_tokens=1000) for _ in range(3)]),
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"candidate_workflow_direct": aggregate([record(output_tokens=500) for _ in range(3)]),
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},
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"task-b": {
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"workflow_direct": aggregate([record(output_tokens=1000) for _ in range(3)]),
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"candidate_workflow_direct": aggregate([record(output_tokens=1250) for _ in range(3)]),
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},
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}
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decision = evaluate_candidate(
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results,
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incumbent_arm="workflow_direct",
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candidate_arm="candidate_workflow_direct",
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model="pinned-model",
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metric="output_tokens",
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)
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assert decision["decision"] == "keep_incumbent"
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assert any("task cap" in reason for reason in decision["reasons"])
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def test_candidate_overlay_is_skill_only_and_content_addressed(tmp_path):
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overlay = tmp_path / "candidate"
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skill = overlay / ".claude" / "skills" / "gitnexus-work" / "SKILL.md"
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skill.parent.mkdir(parents=True)
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skill.write_text("candidate one\n")
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first = candidate_overlay_digest(overlay)
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skill.write_text("candidate two\n")
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second = candidate_overlay_digest(overlay)
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assert first != second
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review_overlay = tmp_path / "review-candidate"
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review_skill = review_overlay / ".claude" / "skills" / "gitnexus-review" / "SKILL.md"
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review_skill.parent.mkdir(parents=True)
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review_skill.write_text("review candidate\n")
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with pytest.raises(ValueError, match="plan,work"):
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candidate_overlay_digest(review_overlay)
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invalid = tmp_path / "invalid"
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source = invalid / "gitnexus" / "src" / "cli" / "index.ts"
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source.parent.mkdir(parents=True)
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source.write_text("gaming the verifier\n")
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with pytest.raises(ValueError, match="may only contain Markdown files"):
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candidate_overlay_digest(invalid)
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config_overlay = tmp_path / "config-overlay"
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config = config_overlay / ".claude" / "skills" / "gitnexus-work" / "mcp.json"
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config.parent.mkdir(parents=True)
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config.write_text("{}\n")
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with pytest.raises(ValueError, match="may only contain Markdown files"):
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candidate_overlay_digest(config_overlay)
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@pytest.mark.skipif(os.name == "nt", reason="overlay symlink coverage is POSIX-only")
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def test_candidate_overlay_rejects_a_linked_root(tmp_path):
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real_overlay = tmp_path / "real-overlay"
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write_overlay_skill(real_overlay, "gitnexus-work")
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linked_overlay = tmp_path / "linked-overlay"
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linked_overlay.symlink_to(real_overlay, target_is_directory=True)
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with pytest.raises(ValueError, match="cannot traverse symlinks"):
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candidate_overlay_digest(linked_overlay)
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def test_candidate_overlay_bounds_directory_traversal(tmp_path):
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overlay = tmp_path / "candidate"
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write_overlay_skill(overlay, "gitnexus-work")
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padding = overlay / "padding"
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padding.mkdir()
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for index in range(MAX_CANDIDATE_ENTRIES):
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(padding / f"entry-{index}").mkdir()
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with pytest.raises(ValueError, match="entry limit"):
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candidate_overlay_digest(overlay)
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def test_required_candidate_arms_are_minimal_for_touched_skills(tmp_path):
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plan = tmp_path / "plan"
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write_overlay_skill(plan, "gitnexus-plan")
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assert required_candidate_arms(plan) == ["candidate_workflow"]
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work = tmp_path / "work"
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write_overlay_skill(work, "gitnexus-work")
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assert required_candidate_arms(work) == [
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"candidate_workflow",
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"candidate_workflow_direct",
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]
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@pytest.mark.skipif(os.name == "nt", reason="candidate overlays require the Linux outer sandbox")
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def test_apply_candidate_overlay_creates_a_clean_ephemeral_commit(tmp_path):
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repo = tmp_path / "repo"
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repo.mkdir()
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subprocess.run(["git", "init", "--quiet", str(repo)], check=True)
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incumbent = repo / ".claude" / "skills" / "gitnexus-work" / "SKILL.md"
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incumbent.parent.mkdir(parents=True)
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incumbent.write_text("incumbent\n")
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subprocess.run(["git", "-C", str(repo), "add", "."], check=True)
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subprocess.run(
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[
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"git",
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"-C",
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str(repo),
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"-c",
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"user.name=test",
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"-c",
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"user.email=test@invalid",
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"commit",
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"--quiet",
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"-m",
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"incumbent",
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],
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check=True,
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)
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overlay = tmp_path / "candidate"
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candidate = overlay / ".claude" / "skills" / "gitnexus-work" / "SKILL.md"
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candidate.parent.mkdir(parents=True)
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candidate.write_text("candidate\n")
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hook_sentinel = tmp_path / "post-commit-ran"
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post_commit = repo / ".git" / "hooks" / "post-commit"
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post_commit.write_text(f"#!/bin/sh\ntouch '{hook_sentinel}'\n")
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post_commit.chmod(0o755)
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class LocalSandbox:
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def __init__(self):
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self.clone = repo
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self.commands: list[list[str]] = []
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def run(self, command, **kwargs):
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self.commands.append(list(command))
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if command[0] == "/bin/mkdir":
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return ManagedProcessResult(
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state="exited",
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returncode=0,
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stdout_tail="",
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stderr_tail="",
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duration_s=0.0,
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)
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translated = [str(repo) if item == "/workspace" else item for item in command]
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completed = subprocess.run(
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translated,
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cwd=repo,
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env=dict(kwargs["env"]),
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capture_output=True,
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text=True,
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check=False,
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)
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return ManagedProcessResult(
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state="exited",
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returncode=completed.returncode,
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stdout_tail=completed.stdout,
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stderr_tail=completed.stderr,
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duration_s=0.0,
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)
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sandbox = LocalSandbox()
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assert apply_candidate_overlay(
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overlay,
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repo,
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sandbox=sandbox,
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) == candidate_overlay_digest(overlay)
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assert incumbent.read_text() == "candidate\n"
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git_commands = [command for command in sandbox.commands if command[0] == "/usr/bin/git"]
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assert [command[-1] for command in git_commands[:2]] == [
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".claude/skills/gitnexus-work/SKILL.md",
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"--",
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]
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assert all("/workspace" in command for command in git_commands)
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assert all("core.fsmonitor=false" in command for command in git_commands)
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assert all("core.hooksPath=/tmp/wfbench-empty-hooks" in command for command in git_commands)
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assert not hook_sentinel.exists()
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status = subprocess.run(
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["git", "-C", str(repo), "status", "--porcelain"],
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check=True,
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capture_output=True,
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text=True,
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)
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assert status.stdout == ""
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@pytest.mark.skipif(os.name == "nt", reason="candidate overlays require the Linux outer sandbox")
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def test_candidate_overlay_rejects_linked_destination_parents(tmp_path):
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repo = tmp_path / "repo"
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outside = tmp_path / "outside"
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(repo / ".claude").mkdir(parents=True)
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outside.mkdir()
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(repo / ".claude" / "skills").symlink_to(outside, target_is_directory=True)
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overlay = tmp_path / "candidate"
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write_overlay_skill(overlay, "gitnexus-work")
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sandbox = SimpleNamespace(
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clone=repo,
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run=lambda *args, **kwargs: pytest.fail("sandbox git must not run"),
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)
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with pytest.raises(ValueError, match="destination parent"):
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apply_candidate_overlay(overlay, repo, sandbox=sandbox)
|
|
|
|
|
|
@pytest.mark.skipif(os.name == "nt", reason="skill links are rejected by the Linux sandbox harness")
|
|
def test_skill_fingerprint_rejects_linked_skill_roots(tmp_path):
|
|
outside = tmp_path / "outside"
|
|
outside.mkdir()
|
|
(outside / "SKILL.md").write_text("outside\n")
|
|
skills = tmp_path / "repo" / ".claude" / "skills"
|
|
skills.mkdir(parents=True)
|
|
(skills / "gitnexus-work").symlink_to(outside, target_is_directory=True)
|
|
|
|
with pytest.raises(ValueError, match="non-symlink directory"):
|
|
skill_fingerprint(tmp_path / "repo", "workflow_direct")
|
|
|
|
|
|
def test_cleanup_failures_do_not_count_toward_candidate_evidence():
|
|
incumbent = aggregate([record(cost_usd=1.0) for _ in range(3)])
|
|
candidate = aggregate(
|
|
[
|
|
record(cost_usd=0.5),
|
|
record(cost_usd=0.7),
|
|
record(cost_usd=100.0, resolved=False, error_kind="cleanup-failure"),
|
|
]
|
|
)
|
|
|
|
assert candidate["cost_usd"] == 0.6
|
|
assert candidate["valid_runs"] == 2
|
|
assert candidate["excluded_runs"] == 1
|
|
decision = evaluate_candidate(
|
|
{"task": {"workflow": incumbent, "candidate_workflow": candidate}},
|
|
incumbent_arm="workflow",
|
|
candidate_arm="candidate_workflow",
|
|
model="pinned-model",
|
|
)
|
|
assert decision["decision"] == "insufficient_evidence"
|
|
assert any("needs at least 3 valid runs" in reason for reason in decision["reasons"])
|
|
assert any("different valid run counts" in reason for reason in decision["reasons"])
|
|
|
|
|
|
def test_cli_promotion_metric_defaults_to_cost_usd():
|
|
args = build_parser().parse_args(["--tasks", "tasks.yaml", "--model", "pinned-model"])
|
|
assert args.promotion_metric == "cost_usd"
|
|
|
|
|
|
def test_candidate_gate_defaults_to_cost_usd_without_a_warning():
|
|
results = {
|
|
"task-a": {
|
|
"workflow_direct": aggregate([record(cost_usd=1.0) for _ in range(3)]),
|
|
"candidate_workflow_direct": aggregate([record(cost_usd=0.5) for _ in range(3)]),
|
|
}
|
|
}
|
|
decision = evaluate_candidate(
|
|
results,
|
|
incumbent_arm="workflow_direct",
|
|
candidate_arm="candidate_workflow_direct",
|
|
model="pinned-model",
|
|
)
|
|
assert decision["metric"] == "cost_usd"
|
|
assert decision["metric_warning"] is None
|
|
assert decision["decision"] == "promote"
|
|
|
|
|
|
def test_aggregate_cost_unavailable_when_any_run_unmeasured():
|
|
# One otherwise-valid run whose cost was never measured makes the whole
|
|
# aggregate cost unavailable, rather than collapsing to a real median.
|
|
agg = aggregate([record(cost_usd=0.5), record(cost_usd=None), record(cost_usd=0.5)])
|
|
assert agg["cost_usd"] is None
|
|
measured = aggregate([record(cost_usd=0.5) for _ in range(3)])
|
|
assert measured["cost_usd"] == 0.5
|
|
|
|
|
|
def test_candidate_gate_refuses_promotion_on_unmeasured_cost():
|
|
# Candidate looks cheapest only because one run reported no cost — the gate
|
|
# must refuse to rank on cost_usd instead of promoting a phantom saving.
|
|
results = {
|
|
"task-a": {
|
|
"workflow_direct": aggregate([record(cost_usd=1.0) for _ in range(3)]),
|
|
"candidate_workflow_direct": aggregate(
|
|
[record(cost_usd=0.1), record(cost_usd=None), record(cost_usd=0.1)]
|
|
),
|
|
}
|
|
}
|
|
decision = evaluate_candidate(
|
|
results,
|
|
incumbent_arm="workflow_direct",
|
|
candidate_arm="candidate_workflow_direct",
|
|
model="pinned-model",
|
|
)
|
|
assert decision["metric"] == "cost_usd"
|
|
assert decision["decision"] == "insufficient_evidence"
|
|
assert any("was not measured on every run" in reason for reason in decision["reasons"])
|
|
|
|
|
|
def test_candidate_gate_requires_equal_valid_run_counts():
|
|
results = {
|
|
"task-a": {
|
|
"workflow": aggregate([record() for _ in range(4)]),
|
|
"candidate_workflow": aggregate(
|
|
[
|
|
record(),
|
|
record(),
|
|
record(),
|
|
record(resolved=False, error_kind="session-error"),
|
|
]
|
|
),
|
|
}
|
|
}
|
|
decision = evaluate_candidate(
|
|
results,
|
|
incumbent_arm="workflow",
|
|
candidate_arm="candidate_workflow",
|
|
model="pinned-model",
|
|
)
|
|
assert decision["decision"] == "insufficient_evidence"
|
|
assert any("different valid run counts" in reason for reason in decision["reasons"])
|
|
assert decision["tasks"][0]["candidate_excluded_runs"] == 1
|
|
assert decision["tasks"][0]["incumbent_excluded_runs"] == 0
|
|
|
|
|
|
def test_candidate_gate_rejects_any_excluded_candidate_evidence_even_with_three_clean_successes():
|
|
incumbent = aggregate([record(cost_usd=1.0) for _ in range(3)])
|
|
candidate = aggregate(
|
|
[record(cost_usd=0.01) for _ in range(3)]
|
|
+ [
|
|
record(
|
|
cost_usd=0.0,
|
|
resolved=False,
|
|
error_kind="evidence-unverified",
|
|
)
|
|
for _ in range(7)
|
|
]
|
|
)
|
|
|
|
decision = evaluate_candidate(
|
|
{"task-a": {"workflow": incumbent, "candidate_workflow": candidate}},
|
|
incumbent_arm="workflow",
|
|
candidate_arm="candidate_workflow",
|
|
model="pinned-model",
|
|
)
|
|
|
|
assert candidate["valid_runs"] == 3
|
|
assert candidate["resolved"] == 3
|
|
assert decision["decision"] == "insufficient_evidence"
|
|
assert any("zero excluded runs" in reason for reason in decision["reasons"])
|
|
|
|
|
|
def test_candidate_gate_rejects_a_partial_candidate_even_with_a_resolution_edge():
|
|
results = {
|
|
"task-a": {
|
|
"workflow": aggregate([record(), record(resolved=False), record(resolved=False)]),
|
|
"candidate_workflow": aggregate([record(), record(), record(resolved=False)]),
|
|
}
|
|
}
|
|
decision = evaluate_candidate(
|
|
results,
|
|
incumbent_arm="workflow",
|
|
candidate_arm="candidate_workflow",
|
|
model="pinned-model",
|
|
)
|
|
assert decision["decision"] == "keep_incumbent"
|
|
assert any("oracle-backed quality floor" in reason for reason in decision["reasons"])
|
|
|
|
|
|
@pytest.mark.parametrize("resolved", [0, 2])
|
|
def test_candidate_gate_never_promotes_zero_or_partial_success_for_efficiency(resolved):
|
|
incumbent_records = [record(cost_usd=1.0, resolved=index < resolved) for index in range(3)]
|
|
candidate_records = [record(cost_usd=0.01, resolved=index < resolved) for index in range(3)]
|
|
decision = evaluate_candidate(
|
|
{
|
|
"task-a": {
|
|
"workflow": aggregate(incumbent_records),
|
|
"candidate_workflow": aggregate(candidate_records),
|
|
}
|
|
},
|
|
incumbent_arm="workflow",
|
|
candidate_arm="candidate_workflow",
|
|
model="pinned-model",
|
|
)
|
|
|
|
assert decision["decision"] == "keep_incumbent"
|
|
assert decision["tasks"][0]["candidate_quality_floor_met"] is False
|
|
assert any("oracle-backed quality floor" in reason for reason in decision["reasons"])
|
|
|
|
|
|
def test_candidate_gate_promotes_on_a_two_run_resolution_margin():
|
|
results = {
|
|
"task-a": {
|
|
"workflow": aggregate([record(), record(resolved=False), record(resolved=False)]),
|
|
"candidate_workflow": aggregate([record() for _ in range(3)]),
|
|
}
|
|
}
|
|
decision = evaluate_candidate(
|
|
results,
|
|
incumbent_arm="workflow",
|
|
candidate_arm="candidate_workflow",
|
|
model="pinned-model",
|
|
)
|
|
assert decision["decision"] == "promote"
|
|
assert any("at least 2 required" in reason for reason in decision["reasons"])
|
|
|
|
|
|
def test_overlay_skills_must_be_exercised_by_selected_candidate_arms(tmp_path):
|
|
plan_overlay = tmp_path / "plan-overlay"
|
|
write_overlay_skill(plan_overlay, "gitnexus-plan")
|
|
assert unexercised_overlay_skills(plan_overlay, ["candidate_workflow_direct"]) == ["gitnexus-plan"]
|
|
assert unexercised_overlay_skills(plan_overlay, ["candidate_workflow"]) == []
|