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Author SHA1 Message Date
Claude
a088c8ba77
fix: phantom-path sweep — 888 unresolvable references to zero 
A directory reorg added a skills/ path segment; hundreds of references never
followed. This sweep repoints every path-like reference in SKILL.md, agents,
commands, orchestration, and templates to verified on-disk targets:

- 30 root commands + 19 root agents: missing skills/ segment inserted
- 7 c-level persona agents: 17 hallucinated reference filenames substituted
  with the real files (e.g. okr_execution.md -> process_frameworks.md)
- 5 research skills: phantom scripts/office/validate.py step replaced with a
  runnable stdlib zip-integrity check
- email agents: skills frontmatter corrected to productivity/email
- orchestration/ORCHESTRATION.md + templates: stale paths fixed;
  agent-template now requires trigger phrasing in descriptions (root cause)
- 76 more files across engineering, c-level-advisor, compliance-os,
  research-ops, ra-qm, marketing, productivity; dual-publish pairs mirrored
- dead refs dropped/replaced where no target ever existed (REGISTRY.md,
  trend_analyzer.py, cursor-microinteractions.md)

New: scripts/check_paths.py linter (CI gate G1) + narrow allowlist for
teaching examples. Verified: 540 files scanned, 0 unresolvable.

https://claude.ai/code/session_019AJddAL1NADWMXsy1qNPQF
 2026-06-10 14:33:00 +00:00
Reza Rezvani
17cf7dfc62 feat(engineering): add karpathy-coder — active coding discipline enforcer 
Implements Karpathy's 4 coding principles (Think Before Coding, Simplicity
First, Surgical Changes, Goal-Driven Execution) as an active enforcement
plugin, not just passive guidelines. Derived from Karpathy's X post on LLM
coding pitfalls but goes far beyond the source material with automated
detection tools, a review agent, and CI integration patterns.

Differentiator vs forrestchang/andrej-karpathy-skills (prompt-only, single
SKILL.md): this version ships real tooling that DETECTS violations instead
of just documenting principles.

Plugin contents (engineering/karpathy-coder/):
- SKILL.md with `context: fork` for skill chaining
- 4 Python tools (stdlib only):
  - complexity_checker.py — cyclomatic complexity, class density, nesting
    depth, function length, premature abstractions (Principle #2)
  - diff_surgeon.py — diff noise ratio: comment-only changes, whitespace,
    style drift, drive-by refactors, quote-style swaps (Principle #3)
  - assumption_linter.py — detects "just", "obviously", "should work",
    vague actions, unscoped users, missing format specs (Principle #1)
  - goal_verifier.py — scores plan steps 0-3 for verification quality,
    flags vague criteria, checks for final verification (Principle #4)
- 1 sub-agent: karpathy-reviewer (runs all 4 principles against a diff)
- 1 slash command: /karpathy-check (dispatches the reviewer)
- 1 pre-commit hook: karpathy-gate.sh (non-blocking, warns on violations)
- 3 reference docs: karpathy-principles.md (full context + when to relax),
  anti-patterns.md (10+ before/after examples), enforcement-patterns.md
  (Husky, pre-commit framework, GitHub Actions CI integration)
- .claude-plugin/plugin.json manifest (v2.3.0)
- Cross-tool compatible: works with any AGENTS.md-based CLI

All 4 scripts verified: --help passes, smoke tests run correctly.
complexity_checker catches its own nesting depth. assumption_linter
correctly flags "just", "obviously", "should work". goal_verifier
correctly scores plans with/without verification steps.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-12 13:29:55 +02:00