- Conflict resolution takes dev's counter surfaces and re-applies the
agent-launcher marketplace entry (description trimmed to 950 chars for the
new <=1024 guard) and README domain row
- plugin.json source/attribution moved verbatim to authoring-notes.json per
the post-#954 schema dev now enforces; version aligned to 2.11.2
- claude-opus-4-8 (retired, G7-blocking since #938) pinned to claude-opus-5
across 5 scripts + example build sheet; all touched scripts re-smoke-tested
- 4 references topped up with external sources (7-8 each)
- DELIVERY-REPORT.md removed from the public tree (sprint artifact; content
preserved in PR #961 body and git history) — SPEC.md stays as build target
- Gates green: derive_counters --check pass, plugin-json 94 OK + marketplace
guard OK, frontmatter 0 errors, model freshness 0 findings, smoke 0 failed,
hooks exit 0 with and without AGENT_LAUNCHER_SESSION
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Bzm6Pafyxja6g4jUDPcei
Adds the agent-launcher/ top-level domain — a plugin re-implementation of
Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a
fork) for building Claude Managed Agents (CMA) in the user's own account.
Every session starts with a goal (./my-agent/goal.json, surfaced by an opt-in
AGENT_LAUNCHER_SESSION=1 SessionStart hook + /cs:goal); loop_compiler.py
compiles that goal into a bounded grade->iterate loop (CMA user.define_outcome
self-grading, max_iterations 1..20), a recurring POSIX-cron scheduled-deployment
loop, or a single-pass interview->stage->launch workflow.
- 6 skills: agent-launcher-orchestrator (context: fork goal router) + interview
+ stage-launch + grade-iterate + run-without-you + wrap-up
- 18 stdlib-only deterministic scaffolder tools (NO network/API calls; live
launches emitted as BYOK curl that never prints the key); all pass --help/--sample
- 4 agents (orchestrator + interviewer + grader + deployer), 8 /cs:* commands
- opt-in SessionStart/SessionEnd hooks (exit 0 on any error), 5 shared
references, 4 assets (build-sheet schema + overview/next-directions templates
+ example)
- validators enforce CMA limits (<=20 skills/session, <=8 memory stores,
depth-1 multiagent, max_iterations <=20, <=1000 deployments/org)
- registered in marketplace.json; headline counters trued up via
derive_counters.py --check (skills 362->368, domains 18->19, tools 644->664,
refs 741->746, agents 102->106, commands 116->124, plugins 88->89)
Distinct from engineering/agent-harness (generic bounded loop over any domain)
and engineering/write-a-skill (authors Claude Code skills, not CMAs).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012FwXG6TqCXKZQvF4iD69cv
