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https://github.com/alirezarezvani/claude-skills.git
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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
57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
#!/usr/bin/env python3
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"""SessionEnd hook for agent-launcher (OPT-IN).
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Disabled unless AGENT_LAUNCHER_SESSION=1 (and additionally AGENT_LAUNCHER_SESSIONEND
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!= 0). When enabled and an in-progress goal exists that is not yet at phase=done,
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prints a one-line reminder to checkpoint/advance the goal so the next session
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resumes cleanly. Any error exits 0 — a hook must never break a session.
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Stdlib-only.
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"""
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import json
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import os
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import sys
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from pathlib import Path
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def disabled() -> bool:
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if os.environ.get("AGENT_LAUNCHER_SESSION", "0") != "1":
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return True
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if os.environ.get("AGENT_LAUNCHER_SESSIONEND", "1") == "0":
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return True
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return False
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def find_goal() -> Path | None:
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for c in [Path.cwd() / "my-agent" / "goal.json", Path.cwd() / ".my-agent" / "goal.json"]:
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if c.exists():
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return c
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try:
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for d in sorted(Path.cwd().glob("my-agent-*/goal.json")):
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return d
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except OSError:
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pass
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return None
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def main() -> int:
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if disabled():
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return 0
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try:
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gp = find_goal()
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if not gp:
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return 0
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state = json.loads(gp.read_text())
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phase = state.get("phase", "interview")
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if phase == "done":
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return 0
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print(f"[agent-launcher] Launch still at phase '{phase}'. "
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f"Checkpoint it: `goal_state.py set --phase {phase} --note '...'` "
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f"(or `advance`). Resume next session with /cs:launch.")
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except Exception:
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return 0
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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