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Skill lifecycle promotion

Skill agentlas-ai/Agentlas-OS/skills/skill-lifecycle-promotion

Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.From its SKILL.md

Install
npx -y skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.2 KB, 227 tokens by cl100k_base, as published. Nobody here has run it

Skill Lifecycle Promotion

Use this skill when a generated or packaged Agentlas repo needs governed skill promotion metadata.

Procedure

  1. Add .agentlas/skill-registry.json as an export-only candidate registry.
  2. Add empty .agentlas/skill-trials.jsonl and .agentlas/curator-decisions.jsonl.
  3. Keep every skill at tier: candidate on export.
  4. Keep runtimeFirstClassRecallEnabled: false unless a local Curator later approves promotion.
  5. Add success predicates and situation tags for every skill.
  6. Separate ## Memory Events from ## Skill Trial Events.
  7. Treat LLM rubric review as weak evidence only.
  8. Block promotion when authority separation, sealed holdouts, replayability, or rollback evidence is missing.
  9. Include false-accept, blind-spot, and drift terms in any durable-error budget.

Output

Return:

  • registry files added or checked;
  • promotion tier status;
  • evidence gaps;
  • rollback/quarantine status;
  • residual risks.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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