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Skill Lifecycle Promotion Agent Skill

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

299 tokens
context cost
SKILL.md, read when the skill is used
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1 165
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion

The instruction itself

3 sections, as written by the author

Skill Lifecycle Promotion

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

promotion metadata.

Procedure

  • Add .agentlas/skill-registry.json as an export-only candidate registry.
  • Add empty .agentlas/skill-trials.jsonl and

.agentlas/curator-decisions.jsonl.

  • Keep every skill at tier: candidate on export.
  • Keep runtimeFirstClassRecallEnabled: false unless a local Curator later

approves promotion.

  • Add success predicates and situation tags for every skill.
  • Separate ## Memory Events from ## Skill Trial Events.
  • Treat LLM rubric review as weak evidence only.
  • Block promotion when authority separation, sealed holdouts, replayability, or

rollback evidence is missing.

  • 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.

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How to use it

Copy the folder

Take agentlas-ai/skill-lifecycle-promotion from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.