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.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotionThe instruction itself
3 sections, as written by the authorSkill Lifecycle Promotion
Use this skill when a generated or packaged Agentlas repo needs governed skill
promotion metadata.
Procedure
- Add
.agentlas/skill-registry.jsonas an export-only candidate registry. - Add empty
.agentlas/skill-trials.jsonland
.agentlas/curator-decisions.jsonl.
- Keep every skill at
tier: candidateon export. - Keep
runtimeFirstClassRecallEnabled: falseunless a local Curator later
approves promotion.
- Add success predicates and situation tags for every skill.
- Separate
## Memory Eventsfrom## 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
Take agentlas-ai/skill-lifecycle-promotion from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.