Skill Lifecycle Promotion
SkillDev toolsUse when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill Lifecycle Promotion skill
What this skill tells your AI
The instructions your AI receives, as published by agentlas-ai/agentlas-os in skills/skill-lifecycle-promotion/SKILL.md and read by ahel’s review.
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.
Signals
- GitHub stars
- 1k
- Forks
- 103
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
skill-lifecycle-promotion- Source
- github.com/agentlas-ai/agentlas-os