agentlas-core-engine-m…
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into…
Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.
Claude Code
$ npx -y skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion --agent claude-code
Codex
$ npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a codex -y
Cursor
$ npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a cursor -y
Gemini CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a gemini-cli -y
GitHub Copilot
$ npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a github-copilot -y
OpenCode
$ npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a opencode -y
Windsurf
$ npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a windsurf -y
name: skill-lifecycle-promotion description: "Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates."
Use this skill when a generated or packaged Agentlas repo needs governed skill promotion metadata.
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` until semantic curation and the trusted owner approval service accept the exact staged instruction/skill diff. Curator decisions never authorize executable file changes by themselves. 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.
Return:
An open-source AI agent OS inspired by OpenAI Dots, Meta Muse, Claude Duet, Nous Hermes, and Mem0. Built to lead entire projects rather than isolated prompts. Model-agnostic (BYOM) and native to Claude Code, Codex, Cursor, Antigravity, and Agentlas Desktop.
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