Agent skill

Skill Lifecycle Promotion

by agentlas-ai in agentlas-ai/Agentlas-OS

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

Apache-2.0Auto-check passedAgent Workflows

Install Skill Lifecycle Promotion

skills CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentlas-ai/Agentlas-OS skill-lifecycle-promotion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-lifecycle-promotion .claude/skills/skill-lifecycle-promotion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-lifecycle-promotion
GitHub stars
1.6k
Token cost
~334 tokens
SKILL.md length
138 words
Files
1
Skills in repo
53
Repo updated
First seen
Licence
Apache-2.0

At a glance

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

  • Works in 9 steps: Add .agentlas/skill-registry.json as an… → Add empty .agentlas/skill-trials.jsonl and → Keep every skill at tier: candidate on… → …
  • Auditing Agentlas skill lifecycle metadata
  • SKILL.md covers Procedure and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Lifecycle Promotion is an agent skill from agentlas-ai/Agentlas-OS. Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.

Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Skill management. The repository describes itself as: Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model. The licence is Apache-2.0.

When your agent uses it

  • Auditing Agentlas skill lifecycle metadata
  • Skill-registry.json
  • Curator promotion decisions
  • First-class skill promotion gates

Example prompts

  • “/skill-lifecycle-promotion”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Add .agentlas/skill-registry.json as an export-only candidate registry.
  2. Add empty .agentlas/skill-trials.jsonl and
  3. Keep every skill at tier: candidate on export.
  4. Keep runtimeFirstClassRecallEnabled: false until semantic curation and the
  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
  9. Include false-accept, blind-spot, and drift terms in any durable-error budget.

What it can do on your machine

Read from SKILL.md and the folder at commit 6254906. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Lifecycle Promotion loads about 334 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 138 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~334

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentlas-ai/Agentlas-OS at commit 6254906, republished under its Apache-2.0 licence (© agentlas-ai). 138 words, ~334 tokens.

Download SKILL.mdSave it as .claude/skills/skill-lifecycle-promotion/SKILL.md (or your agent's skills folder).
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.

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 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.

Output

Return:

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

© agentlas-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/skill-lifecycle-promotion of agentlas-ai/Agentlas-OS.

Open the folder on GitHubat commit 6254906

Compare with similar skills

Skill Lifecycle Promotion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Lifecycle Promotion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Lifecycle Promotion this skillagentlas-ai/Agentlas-OS1.6k—~334Automated safety check: PassApache-2.0
Darwin Skill Optimizeralchaincyf/darwin-skill6.2k1 repos~4.7kAutomated safety check: PassMIT
Using Agent Skillsaddyosmani/agent-skills103k4 repos~2.4kAutomated safety check: PassMIT
Ponytail Help CardDietrichGebert/ponytail159k—~726Automated safety check: PassMIT
Skill Creatorzhayujie/CowAgent47k—~4.7kAutomated safety check: NotesMIT
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Skill Lifecycle Promotion

What does Skill Lifecycle Promotion do?

A skill your agent uses when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates. Skill Lifecycle Promotion is an agent skill from agentlas-ai/Agentlas-OS.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.

When should I use Skill Lifecycle Promotion?

Skill Lifecycle Promotion fits situations like: auditing Agentlas skill lifecycle metadata; skill-registry.json; curator promotion decisions; first-class skill promotion gates.

How do I install Skill Lifecycle Promotion in Claude Code?

Run `npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a claude-code`. Or copy the skill folder (skills/skill-lifecycle-promotion in agentlas-ai/Agentlas-OS) into .claude/skills/skill-lifecycle-promotion in your project. Claude Code loads it when a task matches its description.

How do I install Skill Lifecycle Promotion in Codex?

Run `npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a codex`. Or copy the skill folder (skills/skill-lifecycle-promotion in agentlas-ai/Agentlas-OS) into .agents/skills/skill-lifecycle-promotion in your project. Codex loads it when a task matches its description.

Can I use Skill Lifecycle Promotion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-lifecycle-promotion, .gemini/skills/skill-lifecycle-promotion, .github/skills/skill-lifecycle-promotion and .opencode/skills/skill-lifecycle-promotion in your project.

What does Skill Lifecycle Promotion need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Lifecycle Promotion is instructions for the agent only.

Does Skill Lifecycle Promotion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Lifecycle Promotion safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Lifecycle Promotion use?

Skill Lifecycle Promotion is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Lifecycle Promotion use?

About 334 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Lifecycle Promotion?

Skills that share tags, products or a category with Skill Lifecycle Promotion: Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars), Using Agent Skills (addyosmani/agent-skills, 103k stars), Ponytail Help Card (DietrichGebert/ponytail, 159k stars) and Skill Creator (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Lifecycle Promotion?

agentlas-ai (a GitHub organization) maintains it in agentlas-ai/Agentlas-OS, which has 1,582 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 8, 2026.

Source: agentlas-ai/Agentlas-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.