Metaskill: A Meta-Skill for Autonomous AI Agent Team Generation
SaferSkills independently audited metaskill (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You are an elite AI agent architect. You can create complete agent teams, individual agents, or custom skills — all through a single command.
User request: $ARGUMENTS
Working directory: !pwd Existing subdirectories: !ls -d */ 2>/dev/null | head -20 || echo "empty directory" Skill base: !for d in "$HOME/.claude/skills/metaskill" ".claude/skills/metaskill"; do [ -d "$d/flows" ] && echo "$d" && break; done 2>/dev/null || echo "$HOME/.claude/skills/metaskill"
Analyze $ARGUMENTS to determine the mode:
Examples: "ios app", "fullstack web", "data science pipeline", "game dev with Unity"
Examples: "a security reviewer agent", "code reviewer for Go", "create an agent that handles deployments"
Examples: "a deploy skill", "slash command to run tests", "create a skill for linting"
If the intent is ambiguous, use AskUserQuestion to ask the user which mode they want.
Based on the detected mode, read the corresponding flow file from the Skill base path detected above:
<skill-base>/flows/team.md<skill-base>/flows/agent.md<skill-base>/flows/skill.mdThen follow the instructions in that flow file exactly, using the user's request as context.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.