Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xvirobotics/metabot --skill metaskillgit clone --depth 1 https://github.com/xvirobotics/metabotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xvirobotics/metabot/metaskill)<a href="https://agentmods.dev/skills/xvirobotics/metabot/metaskill"><img src="https://agentmods.dev/badge/skills/xvirobotics/metabot/metaskill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xvirobotics/metabot/metaskill"><img src="https://agentmods.dev/badge/skills/xvirobotics/metabot/metaskill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.00649 |
| Opus 5 | $0.00028 | $0.00324 |
| Sonnet 5 | $0.00011 | $0.00130 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
metaskill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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: $ARGUMENTS
Auto-Detected Context
Working directory: !pwd
Existing subdirectories: !ls -d */ 2>/dev/null | head -20 || echo "empty directory"
Skill base: !for d in ".codex/skills/metaskill" ".claude/skills/metaskill" "$HOME/.codex/skills/metaskill" "$HOME/.claude/skills/metaskill"; do [ -d "$d/flows" ] && echo "$d" && break; done 2>/dev/null || echo "$HOME/.codex/skills/metaskill"
Step 1: Detect Intent
Analyze $ARGUMENTS to determine the mode:
-
Team mode (default): The user wants a complete agent team for a project type. Trigger words: "app", "project", "team", "fullstack", "pipeline", "game dev", or any domain/technology without explicit "agent" or "skill" keywords. Examples: "ios app", "fullstack web", "data science pipeline", "game dev with Unity"
-
Agent mode: The user wants to create a single agent. Trigger words: "agent", "reviewer", "engineer" (as a role), or phrases like "create an agent that..." Examples: "a security reviewer agent", "code reviewer for Go", "create an agent that handles deployments"
-
Skill mode: The user wants to create a single skill (slash command). Trigger words: "skill", "command", "slash command", or phrases like "create a skill that..." 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.
Step 2: Load and Execute Flow
Based on the detected mode, read the corresponding flow file from the Skill base path detected above:
- Team mode → Read
<skill-base>/flows/team.md - Agent mode → Read
<skill-base>/flows/agent.md - Skill mode → Read
<skill-base>/flows/skill.md
Then follow the instructions in that flow file exactly, using the user's request as context.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 46 lines · 57 tokens per session scan A 736b7ed4cb12
metaskill is a skill published in the GitHub repository xvirobotics/metabot (976 stars, last pushed 7d ago), licensed MIT. It adds 57 tokens to every session and 649 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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