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 clawdotnet/openclaw.net --skill meta-skill-creatorgit clone --depth 1 https://github.com/clawdotnet/openclaw.netWrote 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/clawdotnet/openclaw.net/meta-skill-creator)<a href="https://agentmods.dev/skills/clawdotnet/openclaw.net/meta-skill-creator"><img src="https://agentmods.dev/badge/skills/clawdotnet/openclaw.net/meta-skill-creator/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/clawdotnet/openclaw.net/meta-skill-creator"><img src="https://agentmods.dev/badge/skills/clawdotnet/openclaw.net/meta-skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00108 | $0.04265 |
| Opus 5.5 | $0.00043 | $0.01706 |
| Sonnet 5.5 | $0.00022 | $0.00853 |
| Haiku 4.5 | $0.00011 | $0.00426 |
Grade A, and why
meta-skill-creator 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 1mo 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.
This is a copy
91% identical to meta-skill-creator — 182 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Meta-Skill Creator
Safeguarded DAG that synthesizes a new bundled meta-skill from observed skill co-occurrence patterns + user description of the desired workflow. It now separates preview-only, persisted-proposal, and fully gated modes so lightweight requests do not pay for persistence or smoke testing. The workflow separates generic skill creation from meta-skill composition, checks trigger collisions, classifies operational risk, and previews the proposal before optional persistence.
Output is a SKILL.md candidate written to ~/.openclaw/proposals/<id>/.
By default it is not auto-loaded; run openclaw skills meta-runs proposals accept <session-id> --proposal <id>
to enable. If the operator has enabled the auto-propose auto_enable setting,
this manual path also runs the same conservative static safety preflight used by
cron/dream auto-propose and may promote a low-risk gated proposal immediately.
Fallback
If creator's pipeline fails at any step, report the failure verbatim to the user:
- State which step failed (e.g. "harvest", "lint")
- Quote the error message from the orchestrator's structured log
- Stop. Do NOT improvise.
Do NOT:
- Claim a proposal was written unless you have verified it by reading
~/.openclaw/proposals/<id>/SKILL.mdwith theread_filetool - Invent file paths, proposal IDs, or skill names that you have not seen in the orchestrator's actual output
- "Manually run" the individual skills as a recovery — that bypasses the validation gates the user explicitly opted into
If the user wants to retry, suggest they re-issue the request after the underlying error is resolved (often a sandbox or provider issue), not a manual workaround.
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.
- 1mo ago Changed f73eeb44cb0b
- 1mo ago First seen · 456 lines · 108 tokens per session scan A 6ac9b20b734b
meta-skill-creator is a skill published in the GitHub repository clawdotnet/openclaw.net (527 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 4,265 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to meta-skill-creator, differing in 182 lines, and is treated as a copy.
Other skills, from other repositories
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
github
Interact with GitHub (issues, PRs, repos, releases) using the gh CLI. Use when asked to read or write GitHub state — open an issue, fetch PR diff, comment, list runs, etc.
pandic-office
Convert Markdown to PDF (or DOCX/EPUB/HTML) using the pandoc CLI. Use when asked to produce a PDF report, brief, summary, or any document where the input is Markdown and the output should be a polished, paginated file.
Manipulate PDF files — extract text, count pages, render thumbnails, merge or split documents. Use for PDF-specific operations that don't fit markdown-converter (general read) or pandic-office (write from markdown).
tmux
Manage long-running shell sessions with tmux — start a detached session, run a long task, reattach later, capture output. Use when a task takes longer than a single tool call (build, test, log tail).
unity-development
Unity/C# development: MonoBehaviour lifecycle, ScriptableObjects, Addressables, URP/HDRP, physics, UI, editor scripting, and CLI builds.