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meta-skill

meta-skill is a skill for Claude Code, Codex from dailyaiagents-cpu/dailyai-os. It costs 128 tokens per session (1,149 once invoked), scanned A, original, MIT.

A skill-building pipeline that turns a problem description into a structured agent skill, including its instructions, input and output rules, and failure statuses.

In plain words
What is it for?
Use it to create a new skill from a short request, preview the result without writing files, and validate the generated files with voice, syntax, scrubber, and smoke checks.
Why use it?
It limits generated work to a fixed template and runs checks before saving the new skill, reducing the chance of producing an incomplete or invalid one.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

not rated 0repo 4mo ago A scan 128 tokens original MIT

Good fit Use it to create a new skill from a short request, preview the result without writing files, and validate the generated files with voice, syntax, scrubber, and smoke checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dailyaiagents-cpu/dailyai-os/meta-skill
View source ↗ dailyaiagents-cpu/dailyai-os
Install

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.

Any agent
npx skills add dailyaiagents-cpu/dailyai-os --skill meta-skill
Clone the repo
git clone --depth 1 https://github.com/dailyaiagents-cpu/dailyai-os

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for meta-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/meta-skill/github.svg)](https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/meta-skill)
Your own site
<a href="https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/meta-skill"><img src="https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/meta-skill/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.

agentmods 80×15 button for meta-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/meta-skill"><img src="https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/meta-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,149 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00128 $0.01149
Opus 5 $0.00064 $0.00575
Sonnet 5 $0.00026 $0.00230
Haiku 4.5 $0.00013 $0.00115

Measured 11d ago against content hash 648bd8239cea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

meta-skill 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (run.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/meta-skill/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

meta-skill

The thesis: AI agents writing arbitrary code is risky and unbounded. AI agents filling a structured template under hard validation is bounded and shippable. This skill is the demonstration: a tightly-shaped pipeline where the LLM authors only the parts of a new skill that humans would hand-write anyway, while the bash skeleton, error handling, and gate calls are generated deterministically.

Procedure

bash skills/meta-skill/run.sh "I need a skill that watches X for Y and writes to Z"
bash skills/meta-skill/run.sh --dry-run "<problem>"  # parse + validate, no write

Pipeline

  1. Parse the problem string via local Ollama qwen3.5:latest. Extract:
    • skill_name (kebab-case, 3-6 words)
    • owner_agent (one of: content, builder, ops, sales, research, accountant, trading, hermes)
    • description (one sentence, voice-rule-compliant)
    • pipeline_steps (3-7 numbered steps)
    • trigger (cron / event / manual / on-skill-call)
    • inputs (named parameters; empty list OK)
    • outputs (paths or stdout shape)
  2. Generate SOUL.md (intent + failure mode + voice anchor; 100-200 words).
  3. Generate SKILL.md (frontmatter + procedure + status codes; static template filled with extracted fields).
  4. Generate run.sh (skeleton with proper error handling, voice-gate calls if outputs are text-bound, smoke-test stub, TODO markers for the actual pipeline body).
  5. Validate: a. python3 tools/voice/score.py on the SKILL.md description → must score >= 60. b. python3 tools/voice/scrubber.py on the description → must pass. c. bash -n run.sh → must pass syntax check. d. Smoke-test: bash run.sh --dry-run → must exit non-error (rc != 2) and produce a STATUS= line.
  6. Land:
    • If all 4 validations pass → write to ~/.openclaw/skills/<name>/ (or ~/.hermes/skills/<name>/ for hermes-owned).
    • If any fails → write to data/proposed_skills/cont-17-meta/<name>/ for Cooper review, with a _VALIDATION.md file detailing what failed.
  7. Output JSON to stdout: {status, skill_path, smoke_test_result, gates_passed}.

Read the full file on GitHub · 89 lines

Files

What ships with it

2 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.

Changes

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.

  1. 11d ago First seen · 89 lines · 128 tokens per session scan A 648bd8239cea

Subscribe to this mod's changes

meta-skill is a skill published in the GitHub repository dailyaiagents-cpu/dailyai-os (0 stars, last pushed 4mo ago), licensed MIT. It adds 128 tokens to every session and 1,149 once invoked, about $0.0006 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 2026-08-31.

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