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 ur-grue/autopunk-media-skills --skill libel-risk-checkergit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/libel-risk-checker)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/libel-risk-checker"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/libel-risk-checker/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/ur-grue/autopunk-media-skills/libel-risk-checker"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/libel-risk-checker.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 | $0.00041 | $0.01904 |
| Opus 5 | $0.00020 | $0.00952 |
| Sonnet 5 | $0.00008 | $0.00381 |
| Haiku 4.5 | $0.00004 | $0.00190 |
Grade A, and why
libel-risk-checker 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Libel Risk Checker
What This Skill Does
Reviews a draft for statements that carry a credible risk of defamation, producing a flagged checklist of red-flag passages with a plain-language explanation of why each is potentially problematic.
When To Use This Skill
- Before publishing any article, script, or report that makes negative claims about a named individual, company, or organisation
- When a source has made a serious allegation and you are deciding whether to include it
- When a subject has threatened legal action and you need to locate the specific passages at issue
- As a final pre-publication check alongside your standard copy-editing pass
- When commissioning editors want a structured risk overview before sending a piece to a lawyer
What You Need To Provide
Required: The full draft text to be reviewed. Optional: The jurisdiction in which the piece will be published (e.g., England and Wales, United States, Australia) — different countries have different defamation standards, and naming a jurisdiction improves the relevance of the flags; the name of any individual or organisation who has been given a right of reply, and what their response was.
How the Assistant Approaches This
- Reads the full draft and identifies statements that could be understood as factual allegations — as opposed to clearly labelled opinion — about a named or identifiable individual, company, or organisation.
- For each flagged passage, assesses it against a standard checklist of defamation red flags: whether the claim is verifiably false or unverified; whether it could lower the subject's reputation in the eyes of a reasonable person; whether the subject is identified or identifiable; whether the source of the claim is attributed or left anonymous; and whether any public-interest or fair-comment defence is apparent from the text.
- Produces a numbered red-flag report listing each passage, the specific concern, and a practical suggestion for reducing risk (e.g., attribute to a named source, add the subject's response, reframe as confirmed rather than alleged, or seek legal review before publishing).
What ships with it
1 file 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.
- 12d ago First seen · 105 lines · 41 tokens per session scan A 723f3ff7e3c4
libel-risk-checker is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 41 tokens to every session and 1,904 once invoked, about $0.0002 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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