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 statistics-fact-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/statistics-fact-checker)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/statistics-fact-checker"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/statistics-fact-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/statistics-fact-checker"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/statistics-fact-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 | $0.00036 | $0.02651 |
| Opus 5 | $0.00018 | $0.01326 |
| Sonnet 5 | $0.00007 | $0.00530 |
| Haiku 4.5 | $0.00004 | $0.00265 |
Grade A, and why
statistics-fact-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 8d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Statistics Fact Checker
What This Skill Does
Analyzes statistics used in a draft article and flags any that are misrepresented, lack context, use misleading framing, or require additional sourcing before publication.
When To Use This Skill
- Your draft includes statistics from external reports, studies, or databases and you want a systematic check before publication
- A data point feels significant but you're not confident the framing is accurate or contextually honest
- You are an editor reviewing a data-heavy piece and want a fast assessment of numerical risk areas
- You want to catch common statistical errors — conflating correlation with causation, percentage vs. percentage-point confusion, cherry-picked baselines
What You Need To Provide
Required: The specific statistics used in the article (quoted verbatim from the draft) along with their attributed sources; the story context Optional: The full draft text; any known methodological notes about the data sources; the publication audience (general vs. technically literate)
How the Assistant Approaches This
- Reads each statistic and assesses whether the attributed source plausibly produces this type of data, and whether the statistic has been reproduced accurately (correct figure, correct unit, correct year)
- Checks for common misrepresentation patterns: reversed causality presented as fact, relative vs. absolute risk conflation, percentage vs. percentage-point errors, non-representative sample presented as universal, outdated data, and inappropriate comparisons across different measurement methodologies
- Flags missing context that would change how a reader interprets the statistic — base rate, sample size, margin of error, comparison period
- For each flagged item, specifies the type of issue and the minimum correction or clarification needed
- Closes with a "Next Step" note: which statistic to verify first (typically the highest-risk item or the one the story's argument depends on most), and whether claim-verification-checklist should be run on the full draft after statistical issues are resolved
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.
- 8d ago First seen · 147 lines · 36 tokens per session scan A 59cc7915a14e
statistics-fact-checker is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 36 tokens to every session and 2,651 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 2026-09-04.
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