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 randommonicle/claude-skills --skill substantiate-outward-claimsgit clone --depth 1 https://github.com/randommonicle/claude-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/randommonicle/claude-skills/substantiate-outward-claims)<a href="https://agentmods.dev/skills/randommonicle/claude-skills/substantiate-outward-claims"><img src="https://agentmods.dev/badge/skills/randommonicle/claude-skills/substantiate-outward-claims/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/randommonicle/claude-skills/substantiate-outward-claims"><img src="https://agentmods.dev/badge/skills/randommonicle/claude-skills/substantiate-outward-claims.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 | $0.00102 | $0.00578 |
| Opus 5 | $0.00051 | $0.00289 |
| Sonnet 5 | $0.00020 | $0.00116 |
| Haiku 4.5 | $0.00010 | $0.00058 |
Grade A, and why
substantiate-outward-claims 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Substantiate outward claims
A public site nearly shipped "WoolSafe approved", a decibel figure, and a machine model designation, none of which could be substantiated — one of them contradicted by the manufacturer's own documentation while a search engine's AI overview confidently asserted the opposite. The exposure on outward claims is advertising standards and reputation, which is why this is separate from verified-citations (internal references).
The rules
- Every outward claim gets a primary or independent source, or explicit attribution. "The manufacturer states a 76dB rating" is honest; bare "76dB" is your claim now.
- An in-house assessment is not an independent certification. "Safe for wool" (our judgement) and "WoolSafe approved" (a certification body's mark) are different claims with different legal weight; never upgrade one into the other.
- Never launder a claim through an AI summary. Search-engine AI overviews and model memory blend marketing copy with real product data and assert the blend confidently — in the evidence, confidently wrong. Chase the vendor's own documentation; in a vendor-dominated domain, the SEO layer repeats numbers with no methodology while the vendor publishes the actual behaviour.
- A number with no traceable methodology is fabricated until shown otherwise — the archetype being a "75% of CVs auto-rejected" statistic that traced to a dead company's 2012 marketing.
- Label evidence strength in research that feeds customer-facing content: well-evidenced, weakly evidenced, or myth — and say which.
What this skill does not do
It does not govern internal engineering citations (verified-citations) or the claims inside generated client documents (deliverable-integrity handles claim drift in rewrites). It governs what the outside world is told as fact.
Why
Outward claims outlive their authors: they get quoted, cached, and screenshotted, and an indefensible one is a legal exposure that no later correction fully retrieves. Evidence: ICC LESSONS_LEARNED L-009 with both addenda; this repo's LESSONS_LEARNED lesson 4.
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 · 43 lines · 102 tokens per session scan A 0ae070bb52ea
substantiate-outward-claims is a skill published in the GitHub repository randommonicle/claude-skills (23 stars, last pushed 6d ago), licensed Apache-2.0. It adds 102 tokens to every session and 578 once invoked, about $0.0005 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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