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 Mexregkan/claude-for-researchers --skill claim-auditgit clone --depth 1 https://github.com/Mexregkan/claude-for-researchersWrote 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/mexregkan/claude-for-researchers/claim-audit)<a href="https://agentmods.dev/skills/mexregkan/claude-for-researchers/claim-audit"><img src="https://agentmods.dev/badge/skills/mexregkan/claude-for-researchers/claim-audit/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/mexregkan/claude-for-researchers/claim-audit"><img src="https://agentmods.dev/badge/skills/mexregkan/claude-for-researchers/claim-audit.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 | $0.00075 | $0.02231 |
| Opus 5 | $0.00037 | $0.01115 |
| Sonnet 5 | $0.00015 | $0.00446 |
| Haiku 4.5 | $0.00007 | $0.00223 |
Grade A, and why
claim-audit 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 7d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
claim-audit — be the first hostile reader of your own result
Why this exists
The calculation is usually right. The naming is what goes wrong.
The mechanism is worth stating precisely, because it tells you where to intervene. An
overclaim is not invented in the summary. It is minted earlier, in the label on a check —
and the summary, the commit message, the CHANGELOG.md row and the workbook section then all
inherit that label, because they are written in the same pass, from the same context, by the
same process. By the time you are drafting prose, you are not writing a claim; you are copying
one. Auditing the summary audits the copy.
The structural consequence: if nobody reads the label against the body, the first adversarial reader of a result is whoever you send it to — a collaborator, a referee, or a second agent. So of course they find something. Nothing upstream of them ever tested the claim against a hostile reading.
This skill inserts that hostile read before the claim leaves the session.
When to invoke
Mandatory before any of these exists for a piece of work: a summary to the user, a commit
message, a CHANGELOG.md row, a workbook section, a message to another agent. Also invoke when
adjudicating someone else's result, and whenever you are about to write the words proved,
derived, constructed, canonical, unique, complete, exactly, every, all orders,
or resolves.
Order of operations: script passes → claim-audit → prose. Never prose first.
Step 0 — mechanical pre-filter
bash .claude/skills/claim-audit/gate_audit.sh <script>
It reports four things: hand-assigned values, label-budget violations, advocacy language in labels, and bodies whose shape may be true for every input. It is a pre-filter, not a verdict — it cannot read mathematics. A clean run means no cheap tell fired, never that the labels are honest. Steps 1–3 are the actual audit and are not optional when step 0 is quiet.
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.
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.
- 7d ago First seen · 167 lines · 75 tokens per session scan A 1b194e60ca0e
claim-audit is a skill published in the GitHub repository Mexregkan/claude-for-researchers (52 stars, last pushed 9d ago), licensed MIT. It adds 75 tokens to every session and 2,231 once invoked, about $0.0004 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 2026-09-05.
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