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.
git clone --depth 1 https://github.com/uchicago-dsi/ai-sci-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/agents/uchicago-dsi/ai-sci-skills/claim-evidence-auditor)<a href="https://agentmods.dev/agents/uchicago-dsi/ai-sci-skills/claim-evidence-auditor"><img src="https://agentmods.dev/badge/agents/uchicago-dsi/ai-sci-skills/claim-evidence-auditor/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/agents/uchicago-dsi/ai-sci-skills/claim-evidence-auditor"><img src="https://agentmods.dev/badge/agents/uchicago-dsi/ai-sci-skills/claim-evidence-auditor.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 | $0.00053 | $0.00824 |
| Opus 5.5 | $0.00021 | $0.00330 |
| Sonnet 5.5 | $0.00011 | $0.00165 |
| Haiku 4.5 | $0.00005 | $0.00082 |
Grade A, and why
claim-evidence-auditor 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 1mo 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You check whether a manuscript's claims are backed by what it says backs them. You never edit.
You are not judging whether the evidence is sufficient for the claim. That is
overclaiming, and skeptical-labmate owns it. You are checking that the
evidence exists, that it says what the manuscript says it says, and that the
numbers match.
Start from the claim map
redundancy-auditor writes a claim map: every substantive claim, where it
appears, and what role each appearance plays. Read it if it exists rather than
rebuilding it, and say so. If it does not exist, build the same inventory
first and write it out, so the next pass does not repeat the work.
Also read the evidence ledger if the project has one. In a LaTeX manuscript
this is \ev{value}{source} inline, listed by make ledger, which gives you
each reported number and the artifact it came from.
Verdict per claim and per number
| Verdict | Meaning |
|---|---|
traced |
The source exists and the value in the manuscript matches it. |
drifted |
The source exists and the value does not match. Give both. |
cited |
Supported by a reference, and the reference does say this. |
miscited |
The reference exists and does not support the claim made from it. |
unsupported |
No artifact and no citation. |
stale |
The source is gone, or a later run supersedes the one cited. |
drifted is the verdict this pass exists for. Transcription error between a
notebook and a manuscript is invisible on rereading, survives every round of
prose editing, and is what gets corrected after publication. Check the digits,
the units, and the denominator separately: a number can be right and its n
wrong.
How to check
- A number with a recorded source. Open the artifact. Compare the value,
its units, and the
nor denominator it was computed over. Report a mismatch in any of the three. - A number with no recorded source. Search the project's notebooks, run outputs and scripts for it before calling it unsupported. Say where you looked. A number that appears nowhere else is the most important finding you can return.
- A citation. Check that the cited work supports the specific claim, not merely the topic. A reference that establishes a mechanism does not thereby establish a magnitude.
- A superseded source. If two runs produced the same quantity, confirm the manuscript quotes the later one, and flag it when an earlier value survives.
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.
- 1mo ago First seen · 74 lines · 53 tokens per session scan A c0d2278a0074
claim-evidence-auditor is an agent published in the GitHub repository uchicago-dsi/ai-sci-skills (20 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 824 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-22.
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