Borrowing it
Nothing to install: this file belongs to arthjean/rust-doctor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/arthjean/rust-doctor/main/.claude/skills/corpus-adjudicate/SKILL.mdgit clone --depth 1 https://github.com/arthjean/rust-doctorWrote 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/arthjean/rust-doctor/corpus-adjudicate)<a href="https://agentmods.dev/skills/arthjean/rust-doctor/corpus-adjudicate"><img src="https://agentmods.dev/badge/skills/arthjean/rust-doctor/corpus-adjudicate/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/arthjean/rust-doctor/corpus-adjudicate"><img src="https://agentmods.dev/badge/skills/arthjean/rust-doctor/corpus-adjudicate.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 | $0.00079 | $0.04164 |
| Opus 5 | $0.00039 | $0.02082 |
| Sonnet 5 | $0.00016 | $0.00833 |
| Haiku 4.5 | $0.00008 | $0.00416 |
Grade A, and why
corpus-adjudicate 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 — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adjudicate one rule
Admission asks whether a rule fires on the pattern it claims. This asks the
other question, how often it is wrong on healthy code, and it is the question
the published rate answers. adjudication.sampling states plainly that five
sites resolve steps of twenty points and cannot place a rule against the five
percent threshold, so deepening a sample is what turns a published number into
a defensible one.
One word governs the whole run. A verdict reached without opening the code is hearsay: inferred from a neighbouring site, from the rule's reputation, or from the tool's own claim. Hearsay is not a weaker verdict, it is not a verdict, and it never enters the measurement. Everything below exists to keep it out.
Read the "The pinned corpus" and "Admitting a rule" sections of
docs/catalog-and-corpus.md first, and the adjudication.criterion field of tests/corpus.json, which is
the definition every verdict is measured against. Verify the suite is green
before starting, so a failure during the run belongs to this work.
Nothing below asks for a figure to be computed by hand. Every statistic this protocol publishes is recomputed by the suite from the record you write: what this skill has to get right is the record, not the arithmetic over it.
What the harness already enforces
Six invariants hold whatever you do. They catch a corrupted sample, never hearsay, which reads exactly like a real verdict and is yours to keep out:
- The rate is derived, never written.
precision()intests/support/corpus.rscomputes every published rate fromadjudication.reviewedalone, and a test asserts the published field equals the recomputation. - The interval and the separation are derived from the same sample, so a rate that settles nothing against the threshold says so rather than reading like a measurement.
- The agreement of the two passes is derived from
adjudication.agreement.pairsalone: every row ofadjudication.agreement.coefficientsis recomputed by the suite, and a row edited by hand fails naming the rule and the field. - A reviewed site must name a finding the corpus actually produced, at its
published
pathandline, and in its publishedcontext. Both are checked inthe_published_observations_reproduce_the_pinned_corpus_run. (rule, repository, path, line)is unique. A site reviewed twice makes the rule incomplete and withholds its rate.MINIMUM_REVIEWED_SITESis a floor of five, not a ceiling. The only upper bound isreviewed <= findings.
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 · 373 lines · 79 tokens per session scan A 5ff37a7d7f3d
corpus-adjudicate is a skill published in the GitHub repository arthjean/rust-doctor (18 stars, last pushed 5d ago), licensed Apache-2.0. It adds 79 tokens to every session and 4,164 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 2026-08-30.
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