Borrowing it
Nothing to install: this file belongs to ai4curation/ai-gene-review. 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/ai4curation/ai-gene-review/main/.claude/skills/aigr-pr-review/SKILL.mdgit clone --depth 1 https://github.com/ai4curation/ai-gene-reviewWrote 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/ai4curation/ai-gene-review/aigr-pr-review)<a href="https://agentmods.dev/skills/ai4curation/ai-gene-review/aigr-pr-review"><img src="https://agentmods.dev/badge/skills/ai4curation/ai-gene-review/aigr-pr-review/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/ai4curation/ai-gene-review/aigr-pr-review"><img src="https://agentmods.dev/badge/skills/ai4curation/ai-gene-review/aigr-pr-review.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 | $0.00050 | $0.01326 |
| Opus 5.5 | $0.00020 | $0.00530 |
| Sonnet 5.5 | $0.00010 | $0.00265 |
| Haiku 4.5 | $0.00005 | $0.00133 |
Grade A, and why
aigr-pr-review 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIGR PR Review Skill
Use this skill when reviewing AIGR pull requests or drafting review feedback about gene review YAML, GO annotation decisions, evidence support, or UniProt-backed summaries.
Use the repository's existing guidance and agents where appropriate, especially
CLAUDE.md and .claude/agents/annotation-reviewer.md.
Trust Validation
Do not re-check what just validate already covers.
If validation passes, do not spend review effort on:
- YAML formatting or whitespace
- Empty or null optional keys
- Required-vs-optional field presence
- Enum spelling, structural schema shape, or other deterministic validation concerns
The reviewer's job is the non-deterministic part: biological judgment, GO ontology judgment, evidence quality, and whether the curation narrative is coherent.
Focus Areas
- GO term specificity and aspect correctness
- Prefer the most accurate GO term supported by the evidence, not the nearest generic match.
- Flag terms that are too broad, too narrow, or placed in the wrong GO aspect.
- For generic protein binding, follow the action policy in the annotation-reviewer skill.
- If recommending
MODIFY, provide the concrete replacement term(s) with GO IDs.
- Evidence quality
- Each annotation review should be supported by accessible evidence.
- Check that cited PMIDs, GO references, file references, and supporting text actually justify the claimed action.
- Do not accept unsupported
NEWannotations. - For a
NEWprocess term, check participation, not just evidence: does the gene product do any of the work — catalyse a step, or contribute the structure or cofactor activity a step depends on — or is it merely required for the process, consumed by it, or the thing it acts on? Knockout/rescue and human loss-of-function data establish necessity, which is what being a substrate means, and do not settle this. A substrate that scaffolds or catalyses part of its own conversion can legitimately carry the term (CLAUDE.md works thyroglobulin, fibrinogen and C3 through the three cases). - Treat "every other participant carries this term and this gene does not" as a red
flag rather than a justification. Ask for the comparator check — two or three other
gene products in the same role relative to the same kind of process — and check the
term's parents (a process under
GO:0006508 proteolysisnames whatever does the cleaving, which is the substrate itself in the autoprocessing case,GO:0016540, and otherwise is not) and the cached GO-CAMs, which often already contain the gene in the role GO intends for it. - Flag a proposed term that is an ancestor or descendant of another proposed term, or of one the gene already carries, as redundant rather than additional.
- If the relevant publication or evidence cannot be accessed, prefer
UNDECIDED.
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 Changed · +16 lines 4e3c228c4667
- 1mo ago Changed · +1 lines de9256a6f465
- 1mo ago First seen · 94 lines · 50 tokens per session scan A e3aeaeb1c3c2
aigr-pr-review is a skill published in the GitHub repository ai4curation/ai-gene-review (24 stars, last pushed today), licensed BSD-3-Clause. It adds 50 tokens to every session and 1,326 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 2026-08-30.
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