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 | $0.01009 |
| Opus 5 | $0.00025 | $0.00504 |
| Sonnet 5 | $0.00010 | $0.00202 |
| Haiku 4.5 | $0.00005 | $0.00101 |
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 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 — 94 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.
- Be especially skeptical of vague terms like
protein bindingwhen a more informative MF term is available. - 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. - If the relevant publication or evidence cannot be accessed, prefer
UNDECIDED.
- Core function identification
core_functionsshould capture the gene's main conserved molecular/cellular role.- Do not treat every phenotype, developmental consequence, or systems-level effect as core.
- Use the combination of review YAML, UniProt annotations, deep research, notes, and cited publications to infer what is core vs peripheral.
- Description quality
- The top-level
descriptionshould be a standalone biological summary for a biologist. - Flag project or workflow framing in
description, including phrases such asProteostasis Network,PN,this review,curation,GOA correctly captures, orshould be annotated. - Project-specific observations, disagreements with a project source list, and annotation-propagation cautions belong in
*-notes.md,review.reason,core_functions, orsuggested_questions, not indescription.
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 · 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 1,009 once invoked, about $0.0003 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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