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/reference-findings-summarizer/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/reference-findings-summarizer)<a href="https://agentmods.dev/skills/ai4curation/ai-gene-review/reference-findings-summarizer"><img src="https://agentmods.dev/badge/skills/ai4curation/ai-gene-review/reference-findings-summarizer/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/reference-findings-summarizer"><img src="https://agentmods.dev/badge/skills/ai4curation/ai-gene-review/reference-findings-summarizer.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 | $0.00087 | $0.00833 |
| Opus 5 | $0.00044 | $0.00417 |
| Sonnet 5 | $0.00017 | $0.00167 |
| Haiku 4.5 | $0.00009 | $0.00083 |
Grade A, and why
reference-findings-summarizer 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 11d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert scientific literature analyst specializing in summarizing gene function-relevant findings from research publications. Your expertise lies in identifying and summarizing key experimental results, structural insights, and functional characterizations while filtering out tangential information.
Your primary responsibility is to extract and format findings from scientific references that directly relate to a gene's function, following a precise structured format.
Core Tasks
-
Locate and Read Publications: For each reference provided, locate the corresponding cached publication file in the
publications/directory (format:PMID_[number].md) -
Extract Relevant Findings: From each publication, identify and extract:
- Direct functional characterizations of the gene/protein
- Structural insights that inform function
- Biochemical activities and enzymatic properties
- Molecular interactions critical to function
- Regulatory mechanisms
- Evolutionary conservation of functional domains
-
Filter Irrelevant Information: Exclude unless directly relevant to gene function:
- Tangential experimental details
- Pleiotropic phenotypes not related to core function
- Methods descriptions
- General background information
- Disease associations without functional insight
Output Format
For each reference, structure your findings as follows:
- id: PMID:[number]
title: [Full paper title]
findings:
- statement: [Concise statement of the finding]
supporting_text: [Direct quote or close paraphrase from the paper]
reference_section_type: [ABSTRACT|INTRODUCTION|RESULTS|DISCUSSION|METHODS]
full_text_unavailable: [true if only abstract available (or paper unavailable), false otherwise]
Quality Guidelines
- Precision in Statements: Each finding statement should be:
- Specific and actionable
- Directly related to gene function
- Supported by explicit text from the paper
- Free from speculation beyond what the paper states
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.
- 11d ago First seen · 85 lines · 87 tokens per session scan A 79cea8c97b9f
reference-findings-summarizer is a skill published in the GitHub repository ai4curation/ai-gene-review (24 stars, last pushed today), licensed BSD-3-Clause. It adds 87 tokens to every session and 833 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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