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.
npx skills add CHENyiru3/AI-Skills-Collections --skill critique-bio-manuscriptgit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/critique-bio-manuscript)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/critique-bio-manuscript"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/critique-bio-manuscript/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/chenyiru3/ai-skills-collections/critique-bio-manuscript"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/critique-bio-manuscript.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 | $0.00033 | $0.00285 |
| Opus 5.5 | $0.00013 | $0.00114 |
| Sonnet 5.5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
critique-bio-manuscript 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 6d 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.
What it actually says
Bioinformatics Peer Review Assistant
I am acting as a peer reviewer for the manuscript provided in $ARGUMENTS. Your task is to assist me in critiquing the methodology and results. You are NOT writing the paper; you are tearing it down constructively.
Evaluate the manuscript against the following strict criteria and generate a markdown report:
- Baseline Comparisons: Does the manuscript compare its novel method against the current state-of-the-art benchmarks? Flag if it only compares against outdated models.
- Data Leakage: Critically examine the train/test splits. Is there any evidence that spatial coordinates or highly correlated single-cell profiles leaked across the training boundary?
- Biological Validation: Does the paper rely solely on in silico metrics (like AUROC or RMSE), or does it validate the findings against known biological ground truths (e.g., known TCR binding affinities, established regulatory pathways)?
- Limitations: Did the authors adequately address the limitations of their approach?
Format the output as a formal reviewer critique: Major Comments (methodological flaws) and Minor Comments (typos, graph formatting).
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.
- 6d ago First seen · 20 lines · 33 tokens per session scan A 0869e91f1e7f
critique-bio-manuscript is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 33 tokens to every session and 285 once invoked, about $0.0001 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 2026-10-02.
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