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.
git clone --depth 1 https://github.com/MannLabs/proteomics-agent-skillsWrote 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/plugins/mannlabs/proteomics-agent-skills/proteomics)<a href="https://agentmods.dev/plugins/mannlabs/proteomics-agent-skills/proteomics"><img src="https://agentmods.dev/badge/plugins/mannlabs/proteomics-agent-skills/proteomics/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/plugins/mannlabs/proteomics-agent-skills/proteomics"><img src="https://agentmods.dev/badge/plugins/mannlabs/proteomics-agent-skills/proteomics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
proteomics 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.
What it actually says
{
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json",
"name": "proteomics",
"version": "0.1.0",
"description": "Transform proteomics search-engine output tables into high-confidence biological insights using best practices: data reading, quality control, normalization, imputation, batch-effect correction, differential expression analysis, and biological interpretation.",
"author": {
"name": "MannLabs",
"url": "https://github.com/MannLabs"
},
"homepage": "https://github.com/MannLabs/proteomics-agent-skills",
"repository": "https://github.com/MannLabs/proteomics-agent-skills",
"license": "Apache-2.0",
"keywords": ["proteomics", "mass-spectrometry", "bioinformatics", "omics", "skills"]
}
What it installs
The manifest is a name and a version. 11 skills travel with it, and installing the plugin installs all of them — 689 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill interpreting-biological-results A 75 tokens
- Skill using-proteomics-skills A 69 tokens
- Skill analyzing-proteomics-data A 106 tokens
- Skill applying-code-standards A 41 tokens
- Skill correcting-proteomics-batch-effects A 66 tokens
- Skill formulating-biological-findings A 30 tokens
- Skill imputing-proteomics-data A 78 tokens
- Skill normalizing-proteomics-data A 54 tokens
- Skill performing-statistical-analysis A 51 tokens
- Skill performing-proteomics-quality-control A 58 tokens
- Skill reading-proteomics-data A 61 tokens
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 First seen · 15 lines scan A 2eb91aa3b4f8
proteomics is a plugin published in the GitHub repository MannLabs/proteomics-agent-skills (16 stars, last pushed 4d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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