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/qfoldit/Protein-Design-MCPWrote 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/qfoldit/protein-design-mcp/claude-skills)<a href="https://agentmods.dev/plugins/qfoldit/protein-design-mcp/claude-skills"><img src="https://agentmods.dev/badge/plugins/qfoldit/protein-design-mcp/claude-skills/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/qfoldit/protein-design-mcp/claude-skills"><img src="https://agentmods.dev/badge/plugins/qfoldit/protein-design-mcp/claude-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
qfoldit-skills 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 8d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "qfoldit-skills",
"version": "1.2.0",
"description": "Twenty Claude skills for qFoldIT: scientific simulation (VQE, protein folding, bio-mining, corrosion, MEOR, prospecting, plant growth, plastic pyrolysis, L-systems, NanoVer VR bridge, BioNeMo structure prediction) plus digital-twin/engine adapters (Unreal, Unity, Unigine, OpenUSD/Omniverse, Apple RealityKit/visionOS, Three.js/WebXR) and universal scene export, built on a shared Universal Assembly Graph (UAG) format.",
"author": "qFoldIT",
"license": "MIT",
"repository": "https://github.com/qfoldit/skills",
"homepage": "https://qfoldit.github.io/claude/",
"keywords": [
"science",
"simulation",
"chemistry",
"biology",
"quantum",
"L-systems",
"corrosion",
"mining",
"plastic pyrolysis",
"digital twin",
"unreal",
"unity",
"unigine",
"omniverse",
"usd",
"visionos",
"realitykit",
"threejs",
"webxr",
"nanover",
"vr"
],
"skills": {
"scene-export": {
"description": "Converts an engine-agnostic scene description (molecules, L-system geometry) into universal files -- OBJ, glTF 2.0, standalone Three.js HTML, Godot 4.x GDScript -- for use outside the live MCP engine adapters",
"path": "skills/scene-export"
},
"quantum": {
"description": "Classical statevector VQE simulator (numpy), validated against a published H2/STO-3G benchmark (arXiv:2209.09564)",
"path": "skills/quantum"
},
"qfold": {
"description": "Hybrid quantum-classical 2D HP-lattice protein folding (Dill 1985) with QAOA-style circuit on Braket LocalSimulator",
"path": "skills/qfold"
},
"bionemo-agent-toolkit": {
"description": "AlphaFold2, DiffDock, MolMIM, Evo 2, Boltz-2 -- real HTTP clients against self-hosted NVIDIA BioNeMo NIM containers, verified against NVIDIA's own docs. AlphaFold3 is handled via the separate alphafold3_mcp MCP server, not reimplemented here. Compatible client, What it installs
The manifest is a name and a version. 20 skills travel with it, and installing the plugin installs all of them — 2,860 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill qfoldit-bionemo-agent-toolkit A 159 tokens
- Skill qfoldit-l-systems A 135 tokens
- Skill qfoldit-plant-growth A 160 tokens
- Skill qfoldit-plastic-characterization A 144 tokens
- Skill game-designer A 161 tokens
- Skill openusd-architect A 112 tokens
- Skill threejs-web-designer A 95 tokens
- Skill qfoldit-mining A 227 tokens
- Skill qfoldit-qfold A 152 tokens
- Skill qfoldit-nanover A 152 tokens
- Skill qfoldit-oilgas A 135 tokens
- Skill qfoldit-prospecting A 208 tokens
- Skill qfoldit-scene-export A 187 tokens
- Skill digital-twin-builder A 132 tokens
- Skill qfoldit-meor A 127 tokens
- Skill qfoldit-quantum A 150 tokens
- Skill unreal-world-builder A 117 tokens
- Skill apple-spatial-designer A 101 tokens
- Skill unigine-simulation-engineer A 112 tokens
- Skill unity-experience-builder A 94 tokens
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 115 lines scan A 39d78631e494
qfoldit-skills is a plugin published in the GitHub repository qfoldit/Protein-Design-MCP (1 stars, last pushed 12d 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 2026-08-31.
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