Borrowing it
Nothing to install: this file belongs to AMDResearch/ai4science-studio. 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/AMDResearch/ai4science-studio/main/.cursor/skills/ai4science-protein-folding/SKILL.mdgit clone --depth 1 https://github.com/AMDResearch/ai4science-studioWrote 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/amdresearch/ai4science-studio/ai4science-protein-folding)<a href="https://agentmods.dev/skills/amdresearch/ai4science-studio/ai4science-protein-folding"><img src="https://agentmods.dev/badge/skills/amdresearch/ai4science-studio/ai4science-protein-folding/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/amdresearch/ai4science-studio/ai4science-protein-folding"><img src="https://agentmods.dev/badge/skills/amdresearch/ai4science-studio/ai4science-protein-folding.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 | $0.00032 | $0.00245 |
| Opus 5 | $0.00016 | $0.00122 |
| Sonnet 5 | $0.00006 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
ai4science-protein-folding 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.
What it actually says
Protein folding domain
Scope
The protein_folding/ domain covers protein structure prediction, folding-related models, protein language models, and adjacent open models on Hugging Face used for structural biology workflows.
Layout
- Models:
protein_folding/models/<model-slug>/ - Slug rules:
protein_folding/models/README.md - Structural template reference:
_template/(repo root)
Agent guidance
- Respect model and dataset licenses (research-only, non-commercial, etc.) and surface them in the model
README.md. - Avoid implying clinical or diagnostic use unless the upstream model is explicitly cleared for that (most are not).
- Recipes should use public structures or synthetic examples for demonstrations; do not embed confidential sequence data.
Ethics
- When discussing pathogens or dual-use contexts, stay aligned with upstream policy and general biosafety norms; do not help circumvent stated restrictions.
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 · 27 lines · 32 tokens per session scan A 9a3842925d2c
ai4science-protein-folding is a skill published in the GitHub repository AMDResearch/ai4science-studio (4 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 245 once invoked, about $0.0002 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 2026-08-31.
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