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ai4science-studio: Skill for Cursor

.cursor/skills/ai4science-protein-folding/SKILL.md

ai4science-protein-folding is a skill for Cursor from AMDResearch/ai4science-studio. It costs 32 tokens per session (300 once invoked), scanned A, original, MIT.

A set of instructions for protein structure prediction, protein folding, and protein language models used in structural biology.

In plain words
What is it for?
Use it when adding or documenting protein-folding models and recipes. It guides demonstrations with public or synthetic data and covers structural-biology workflows.
Why use it?
It helps keep model licenses, research limits, data privacy, and biosafety concerns visible when working with biological models.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is AMDResearch/ai4science-studio's own configuration. It tells Cursor how to work on ai4science-studio itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai4science-studio configures →

not rated 4repo changed 1mo ago A scan 32 tokens original MIT
View source ↗ AMDResearch/ai4science-studio
Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/AMDResearch/ai4science-studio/main/.cursor/skills/ai4science-protein-folding/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/AMDResearch/ai4science-studio

Made for: Cursor.

Wrote 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.

agentmods badge for ai4science-protein-folding

README.md
[![agentmods](https://agentmods.dev/badge/skills/amdresearch/ai4science-studio/ai4science-protein-folding/github.svg)](https://agentmods.dev/skills/amdresearch/ai4science-studio/ai4science-protein-folding)
Your own site
<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.

agentmods 80×15 button for ai4science-protein-folding

Your own site · 80×15
<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>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 300 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.00300
Opus 5.5 $0.00013 $0.00120
Sonnet 5.5 $0.00006 $0.00060
Haiku 4.5 $0.00003 $0.00030

Measured 1mo ago against content hash e231a3f4e011, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

.cursor/skills/ai4science-protein-folding/SKILL.md · 31 lines

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.

Empty domain

protein_folding/models/ has no model yet. Keep the domain folder. Do not invent a model. Shared layout/ROCm: ai4science-studio/SKILL.md.

Changes

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.

  1. 1mo ago Changed · +4 lines e231a3f4e011
  2. 2mo ago First seen · 27 lines · 32 tokens per session scan A 9a3842925d2c

Subscribe to this mod's changes

ai4science-protein-folding is a skill published in the GitHub repository AMDResearch/ai4science-studio (4 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 300 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 2026-08-31.

Data and AIScientificai-for-scienceamddrug-discoveryearth-sciencefine-tuninghealthcare
Related

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ai4science-protein-foldingAMDResearch/ai4science-studioSkill4yesterdayMITA32Cursor
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loading-openmed-modelsmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A118Claude Code
normalizing-rxnormmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A187Claude Code