alphafold2 SKILL.md skillA
alphafold2 from yichen-zju/claude-for-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yichen-zju/claude-for-research/alphafold2@git:20260930.9b33ccfPins git:20260930.9b33ccf in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yichen-zju/claude-for-research
- Path
skills/alphafold2/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260930.9b33ccf, committed Sep 30, 2026
- Size
- 1,301 bytes
- Repository stars
- 10
- License
- none declared
Predict or audit protein structures with AlphaFold2-style workflows. Use when a research task needs monomer/multimer structure prediction, MSA/template handling, confidence metrics, or comparison against PDB/AlphaFold references.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AlphaFold2 Use this skill for protein-structure prediction or parity checks around AlphaFold2-style outputs. Workflow: 1. Capture the biological question, sequence identifiers, FASTA input, oligomer state, organism, and expected cofactors or partners. 2. Verify the execution route before running: local install, managed endpoint, Modal/SSH job, or a documented public source. Do not assume weights, databases, or GPUs exist. 3. Save inputs, command or endpoint payload, model settings, stdout/stderr, and raw outputs under the active artifact folder (`outputs/` or `papers/`). 4. Report pLDDT, PAE, ranking confidence, chain coverage, truncation, templates/MSA provenance, and any residues or interfaces that should not be trusted. 5. Compare against known structures or AlphaFold DB records when the claim depends on novelty, domain movement, interface geometry, or mutation impact. Outputs should include the FASTA, predicted PDB/mmCIF, confidence files when available, a short method note, and a `.provenance.md` sidecar.
Read the whole file at its exact version.
How to install
mdr add yichen-zju/claude-for-research/alphafold2@sha256:a3cc3315a7132fd5The line at the top of this page pins the label git:20260930.9b33ccf, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_6chcovxo2hgkejat)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 30, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1301 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
yichen-zju/claude-for-research · 10 stars · license none declared · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6chcovxo2hgkejat GET https://markdownregistry.com/api/v1/resolve?ref=yichen-zju/claude-for-research/alphafold2 GET https://markdownregistry.com/api/v1/blob/a3cc3315a7132fd5ae44b522af2ba123f8a288f5d78b216f588d9e80ccf55017
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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