alphafold-database-fetch-and-analyze SKILL.md skillA
alphafold-database-fetch-and-analyze from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fridrichmethod/awesome-skills/alphafold-database-fetch-and-analyze@git:20260705.1380472Pins git:20260705.1380472 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fridrichmethod/awesome-skills
- Path
skills/alphafold_database_fetch_and_analyze/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260705.1380472, committed Jul 5, 2026
- First version recorded
- Jun 10, 2026
- Size
- 4,750 bytes
- Repository stars
- 15
- License
- a license file GitHub does not identify
Retrieve and analyze AlphaFold predicted structures for a protein. Use when the user provides a specific UniProt Accession ID and wants structural confidence metrics (pLDDT), domain boundary analysis, or disorder assessment. Do not use if the user only has a protein name, gene name, or amino acid sequence — ask for a UniProt ID first.
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
# AlphaFold Database: Fetch and Analyze
## Prerequisites
1. **`uv`**: Read the `uv` skill and follow its Setup instructions to ensure
`uv` is installed and on PATH.
2. **User Notification**: If
.licenses/alphafold_database_fetch_and_analyze_LICENSE.txt does not already
exist in the workspace root directory then (1) prominently notify the user
to check the terms at https://alphafold.ebi.ac.uk/, then (2) create the file
recording the notification text and timestamp.
## Overview
Downloads AlphaFold predicted structures (mmCIF) and Predicted Aligned Error
(PAE) matrices from the AlphaFold Database for a given UniProt ID, then performs
automated heuristic analysis on structural confidence (pLDDT), intrinsically
disordered regions, rigid domain boundaries, and inter-domain flexibility.
**Do NOT use when:**
- The user only has a protein name, gene name, or amino acid sequence (no
UniProt ID) — ask them to look up the ID on
[UniProt](https://www.uniprot.org).
- The user wants to search for structural homologs (use **Foldseek**).
- The user wants to run AlphaFold predictions on a custom sequence.
…Read the whole file at its exact version.
How to install
mdr add fridrichmethod/awesome-skills/alphafold-database-fetch-and-analyze@sha256:1c60dedd62350a15The line at the top of this page pins the label git:20260705.1380472, 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_bbhh4kiwlgv2e4oe)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 10, 2026 and Jul 5, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260705.1380472 latest | 2026-07-05 | 1380472 | 4,750 B | A | view · diff |
| git:20260610.57ad09c | 2026-06-10 | 57ad09c | 4,704 B | A | view |
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 (4750 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
fridrichmethod/awesome-skills · 15 stars · license a license file GitHub does not identify · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bbhh4kiwlgv2e4oe GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/alphafold-database-fetch-and-analyze GET https://markdownregistry.com/api/v1/blob/1c60dedd62350a158c876e93e0fb4fbfb5f1c07b618c60b8701a23e8b7c24e25
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.