alphafold SKILL.md skillA
alphafold 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@git:20260614.5d4591cPins git:20260614.5d4591c 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/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260614.5d4591c, committed Jun 14, 2026
- First version recorded
- May 17, 2026
- Size
- 4,848 bytes
- Repository stars
- 15
- License
- a license file GitHub does not identify
"Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer.
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 Structure Validation ## Prerequisites | Requirement | Minimum | Recommended | |-------------|---------|-------------| | Python | 3.8+ | 3.10 | | CUDA | 11.0+ | 12.0+ | | GPU VRAM | 32GB | 40GB (A100) | | RAM | 32GB | 64GB | | Disk | 100GB | 500GB (for databases) | ## How to run > **First time?** See [Getting started](../../docs/getting-started.md) to set up Modal and biomodals. ### Option 1: Modal (AlphaFold-Multimer) ```bash cd biomodals modal run modal_alphafold.py \ --input-fasta sequences.fasta \ --out-dir output/ ``` **GPU**: A100 (40GB) | **Timeout**: 3600s default ### Option 2: Local installation ```bash git clone https://github.com/google-deepmind/alphafold.git cd alphafold python run_alphafold.py \ --fasta_paths=query.fasta \ --output_dir=output/ \ --model_preset=monomer \ --max_template_date=2026-01-01 ``` ### Option 3: ESMFold2 (fast single-sequence) ```bash printf '>protein|A\nMKTAYIAKQRQISFVK...\n' > seq.faa uv run --with modal modal run modal_esmfold2.py --input-faa seq.faa ``` ## Key parameters | Parameter | Default | Options | Description | |-----------|---------|---------|-------------| …
Read the whole file at its exact version.
How to install
mdr add fridrichmethod/awesome-skills/alphafold@sha256:97a77e8a727b493aThe line at the top of this page pins the label git:20260614.5d4591c, 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_f4qsmlxp5lqtuawx)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between May 17, 2026 and Jun 14, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260614.5d4591c latest | 2026-06-14 | 5d4591c | 4,848 B | A | view · diff |
| git:20260520.f6f8849 | 2026-05-20 | f6f8849 | 4,788 B | A | view · diff |
| git:20260520.7a7a671 | 2026-05-20 | 7a7a671 | 4,790 B | A | view · diff |
| git:20260517.81511a7 | 2026-05-17 | 81511a7 | 4,804 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 (4848 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_f4qsmlxp5lqtuawx GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/alphafold GET https://markdownregistry.com/api/v1/blob/97a77e8a727b493af689984b0f6546a24e0429d0da202a59d0f5f0460859171b
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.