bio-structure-annotation SKILL.md skillA
bio-structure-annotation from fmschulz/omics-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fmschulz/omics-skills/bio-structure-annotation@git:20261001.bf5afd6Pins git:20261001.bf5afd6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fmschulz/omics-skills
- Path
skills/bio-structure-annotation/SKILL.md- Versions recorded
- 6
- Latest version
- git:20261001.bf5afd6, committed Oct 1, 2026
- First version recorded
- May 29, 2026
- Size
- 4,361 bytes
- Repository stars
- 11
- License
- MIT
Predict protein or complex structures and find structural homologs. Use when sequence search gives weak or no hits, or when a fold, complex model, or prediction confidence is needed.
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
# Bio Structure Annotation Structure prediction and structure-based annotation. ## Instructions Tool guides and versions: [docs/README.md](docs/README.md). 1. Run a fast embedding screen with TM-Vec to triage candidate proteins by remote homology before incurring structure-prediction cost. 2. Predict structures on a GPU node through `sbatch`. AlphaFold3 is not part of this stack (non-commercial license, large VRAM footprint). Use: - **Boltz-2** (MIT license, CUDA) as the default predictor for monomers, complexes, and protein-ligand binding affinity. - **ColabFold** v1.5.5+ with an **MMseqs2-GPU** MSA backend when a deeper MSA than Boltz-2 builds is required. Kallenborn et al. (2025) *Nature Methods* https://doi.org/10.1038/s41592-025-02819-8 report that MMseqs2-GPU makes ColabFold prediction 31.8× faster than the standard AlphaFold2 pipeline. - **ESMFold** for fast monomer pre-screening only; route candidates to Boltz-2 for final models. …
Read the whole file at its exact version.
How to install
mdr add fmschulz/omics-skills/bio-structure-annotation@sha256:836f519e50a644bfThe line at the top of this page pins the label git:20261001.bf5afd6, 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_t5ksxndgzynlaxyl)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between May 29, 2026 and Oct 1, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261001.bf5afd6 latest | 2026-10-01 | bf5afd6 | 4,361 B | A | view · diff |
| git:20260905.3e49039 | 2026-09-05 | 3e49039 | 3,334 B | A | view · diff |
| git:20260825.978bb0a | 2026-08-25 | 978bb0a | 3,128 B | A | view · diff |
| git:20260712.3675171 | 2026-07-12 | 3675171 | 3,692 B | A | view · diff |
| git:20260711.5ae6f6f | 2026-07-11 | 5ae6f6f | 3,197 B | A | view · diff |
| git:20260529.7fc0335 | 2026-05-29 | 7fc0335 | 3,078 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 (4361 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
fmschulz/omics-skills · 11 stars · license MIT · pushed 2026-10-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_t5ksxndgzynlaxyl GET https://markdownregistry.com/api/v1/resolve?ref=fmschulz/omics-skills/bio-structure-annotation GET https://markdownregistry.com/api/v1/blob/836f519e50a644bff1300b8326c7644cb08bb8ae2720d6e745576e8b028e3651
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.