bioservices-multi-database SKILL.md skillA
bioservices-multi-database from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/bioservices-multi-database@git:20260528.0e69cedPins git:20260528.0e69ced in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/genomics-bioinformatics/databases/bioservices-multi-database/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260528.0e69ced, committed May 28, 2026
- First version recorded
- May 28, 2026
- Size
- 24,477 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Unified Python interface to 40+ bioinformatics web services: UniProt proteins, KEGG pathways, ChEMBL/ChEBI/PubChem, BLAST, cross-database ID mapping, GO annotations, PPI. For deep single-DB queries use dedicated tools (gget for Ensembl, pubchempy for PubChem); bioservices excels at cross-database workflows.
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
# BioServices Multi-Database Access ## Overview BioServices provides a unified Python interface to 40+ bioinformatics web services including UniProt, KEGG, ChEMBL, ChEBI, PubChem, UniChem, PSICQUIC, QuickGO, and BLAST. Each service is accessed through a consistent object-oriented API with built-in caching, rate limiting, and output format handling. ## When to Use - Querying protein information from UniProt (search, retrieve, ID mapping) - Discovering KEGG pathways and extracting gene/interaction networks - Cross-referencing compounds across ChEMBL, ChEBI, PubChem, and KEGG - Running BLAST sequence similarity searches against UniProtKB - Mapping identifiers between biological databases (UniProt, Ensembl, KEGG, RefSeq, PDB) - Retrieving Gene Ontology annotations via QuickGO - Finding protein-protein interactions via PSICQUIC (IntAct, MINT, BioGRID) - Batch converting thousands of biological identifiers with error handling - For single-database deep queries → use gget (Ensembl), pubchempy (PubChem), or chembl-database-bioactivity skill - For pathway visualization → use pathway analysis tools (Cytoscape, NetworkX) after retrieving data with bioservices ## Prerequisites ```bash …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/bioservices-multi-database@sha256:6dbf32887c60f981The line at the top of this page pins the label git:20260528.0e69ced, 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_ptcns57ozmdh5cli)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on May 28, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260528.0e69ced latest | 2026-05-28 | 0e69ced | 24,477 B | A | view · diff |
| git:20260528.3e3f998 | 2026-05-28 | 3e3f998 | 24,441 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 (24477 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
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ptcns57ozmdh5cli GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/bioservices-multi-database GET https://markdownregistry.com/api/v1/blob/6dbf32887c60f981b37e631f9dd010ad73f0b8e5323c53ed9a8196015f948bc9
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.