Uniprot Database
ListedAccess and query UniProt protein sequence and annotation data via aminoanalytica's specialized database skill.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aminoanalytica/amina-skills --skill uniprot-database -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aminoanalytica
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: rest.uniprot.org.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
rest.uniprot.orgundeclaredWhat it found (3 of 9)
- skills/uniprot-database/SKILL.md:27contacts rest.uniprot.org
resp = requests.get("https://rest.uniprot.org/uniprotkb/P53_HUMAN.json") - skills/uniprot-database/SKILL.md:132contacts rest.uniprot.org
resp = requests.get("https://rest.uniprot.org/uniprotkb/search", params=params) - skills/uniprot-database/references/api-reference.md:355contacts rest.uniprot.org
resp = requests.get("https://rest.uniprot.org/configure/uniprotkb/result-fields")
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned aminoanalytica/amina-skills at e0ff001af3.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e0ff001af3
- Manifest
- skills/uniprot-database/SKILL.md
- Scanned
- 2 files, 1,077 lines
About this skill
What it does
This skill provides access to the UniProt database, a comprehensive resource for protein sequence and annotation data. It allows AI agents to retrieve information about proteins, including their sequences, functions, domains, and interactions. The skill enables querying of this vast dataset for research, analysis, or application-specific needs.
When to use it
- Protein identification: Determine the identity of a protein based on its sequence.
- Functional annotation: Discover the biological function of a protein.
- Research support: Gather data for scientific studies related to proteins and genomics.
- Drug discovery: Identify potential drug targets by analyzing protein characteristics.
Key capabilities
- Access to UniProtKB/Swiss-Prot and UniProtKB/TrEMBL databases.
- Protein sequence retrieval.
- Functional annotation lookup.
- Domain identification.
Example prompts
- "What is the function of the protein P01013?"
- "Retrieve the amino acid sequence for Q9Y267."
- "List all proteins with 'kinase' activity in UniProt."
Tips & gotchas
The skill relies on accurate UniProt accession numbers (e.g., P01013, Q9Y267) for effective queries. Familiarity with protein nomenclature and UniProt database structure will improve results.