Borrowing it
Nothing to install: this file belongs to omar-A-hassan/medsci-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/omar-A-hassan/medsci-agent/main/.opencode/skills/uniprot/SKILL.mdgit clone --depth 1 https://github.com/omar-A-hassan/medsci-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/omar-a-hassan/medsci-agent/uniprot)<a href="https://agentmods.dev/skills/omar-a-hassan/medsci-agent/uniprot"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/uniprot/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/omar-a-hassan/medsci-agent/uniprot"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/uniprot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.00462 |
| Opus 5 | $0.00009 | $0.00231 |
| Sonnet 5 | $0.00004 | $0.00092 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
uniprot scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
r = requests.get("https://rest.uniprot.org/uniprotkb/P04637.json") What it actually says
UniProt Protein Database
Overview
UniProt is the comprehensive resource for protein sequence and functional annotation. UniProtKB has two sections: Swiss-Prot (reviewed, curated) and TrEMBL (unreviewed, automated).
REST API Access
import requests
# Fetch a single entry
r = requests.get("https://rest.uniprot.org/uniprotkb/P04637.json")
entry = r.json()
print(entry["proteinDescription"]["recommendedName"]["fullName"]["value"])
Search Queries
params = {
"query": "(gene:TP53) AND (organism_id:9606) AND (reviewed:true)",
"format": "json",
"size": 10,
"fields": "accession,gene_names,protein_name,organism_name,length"
}
r = requests.get("https://rest.uniprot.org/uniprotkb/search", params=params)
results = r.json()["results"]
Key Fields
- accession: Primary identifier (e.g., P04637 for human TP53).
- gene_names: Associated gene symbols.
- features: Domains, active sites, variants, PTMs.
- cross-references: Links to PDB, Pfam, GO, ChEMBL, etc.
- sequence: Full amino acid sequence.
Common Query Syntax
gene:BRCA1-- by gene name.organism_id:9606-- human.reviewed:true-- Swiss-Prot only.ec:3.4.21.*-- by enzyme classification.keyword:kinase-- by keyword annotation.
Key Details
- Accession format: [OPQ][0-9][A-Z0-9]{3}[0-9] (e.g., P04637).
- Batch retrieval: POST to
/uniprotkb/accessionswith list of IDs. - ID mapping:
https://rest.uniprot.org/idmapping/runfor cross-database mapping.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 51 lines · 18 tokens per session scan A 94f76039d428
uniprot is a skill published in the GitHub repository omar-A-hassan/medsci-agent (18 stars, last pushed 4d ago), licensed MIT. It adds 18 tokens to every session and 462 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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