Agent skill · Audited from source
Uniprot Access
skill · GPTomics/bioSkillsMIT licenceAudited 19 Oct 2026 · source c8c1fc3a2b13
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit c8c1fc3a2b13 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Query UniProt's REST API (post-2022 endpoint at rest.uniprot.org) for protein sequences, annotations, GO terms, cross-references, ID mappings, and proteomes. Use when fetching UniProtKB entries, navigating the JSON…
Cite
Cite this page
ModelsAtlas. “Uniprot Access (GPTomics/bioSkills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/gptomics/uniprot-access
Trust audit
Audit 0.4.1 · source read 19 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | PASS | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha c8c1fc3a2b13 · 19 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- PublisherGPTomics GitHub organizationOwner of the repository this skill is read from
- Source folderGPTomics/bioSkills/database-access/uniprot-accessThe exact folder we audited
- LicenceMITAs the repository states it
- Commit pinned for this verdictc8c1fc3a2b13A new audit runs when the source changes
- Repository statusArchivedLast push 65 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Query UniProt's REST API (post-2022 endpoint at rest.uniprot.org) for protein sequences, annotations, GO terms, cross-references, ID mappings, and proteomes. Use when fetching UniProtKB entries, navigating the JSON…
---
name: bio-uniprot-access
description: Query UniProt's REST API (post-2022 endpoint at rest.uniprot.org) for protein sequences, annotations, GO terms, cross-references, ID mappings, and proteomes. Use when fetching UniProtKB entries, navigating the JSON schema, choosing between UniProtKB/UniRef/UniParc/Proteomes resources, deciding stream vs search endpoint for batch retrieval, running ID-mapping jobs with the async pattern, handling isoform suffixes, or filtering reviewed Swiss-Prot vs auto-annotated TrEMBL. Encodes the legacy URL migration (2022), the new JSON schema layout, and bulk-pull patterns.
tool_type: python
primary_tool: requests
---
## Version Compatibility
Reference examples tested with: requests 2.31+, pandas 2.2+; UniProt REST API as of 2024_06 release
Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show requests pandas`
- API surface: confirm endpoint URLs match https://www.uniprot.org/help/api
The REST API JSON schema is stable within a release; major schema changes are documented at https://www.uniprot.org/release-notes. The 2022 migration broke the legacy `https://www.uniprot.org/uniprot/...` endpoints.
# UniProt Access
**"Get protein information from UniProt"** -> Two facts dominate every UniProt workflow in 2026: (1) **the API endpoint migrated in 2022** from `https://www.uniprot.org/uniprot/...` to `https://rest.uniprot.org/uniprotkb/...` with a substantially different JSON schema; pre-2022 code does not work as-is. (2) **`?fields=`** is essential — default JSON returns the full entry (~20-30 KB each); for bulk pulls, request only the fields actually needed.
The major databases under the UniProt umbrella have different scopes:
- **UniProtKB**: the curated knowledgebase — Swiss-Prot (manually reviewed, ~570K entries as of 2024) + TrEMBL (auto-annotated, ~250M). Always specify `reviewed:true` for high-quality reference work.
- **UniRef**: clustered sequences at 100%, 90%, 50% identity. UniRef50 is the standard for redundancy reduction.
- **UniParc**: archival "every unique sequence ever seen" — for provenance and historical lookup.
- **Proteomes**: organism-level groupings; reference proteomes (one per species) are the canonical subset.
- Python: `requests.get('https://rest.uniprot.org/uniprotkb/...')` (REST API)
- Python: `Bio.ExPASy.get_sprot_raw()` (BioPython; legacy SwissProt format)
- CLI: `curl https://rest.uniprot.org/uniprotkb/P04637.json`
## Required Setup
```python
import requests
import pandas as pd
import time
```
No API key required. Rate limit is generous (~200 req/sec tolerated empirically); ID-mapping has its own job queue.
## Endpoint reference
Base: `https://rest.uniprot.org/`
| Resource | Endpoint | Use |
|---|---|---|
| Single entry | `/uniprotkb/{accession}` | One protein record |
| Search | `/uniprotkb/search` | Query with up to 500 results per page |
| Stream | `/uniprotkb/stream` | No 500-result limit; for bulk |
| Batch by accession | `/uniprotkb/accessions` | Multiple specific accessions |
| ID Mapping (run) | `/idmapping/run` | Submit conversion job |
| ID Mapping (status) | `/idmapping/status/{jobId}` | Poll |
| ID Mapping (results) | `/idmapping/results/{jobId}` | Retrieve |
| UniRef entry | `/uniref/{cluster_id}` | One cluster |
| UniRef search | `/uniref/search` | UniRef cluster queries |
| Proteome | `/proteomes/{upid}` | Organism proteome |
| Proteome FASTA | `/proteomes/{upid}.fasta.gz` | Download whole proteome |
| Taxonomy | `/taxonomy/{taxid}` | Taxonomy info |
Append `.json`, `.fasta`, `.tsv`, `.xml`, `.txt`, or `.gff` to single-entry URLs to control format.
## Search query syntax
UniProt search queries use a Lucene-like syntax distinct from Entrez:
| Query | Means |
|---|---|
| `gene:TP53` | Gene name TP53 |
| `gene_exact:TP53` | Exact gene name (no wildcard match) |
| `organism_id:9606` | Human (NCBI taxonomy ID) |
| `organism_name:"Homo sapiens"` | By name (slower than taxid) |
| `reviewed:true` | Swiss-Prot only |
| `reviewed:false` | TrEMBL only |
| `length:[100 TO 500]` | Sequence length range |
| `go:0006915` | GO term (apoptosis) |
| `keyword:KW-0067` | UniProt keyword |
| `ec:2.7.1.1` | Enzyme classification |
| `database:pdb` | Has PDB cross-ref |
| `xref:pdb` | Same as above |
| `existence:1` | Evidence at protein level (1 = strongest) |
Combine: `organism_id:9606 AND reviewed:true AND keyword:KW-0067 AND xref:pdb`.
## `?fields=` for bulk pulls
Default JSON entry is ~20-30 KB. For batch work, restrict fields:
```python
fields = 'accession,id,gene_names,protein_name,length,sequence,xref_pdb,xref_alphafolddb'
url = 'https://rest.uniprot.org/uniprotkb/search'
params = {'query': 'organism_id:9606 AND reviewed:true', 'fields': fields, 'format': 'tsv', 'size': 500}
```
Common field selectors:
| Field | Returns |
|---|---|
| `accession`, `id` | Primary accession (P04637), entry name (P53_HUMAN) |
| `gene_names` | All gene names |
| `gene_primary` | Primary gene name only |
| `protein_name` | Recommended name |
| `organism_name`, `organism_id` | Species |
| `length`, `mass` | Sequence stats |
| `sequence` | The actual sequence |
| `cc_function`, `cc_subcellular_location` | Function and localization comments |
| `ft_domain`, `ft_binding`, `ft_active_site` | Domain/site features |
| `go_p`, `go_c`, `go_f` | GO biological process / cellular component / molecular function |
| `xref_pdb`, `xref_alphafolddb`, `xref_ensembl`, `xref_refseq` | Cross-references |
| `keyword` | UniProt keywords |
| `ec` | Enzyme classification |
| `reviewed` | Swiss-Prot vs TrEMBL flag |
| `cc_alternative_products` | Isoforms |
## Stream vs search vs accessions
| Endpoint | When | Limit |
|---|---|---|
| `/uniprotkb/{acc}` | One accession | 1 entry |
| `/uniprotkb/accessions?accessions=...` | Several known accessions | Up to ~100 per call |
| `/uniprotkb/search?query=...` | Query-driven; need pagination | 500 results per page; `cursor=` for paging |
| `/uniprotkb/stream?query=...Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit c8c1fc3
pip install requests pandas
git clone https://github.com/GPTomics/bioSkills git -C bioSkills checkout c8c1fc3a2b13
Commands as the repository documents them: shown, never run by us. Our verdict covers commit c8c1fc3a2b13 only.
Works in which agents?
What its own text says, not a test
| Agent | Status | More |
|---|---|---|
| Cursor | Mentioned in its text, not tested | Skills for Cursor · About Cursor |
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
c8c1fc3a2b13
README badge
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[](https://modelsatlas.com/skills/gptomics/uniprot-access/)
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Sources
- github.com/GPTomics/bioSkills/tree/main/database-access/uniprot- — the audited source at commit c8c1fc3a2b13 and every finding aboveObserved · 19 Oct 2026
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