Ena Sequence ApiSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: ena-sequence-api
description: "Access nucleotide sequence data from the European Nucleotide Archive"
metadata:
openclaw:
emoji: "🔬"
category: "domains"
subcategory: "biomedical"
keywords: ["ENA", "nucleotide sequences", "genomics", "EMBL-EBI", "sequencing data", "NGS"]
source: "https://www.ebi.ac.uk/ena/"
---
# European Nucleotide Archive (ENA) API
## Overview
The European Nucleotide Archive (ENA) at EMBL-EBI is one of the three global nucleotide sequence databases (with NCBI GenBank and DDBJ). It provides access to raw sequencing reads, assembled sequences, and functional annotations from all organisms. The API supports accession lookup, text search, and bulk data retrieval. Free, no authentication required.
## API Endpoints
### Portal API (Search)
```bash
# Search for studies
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=CRISPR+cas9&result=study&limit=20&format=json"
# Search for samples
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=human+gut+microbiome&result=sample&limit=20&format=json"
# Search for runs (sequencing data)
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=RNA-seq+cancer&result=read_run&limit=20&format=json"
```
### Browser API (Accession Lookup)
```bash
# Get record by accession
curl "https://www.ebi.ac.uk/ena/browser/api/xml/PRJEB12345"
# Get in JSON format
curl "https://www.ebi.ac.uk/ena/browser/api/summary/PRJEB12345"
# Get sequence in FASTA
curl "https://www.ebi.ac.uk/ena/browser/api/fasta/AF123456"
# Get in EMBL flat file format
curl "https://www.ebi.ac.uk/ena/browser/api/embl/AF123456"
```
### Taxonomy Search
```bash
# Search by organism
curl "https://www.ebi.ac.uk/ena/portal/api/search?query=tax_tree(9606)&result=study&limit=20&format=json"
# Get taxonomy details
curl "https://www.ebi.ac.uk/ena/taxonomy/rest/tax-id/9606"
```
### Result Types
| Type | Description | Example accession |
|------|-------------|-------------------|
| `study` | Research project | PRJEB12345 |
| `sample` | Biological sample | SAMEA12345 |
| `experiment` | Library/protocol | ERX12345 |
| `read_run` | Sequencing run | ERR12345 |
| `analysis` | Computed analysis | ERZ12345 |
| `sequence` | Assembled sequence | AF123456 |
| `wgs_set` | Whole genome shotgun | AABR00000000 |
### Query Parameters
| Parameter | Description | Example |
|-----------|-------------|---------|
| `query` | Search text or taxonomy | `query=SARS-CoV-2` |
| `result` | Result type | `result=study` |
| `limit` | Max results (default 100K) | `limit=50` |
| `offset` | Pagination offset | `offset=100` |
| `format` | Response format | `json`, `tsv`, `xml` |
| `fields` | Specific fields | `fields=accession,description` |
## Python Usage
```python
import requests
PORTAL_URL = "https://www.ebi.ac.uk/ena/portal/api"
BROWSER_URL = "https://www.ebi.ac.uk/ena/browser/api"
def search_studies(query: str, limit: int = 20) -> list:
"""Search ENA for research studies."""
params = {
"query": query,
"result": "study",
"limit": limit,
"format": "json",
"fields": "study_accession,study_title,study_description,"
"tax_id,scientific_name,center_name",
}
resp = requests.get(f"{PORTAL_URL}/search", params=params)
resp.raise_for_status()
return resp.json()
def search_runs(query: str, limit: int = 20) -> list:
"""Search for sequencing runs."""
params = {
"query": query,
"result": "read_run",
"limit": limit,
"format": "json",
"fields": "run_accession,experiment_title,instrument_platform,"
"library_strategy,read_count,base_count",
}
resp = requests.get(f"{PORTAL_URL}/search", params=params)
resp.raise_for_status()
return resp.json()
def get_fasta(accession: str) -> str:
"""Retrieve sequence in FASTA format."""
resp = requests.get(f"{BROWSER_URL}/fasta/{accession}")
resp.raise_for_status()
return resp.text
def get_study_runs(study_accession: str) -> list:
"""Get all sequencing runs for a study."""
params = {
"query": f'study_accession="{study_accession}"',
"result": "read_run",
"format": "json",
"fields": "run_accession,fastq_ftp,read_count,base_count",
"limit": 1000,
}
resp = requests.get(f"{PORTAL_URL}/search", params=params)
resp.raise_for_status()
return resp.json()
# Example: find COVID-19 sequencing studies
studies = search_studies("SARS-CoV-2 whole genome", limit=5)
for s in studies:
print(f"{s['study_accession']}: {s['study_title']}")
print(f" Organism: {s.get('scientific_name')}")
# Example: find RNA-seq runs
runs = search_runs("RNA-seq breast cancer", limit=5)
for r in runs:
reads = int(r.get("read_count", 0))
print(f"{r['run_accession']}: {r.get('experiment_title', '')}")
print(f" Platform: {r.get('instrument_platform')} | "
f"Reads: {reads:,}")
```
## Data Access
```bash
# Download FASTQ files (from run metadata)
# The fastq_ftp field provides FTP paths:
wget ftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR123/ERR123456/ERR123456_1.fastq.gz
# Bulk download via Aspera (faster)
ascp -QT -l 300m -P33001 \
[email protected]:/vol1/fastq/ERR123/ERR123456/ ./
```
## References
- [ENA](https://www.ebi.ac.uk/ena/)
- [ENA Portal API](https://www.ebi.ac.uk/ena/portal/api/)
- [ENA Browser API](https://www.ebi.ac.uk/ena/browser/api/)
- Harrison, P.W. et al. (2021). "The European Nucleotide Archive in 2020." *NAR* 49(D1).Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__ena-sequence-api.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Ena Sequence Api skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Ena Sequence Api safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Ena Sequence Api access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Ena Sequence Api work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.