Install
$ agentstack add skill-yulianuzhnenko-bioinformatics-agent-skills-ensembl-vep-variant-annotator ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Agent Skill: Clinical VCF Variant Prioritization & VEP Skill
[](#) [](#)
📌 Description
Parses multi-sample VCF files, queries Ensembl VEP REST API, filters ClinVar pathogenicity ratings, and maps driver mutations to FDA targeted drugs.
🤖 Agent Execution Protocol
When an AI Agent is tasked with ensembl-vep-variant-annotator:
- Input Validation: Verify that the required input files or coordinates are supplied.
- Environment Check: Ensure dependencies (
PyVCF, Ensembl VEP API, ClinVar, Open Targets) are installed. - Execution: Run the protocol pipeline snippet below.
- Output Generation: Produce actionable Markdown/JSON summaries with publication figures.
💻 Protocol Code Snippet
import requests
def query_vep_variant(chrom, pos, ref, alt):
url = f"https://rest.ensembl.org/vep/human/region/{chrom}:{pos}-{pos}:1/{alt}?content-type=application/json"
r = requests.get(url)
return r.json() if r.status_code == 200 else {}
📥 Input & Output Specifications
Input Contract
- Target Files: Valid input data matching domain formats.
- Parameters: Quality thresholds and cutoffs.
Output Contract
- Results Table: Structured summary dataframe or matrix.
- Visualization: Rendered SVG/PNG figures.
📄 License
Distributed under the MIT License. See LICENSE for details.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: YuliaNuzhnenko
- Source: YuliaNuzhnenko/bioinformatics-agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.