geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
58
67%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/geniml/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
W011: Third-party content exposure detected (indirect prompt injection risk)
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
Third-party content exposure detected (high risk: 0.80). The skill explicitly fetches public, user-provided BED files via BBClient (references/utilities.md shows client.load_bed and SKILL.md mentions "Use BBClient for accessing remote BED repositories / BEDbase") and also references loading pre-trained models from Hugging Face, so untrusted third‑party content is ingested and used in tokenization/training/search workflows and can materially influence tool behavior.
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
cbcae7b
- Audited
- Security analysis
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