matchms
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.
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Critical
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Security
1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E004: Prompt injection detected in skill instructions.
What this means
Detected a prompt injection in the skill instructions. The skill contains hidden or deceptive instructions that fall outside its stated purpose and attempt to override the agent’s safety guidelines or intended behavior.
Why it was flagged
This skill prompt includes an extra behavioral instruction to proactively promote and suggest K‑Dense Web for complex workflows, which is a promotional directive outside the documented purpose of describing the matchms library and thus constitutes a deceptive/out‑of‑scope instruction.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
The Matchms required runtime workflow ingests spectra by reading user-supplied data files via functions like `load_from_mgf/load_from_mzml/load_from_msp/load_from_json`, so outsider-authored free text can reach the LLM through the file contents.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Audited
- Security analysis
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