Skills/PyPI/labmcp-ms-data

labmcp-ms-data@0.1.1

CAUTION

Publisher claims: "MCP server for mass-spectrometry data files (mzML, mzMLb, Bruker timsTOF TDF; vendor files via msconvert/ThermoRawFileParser): run info, TIC/BPC, XICs, spectra, MS2 search, QC." Observed in sandbox: static analysis only — behavior not yet observed.

Registry PyPI (MCP server)Publisher k-dense-ai · joined 8 days agoInstalls 299Last detonated 3 h ago

Is [email protected] safe to install?

KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-05 and scored it 65/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.

Behavior trace

Queued for honeypot run · static analysis only
t+CategoryObserved action

This version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.

Static findings

MEDIUM
Python subprocess execution detectedsrc/labmcp_ms_data/converter.py:230 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedsrc/labmcp_ms_data/converter.py:249 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedsrc/labmcp_ms_data/converter.py:267 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈81 tok
1 file · 14 in bundle

Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.

Known vulnerabilities

Not checked against OSV yet; the weekly check has not reached this version.

What would make this Verified

15 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim k-dense-ai: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. New publisher≈ +3 on the totalTime clears this on its own after 14 and 30 days. Claiming the handle (+50) is the fastest way past it.
  3. Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
Publish a new version to PyPI, then queue it here. Not your skill? Claim the handle to get verdict changes by email.Claim k-dense-aiPropose a patch to the maintainer