Skills/PyPI/labmcp-ms-worklist

labmcp-ms-worklist@0.1.1

CAUTION

Publisher claims: "MCP server that builds, validates and exports LC-MS worklist import files for MassLynx, SCIEX OS, MassHunter and Xcalibur." Observed in sandbox: static analysis only — behavior not yet observed.

Registry PyPI (MCP server)Publisher k-dense-ai · joined 8 days agoInstalls 316Last detonated 2 h ago

Is [email protected] safe to install?

KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-05 and scored it 63/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Hidden zero-width characters detected. 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

HIGH
Hidden zero-width characters detectedsrc/labmcp_ms_worklist/driver.py:716 · Hidden zero-width characters detected — may conceal contentFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
AST07

No other findings across 3,174 lines in 15 files.

Cost to the agent

Instructions loaded
≈70 tok
1 file · 15 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

17 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. Hidden zero-width characters detected≈ +4 on the totalKeep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
  3. 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.
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