Security Audit

pymc-labs/agent-skills:skills/marimo-notebooks

github.com/pymc-labs/agent-skills

AI SkillCommit 64e299daabcf

CRITICAL

Scanned 8 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

pymc-labs/agent-skills:skills/marimo-notebooks received a trust score of 48/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 3 findings: 1 critical, 1 high, 1 medium, and 0 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, Dangerous call: subprocess.run().

The analysis covered 4 layers: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. The manifest_analysis layer scored lowest at 63/100, indicating areas for improvement.

Last analyzed on February 11, 2026 (commit 64e299da). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

63%

Static Code Analysis

85%

Dependency Graph

100%

LLM Behavioral Safety

100%

Behavioral Risk Signals

Shell Execution

3 findings

Dynamic Code

1 finding

Security Findings3

Severity	Finding	Layer	Location
CRITICAL	Arbitrary command execution Python shell execution (os.system, subprocess) Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands.	Unknown	/tmp/skillscan-clone-n2hbrsg4/repo/skills/marimo-notebooks/scripts/convert_notebook.py:25
HIGH	Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function 'convert_jupyter_to_marimo'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives.	Unknown	/tmp/skillscan-clone-n2hbrsg4/repo/skills/marimo-notebooks/scripts/convert_notebook.py:25
MEDIUM	Unsafe deserialization / dynamic eval Decryption followed by code execution Remove obfuscated code execution patterns. Legitimate code does not need base64-encoded payloads executed via eval, encrypted-then-executed blobs, or dynamic attribute resolution to call system functions.	Unknown	/tmp/skillscan-clone-n2hbrsg4/repo/skills/marimo-notebooks/assets/data_analysis_template.py:20

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