ClawAudit verdict

axioma-kan-system

axiomata-kan-system

88
🟢 Trusted
Low risk — reviewed by ClawAudit, behavior matches stated purpose

KAN (Kolmogorov-Arnold Networks) lifecycle management skill using local PyTorch training with Qdrant/Ollama running locally; dynamic_eval is for the local ML training pipeline with no remote code execution or exfiltration.

⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis — not a human review. ClawAudit flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

25
security
70
transparency
90
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (4)

Pattern match critical

Uses eval() — can execute arbitrary code

SKILL.md · code · eval(

Pattern match high

Pipe to python — executes piped content as Python code

SKILL.md · prose · downgraded · | Python

Pattern match medium

References sudo — requests elevated privileges

SKILL.md · prose · downgraded · sudo

Pattern match medium

pip3 install — installs Python packages at runtime

SKILL.md · code · pip3 install

Permissions & capabilities

No declared permissions — minimal attack surface.

package_installdynamic_eval

Is this flag fair?

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