Caveat verdict

dingji-course-design

88
๐ŸŸข Trusted
No high-risk patterns surfaced by the deep scan โ€” automated capability review, not behavioral proof.

A higher mathematics course design system using Bloom's taxonomy and OpenClaw multi-agent patterns; it contains only pedagogical content (task matrices, learning path YAML configs) with no capabilities that could enable exfiltration or code execution.

โš  Flagged for review โ€” coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

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

70
security
90
transparency
70
maintenance

Findings (1)

Pattern match critical

Unicode homoglyph detected โ€” uses lookalike characters to evade pattern matching

references/math-knowledge-graph.md ยท code

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

Is this flag fair?

Check another skill Browse the registry Auditing your own skills or configs? Use the API