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Security Audit

sundial-org/awesome-openclaw-skills:skills/apple-docs

github.com/sundial-org/awesome-openclaw-skills
AI SkillCommit 6d998e005da6
19
CRITICAL
Scanned 27 days ago
0
Critical
Immediate action required
3
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

sundial-org/awesome-openclaw-skills:skills/apple-docs received a trust score of 19/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 4 findings: 0 critical, 3 high, 1 medium, and 0 low severity. Key findings include Unsafe deserialization / dynamic eval, Unverified Third-Party Data Source for WWDC Content, Arbitrary URL Fetching via `doc` command.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on March 3, 2026 (commit 6d998e00). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
78%

Behavioral Risk Signals

Network Access
2 findings
Shell Execution
3 findings
Dynamic Code
2 findings
Excessive Permissions
1 finding

Security Findings4

SeverityFindingLayerLocation

Scan History

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