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Security Audit

clawd-throttle

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
70
CAUTION
Scanned 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
4
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

clawd-throttle received a trust score of 70/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 0 critical, 0 high, 4 medium, and 1 low severity. Key findings include Sensitive environment variable access: $ANTHROPIC_API_KEY, Sensitive environment variable access: $OPENAI_API_KEY, Sensitive environment variable access: $HOME.

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 February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
79%
Dependency Graph
93%
LLM Behavioral Safety
98%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
3 findings
Excessive Permissions
3 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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