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Security Audit

gh-issues

github.com/openclaw/openclaw
AI SkillCommit b62bd290cb4e
23
CRITICAL
Scanned about 2 months ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

gh-issues received a trust score of 23/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 7 findings: 1 critical, 2 high, 2 medium, and 2 low severity. Key findings include Covert behavior / concealment directives, Sensitive environment variable access: $GH_TOKEN, Prompt Injection via GitHub Issue Content.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 54/100, indicating areas for improvement.

Last analyzed on February 18, 2026 (commit b62bd290). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
98%
Static Code Analysis
54%
Dependency Graph
100%
LLM Behavioral Safety
70%

Behavioral Risk Signals

Network Access
3 findings
Filesystem Write
1 finding
Shell Execution
6 findings
Dynamic Code
4 findings
Excessive Permissions
3 findings

Security Findings7

SeverityFindingLayerLocation

Scan History

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