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Security Audit

oliveskin/openclaw-skill-tinman:skills/tinman

github.com/oliveskin/openclaw-skill-tinman
AI SkillCommit 46b86995659c
10
CRITICAL
Scanned 3 months ago
9
Critical
Immediate action required
4
High
Priority fixes suggested
3
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

oliveskin/openclaw-skill-tinman:skills/tinman received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 16 findings: 9 critical, 4 high, 3 medium, and 0 low severity. Key findings include System prompt override / policy bypass, Persistence / self-modification instructions, Network egress to untrusted endpoints.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on August 1, 2026 (commit 46b86995). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
55%
Dependency Graph
79%
LLM Behavioral Safety
70%

Behavioral Risk Signals

Network Access
5 findings
Filesystem Write
6 findings
Shell Execution
6 findings
Dynamic Code
3 findings
Excessive Permissions
6 findings

Security Findings16

SeverityFindingLayerLocation

Scan History

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