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Security Audit

telegram-voice-group

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
32
CRITICAL
Scanned 3 months ago
3
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

telegram-voice-group received a trust score of 32/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 5 findings: 3 critical, 1 high, 0 medium, and 1 low severity. Key findings include Arbitrary command execution, Node lockfile missing, Command Injection in `node -e` call via `$SESSION_KEY` in bash script.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 25/100, indicating areas for improvement.

Last analyzed on February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
100%
Dependency Graph
98%
LLM Behavioral Safety
25%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
4 findings
Dynamic Code
3 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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