Skip to main content

Security Audit

telegram-pairing-approver

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
11
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

telegram-pairing-approver 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 12 findings: 11 critical, 1 high, 0 medium, and 0 low severity. Key findings include Persistence / self-modification instructions, Arbitrary command execution, Command Injection via unescaped BOT_TOKEN.

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 February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
55%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
11 findings
Dynamic Code
2 findings
Excessive Permissions
1 finding

Security Findings12

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/923c10a02a8eb673.svg)](https://skillshield.io/report/923c10a02a8eb673)
SkillShield Badge

Powered by SkillShield