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Security Audit

telegram-automation

github.com/ComposioHQ/awesome-claude-skills
AI SkillCommit 99e2a2951545
89
TRUSTED
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

telegram-automation received a trust score of 89/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Skill enables retrieval and potential exfiltration of sensitive Telegram data, Skill enables generation and potential misuse of chat invite links.

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 17, 2026 (commit 99e2a295). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
86%

Behavioral Risk Signals

Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings2

SeverityFindingLayerLocation

Scan History

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