Skip to main content

Security Audit

whisper

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned about 2 months ago
3
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

whisper received a trust score of 65/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 6 findings: 3 critical, 2 high, 1 medium, and 0 low severity. Key findings include Command Injection / Path Traversal via untrusted TARGET_AGENT in filenames, Command Injection via untrusted TARGET_AGENT in KDF salt generation, Command Injection via untrusted THEIR_X25519 in dead drop calculation.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety 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
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

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

Security Findings6

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/617a9fb9ad1df12c.svg)](https://skillshield.io/report/617a9fb9ad1df12c)
SkillShield Badge

Powered by SkillShield