Security Audit

emergency-rescue

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

CAUTION

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

emergency-rescue received a trust score of 70/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Hardcoded AWS Access Key detected.

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 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

70%

Dependency Graph

100%

LLM Behavioral Safety

100%

Behavioral Risk Signals

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
CRITICAL	Hardcoded AWS Access Key detected A hardcoded AWS Access Key was found. Secrets should be stored in environment variables or a secret manager. Replace the hardcoded secret with an environment variable reference.	Static	skills/gitgoodordietrying/emergency-rescue/SKILL.md:173

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/9f7f6597adee3b55.svg)](https://skillshield.io/report/9f7f6597adee3b55)