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Security Audit

jasper-recall

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
41
CRITICAL
Scanned 2 months ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
4
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

jasper-recall received a trust score of 41/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 8 findings: 1 critical, 2 high, 4 medium, and 1 low severity. Key findings include Missing required field: name, Sensitive environment variable access: $HOME, Node lockfile missing.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 33/100, indicating areas for improvement.

Last analyzed on February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
79%
Dependency Graph
98%
LLM Behavioral Safety
33%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
3 findings
Shell Execution
4 findings
Dynamic Code
1 finding
Excessive Permissions
4 findings

Security Findings8

SeverityFindingLayerLocation

Scan History

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