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Security Audit

agentic-paper-digest-skill

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
44
CRITICAL
Scanned 3 months ago
2
Critical
Immediate action required
1
High
Priority fixes suggested
4
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

agentic-paper-digest-skill received a trust score of 44/100, 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: 2 critical, 1 high, 4 medium, and 1 low severity. Key findings include Sensitive environment variable access: $HOME, Arbitrary file sourcing via user-controlled ENV_FILE, Command injection via user-controlled PROJECT_DIR in `cd` command.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 16/100, indicating areas for improvement.

Last analyzed on February 12, 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
100%
LLM Behavioral Safety
16%

Behavioral Risk Signals

Filesystem Write
4 findings
Shell Execution
8 findings
Dynamic Code
4 findings
Excessive Permissions
4 findings

Security Findings8

SeverityFindingLayerLocation

Scan History

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