Skip to main content

Security Audit

coda

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
72
CAUTION
Scanned about 1 month ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

coda received a trust score of 72/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 0 critical, 1 high, 2 medium, and 0 low severity. Key findings include Suspicious import: requests, Suspicious import: urllib.request, Skill provides direct data exfiltration capabilities.

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
86%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
1 finding
Shell Execution
1 finding
Excessive Permissions
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/97bbffe686e00e9b.svg)](https://skillshield.io/report/97bbffe686e00e9b)
SkillShield Badge

Powered by SkillShield