Security Audit
atr-benign-control
github.com/cisco-ai-defense/skill-scannerAI SkillCommit 41fec4a9570b
85
TRUSTED0
Critical
Immediate action required
0
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked
Trust Assessment
atr-benign-control received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Missing required field: name.
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 July 1, 2026 (commit 41fec4a9). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Manifest Analysis
100%Static Code Analysis
93%Dependency Graph
100%LLM Behavioral Safety
100%Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | evals/test_skills/safe/atr-benign-control/SKILL.md:1 |
Scan History
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