Trust Assessment
env-doctor received a trust score of 79/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Skill design includes direct shell command execution.
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
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Skill design includes direct shell command execution The skill's instructions explicitly include executing shell commands (`grep`, `git log`) for its 'Git safety check'. Direct execution of shell commands can lead to command injection vulnerabilities if any part of the command string is derived from untrusted input. While the examples shown use fixed strings, the pattern of direct shell execution is a significant security risk in an AI agent context. Avoid direct shell command execution. Use language-specific libraries or APIs to interact with the file system and version control systems in a sandboxed and secure manner. If shell execution is unavoidable, ensure all inputs are strictly validated and sanitized, and consider using a restricted shell environment. | LLM | SKILL.md:35 | |
| 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 | skills/sa9saq/env-doctor/SKILL.md:1 |
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