Trust Assessment
ev-charger received a trust score of 55/100, 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: 1 critical, 1 high, 0 medium, and 0 low severity. Key findings include File read + network send exfiltration, Sensitive path access: AI agent config, Unpinned dependency in installation instructions.
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 Findings3
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | File read + network send exfiltration AI agent config/credential file access Remove access to sensitive files not required by the skill's stated purpose. SSH keys, cloud credentials, and browser data should never be read by skills unless explicitly part of their declared functionality. | Manifest | skills/barneyjm/ev-charger/SKILL.md:41 | |
| HIGH | Sensitive path access: AI agent config Access to AI agent config path detected: '~/.claude/'. This may indicate credential theft. Verify that access to this sensitive path is justified and declared. | Static | skills/barneyjm/ev-charger/SKILL.md:41 | |
| INFO | Unpinned dependency in installation instructions The installation instructions for `clawhub` use `@latest`, which means the version is not pinned. This can lead to supply chain risks if a malicious update to `clawhub` is published, as users would automatically pull the latest (potentially compromised) version. It is best practice to pin dependencies to a specific version. Recommend pinning the `clawhub` dependency to a specific version (e.g., `npx clawhub@1.2.3 install ev-charger`) to ensure deterministic and secure installations. | LLM | SKILL.md:19 |
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