Trust Assessment
context received a trust score of 49/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 3 findings: 1 critical, 1 high, 1 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/context/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/context/SKILL.md:41 | |
| MEDIUM | Unpinned Dependency in Installation Instructions The installation instructions use `npx clawhub@latest install context`. Using `@latest` for a package means that the version is unpinned, which can lead to supply chain vulnerabilities. If a malicious update is pushed to the `clawhub` package, it could be automatically downloaded and executed during installation without explicit user approval of the version. Pin the version of `clawhub` to a specific, known-good version (e.g., `npx clawhub@1.2.3 install context`) to ensure deterministic installations and mitigate risks from unexpected updates. | LLM | SKILL.md:23 |
Scan History
Embed Code
[](https://skillshield.io/report/554319a479c22fbf)
Powered by SkillShield