Security Audit
existential-birds/beagle:plugins/beagle-core/skills/verify-llm-artifacts
github.com/existential-birds/beagleTrust Assessment
existential-birds/beagle:plugins/beagle-core/skills/verify-llm-artifacts 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, 1 high, 0 medium, and 0 low severity. Key findings include Command Injection via Untrusted Git Parameters.
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 20, 2026 (commit aed6fce7). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Command Injection via Untrusted Git Parameters The skill instructs the agent to execute a shell command (`git cat-file -e <head>:<file>`) using parameters (`source_git_head` and `file`) parsed from an untrusted JSON file (`.beagle/llm-artifacts-review.json`). If these parameters contain shell metacharacters, it can lead to arbitrary command execution in the agent's environment. Instruct the agent to validate that `source_git_head` is a valid git commit hash (e.g., hex characters only) and that `file` is a valid relative path before executing the command, or use a safe Python script to perform the check without invoking a shell. | LLM | SKILL.md:85 |
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