Security Audit
PabloLION/bmad-plugin:plugins/bmad/skills/bmad-code-review
github.com/PabloLION/bmad-pluginTrust Assessment
PabloLION/bmad-plugin:plugins/bmad/skills/bmad-code-review received a trust score of 72/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Prompt Injection via untrusted skill instruction.
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 April 11, 2026 (commit 17efb6ce). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Prompt Injection via untrusted skill instruction The `SKILL.md` file, which is treated as untrusted input, contains a direct instruction to the LLM: 'Follow the instructions in ./workflow.md.' This is a clear attempt to manipulate the LLM's execution flow and could lead to the LLM processing further untrusted content or performing unintended actions if it were to follow this instruction. This violates the principle that untrusted content should not dictate the LLM's behavior. Remove or sanitize any direct instructions to the LLM within untrusted skill content. The LLM should only execute predefined tools or functions based on user intent, not arbitrary instructions from skill definitions. Skill definitions should be declarative, not imperative towards the LLM. | LLM | SKILL.md:1 |
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