Security Audit
PabloLION/bmad-plugin:plugins/bmad/skills/bmad-document-project
github.com/PabloLION/bmad-pluginTrust Assessment
PabloLION/bmad-plugin:plugins/bmad/skills/bmad-document-project received a trust score of 73/100, 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 external 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 external instruction The skill's primary instruction, located within untrusted input delimiters, attempts to direct the host LLM to read and follow instructions from an external file (`./workflow.md`). This is a direct prompt injection attempt, as it tries to manipulate the LLM's execution flow by introducing instructions from an unverified source, potentially leading to arbitrary code execution or data exfiltration if the external file contains malicious commands. Remove or sanitize any instructions within untrusted content delimiters that attempt to control the LLM's behavior or access external resources. The LLM should only execute instructions explicitly provided by the trusted skill definition, not by untrusted user-supplied or skill-supplied content that is marked as untrusted. If external instructions are necessary, they must be explicitly loaded and validated by the trusted skill code, not by direct LLM instruction. | LLM | SKILL.md:3 |
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