Security Audit
pdfmonkey-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
pdfmonkey-automation 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, 0 high, 1 medium, and 0 low severity. Key findings include Skill enables broad access to Pdfmonkey operations via generic Rube tools.
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 20, 2026 (commit 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Skill enables broad access to Pdfmonkey operations via generic Rube tools The skill instructs the LLM to use `RUBE_SEARCH_TOOLS` to dynamically discover 'Pdfmonkey operations' and then execute them via `RUBE_MULTI_EXECUTE_TOOL` or `RUBE_REMOTE_WORKBENCH`. This design grants the LLM access to the full range of Pdfmonkey functionalities exposed through the Composio platform, rather than restricting it to a specific, minimal set of actions. This broad, dynamic access, especially through generic execution tools, increases the risk of an LLM performing unintended or unauthorized actions if prompted maliciously, as it can discover and execute any available operation. Restrict the LLM's access to a predefined, minimal set of Pdfmonkey operations required for the skill's intended purpose. Avoid dynamic discovery and execution of arbitrary tools where possible, or implement strict guardrails around such capabilities. If dynamic discovery is necessary, ensure that the underlying tools have fine-grained permissions and that the LLM's execution is subject to human review or strict policy enforcement. | LLM | SKILL.md:50 |
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