Security Audit
perigon-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
perigon-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, 1 high, 0 medium, and 0 low severity. Key findings include Excessive Permissions via Generic Tool Execution.
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 | |
|---|---|---|---|---|
| HIGH | Excessive Permissions via Generic Tool Execution The skill documentation explicitly mentions `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` as a method for 'Bulk ops'. The description of `run_composio_tool()` is generic, implying it can execute any Composio tool available through Rube MCP, not just Perigon-specific ones. This grants the LLM overly broad capabilities beyond the stated 'Perigon automation' scope. A malicious prompt could instruct the LLM to use this powerful tool to execute arbitrary Composio tools, potentially leading to unauthorized actions, data exfiltration, or access to services outside the intended Perigon context. Restrict the scope of `run_composio_tool()` to only Perigon-related operations if the skill is intended solely for Perigon automation. Alternatively, if the skill is designed for broader Composio tool execution, update the skill's name and description to accurately reflect its wider capabilities. Consider providing specific examples or constraints on what `run_composio_tool()` can execute within this skill's context to prevent misuse. | LLM | SKILL.md:74 |
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