Security Audit
signwell-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
signwell-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 exposes generic tool execution beyond stated scope.
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 exposes generic tool execution beyond stated scope The skill is named 'signwell-automation' and described as automating Signwell tasks. However, it exposes the `RUBE_REMOTE_WORKBENCH` tool which, according to the quick reference, uses `run_composio_tool()`. If `run_composio_tool()` allows executing arbitrary Composio tools (not just Signwell-specific ones), this grants the agent broader permissions than implied by the skill's name and description, potentially enabling interaction with other connected services. This could lead to unintended actions or data access if the agent is compromised or misused. Clarify the scope and capabilities of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. If it is intended for Signwell-only bulk operations, ensure `run_composio_tool()` is strictly restricted to Signwell tools. If it is a generic Composio tool executor, the skill's name and description should be updated to reflect this broader capability, or the tool should be removed from a skill focused solely on Signwell to adhere to the principle of least privilege. | LLM | SKILL.md:63 |
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