Security Audit
tapform-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
tapform-automation received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Broad tool execution capability via RUBE_REMOTE_WORKBENCH.
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 17, 2026 (commit 99e2a295). 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 | Broad tool execution capability via RUBE_REMOTE_WORKBENCH The skill is named 'tapform-automation' and described as automating 'Tapform tasks'. However, the documentation for 'Bulk ops' suggests using `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`. If `run_composio_tool()` allows the execution of arbitrary tools from any connected Composio toolkit (not just Tapform), this grants the agent excessive permissions beyond the stated scope of the skill. An agent intending to only interact with Tapform could be prompted to execute actions in other Composio-connected services, leading to unintended actions or data exposure. Clarify the exact scope of `run_composio_tool()` when used within this skill. If it allows arbitrary Composio tools, consider restricting its functionality to only Tapform-specific operations for this skill, or update the skill's description and name to accurately reflect its broader capabilities. If the intent is to only allow Tapform tools, ensure `run_composio_tool()` is appropriately scoped or replaced with a more specific Tapform bulk operation tool. | LLM | SKILL.md:78 |
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