Security Audit

deadline-funnel-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 27904475d127

TRUSTED

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

deadline-funnel-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 Broad execution capabilities 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 20, 2026 (commit 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Broad execution capabilities via RUBE_REMOTE_WORKBENCH The skill describes using `RUBE_REMOTE_WORKBENCH` for 'Bulk ops' with `run_composio_tool()`. A 'workbench' tool, especially one capable of running other tools, typically implies broad execution capabilities. Without explicit constraints or sandboxing mechanisms described, this tool could allow the execution of arbitrary Composio tools or even arbitrary code, potentially leading to unintended actions, data manipulation, or system compromise if untrusted input can influence its arguments. This represents a significant excessive permission risk and a potential command injection vector. Clarify the exact scope and limitations of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. Ensure that `run_composio_tool()` is strictly limited to a predefined set of safe operations and that its arguments are thoroughly validated and sanitized to prevent command injection or unintended tool execution. Implement robust sandboxing for any code executed via this mechanism.	LLM	SKILL.md:67

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