Security Audit

yelp-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

yelp-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 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 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

93%

Behavioral Risk Signals

Network Access

1 finding

Filesystem Write

1 finding

Shell Execution

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Broad tool execution capability via RUBE_REMOTE_WORKBENCH The skill documentation lists `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` as an approach for 'Bulk ops'. This suggests the ability to execute arbitrary Composio tools, which may extend beyond the stated purpose of 'Yelp automation'. If `run_composio_tool()` can access sensitive resources (e.g., local filesystem, arbitrary network endpoints) or execute arbitrary code, this represents an excessive permission. A malicious prompt could exploit this by instructing the LLM to use `RUBE_REMOTE_WORKBENCH` to execute a harmful Composio tool, leading to actions outside the intended scope of the skill. Clarify the scope and limitations of `run_composio_tool()` when used within this skill. If `run_composio_tool()` is intended to be restricted to Yelp-specific operations, this should be explicitly stated and enforced by the underlying Rube MCP system. If it is truly generic, the skill's description should reflect this broader capability and potential risks, and consider if such a broad primitive is necessary for a 'Yelp automation' skill.	LLM	SKILL.md:68

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