Security Audit

eventee-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 99e2a2951545

TRUSTED

Scanned 6 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

eventee-automation received a trust score of 95/100, 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 access to external API 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 17, 2026 (commit 99e2a295). 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

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Broad access to external API via generic tool execution The skill utilizes generic execution tools like `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH` (with `run_composio_tool()`) to interact with the Eventee API. These tools allow the LLM to discover and execute any available operation for the 'eventee' toolkit. This grants the LLM broad, unconstrained access to the full Eventee API as exposed by Rube MCP. While this is the intended functionality for a general automation skill, it means that a compromised LLM could potentially perform any action available through the Eventee API, including sensitive data manipulation, deletion, or retrieval, without further granular permission checks at the skill level. The skill itself does not define a restricted scope of allowed Eventee operations. Implement more granular access control at the Rube MCP or Eventee toolkit level to restrict the scope of operations available to the LLM. Alternatively, design skills that expose only specific, limited Eventee operations rather than a generic execution mechanism for all of them. If the LLM is intended to have full Eventee access, ensure robust guardrails are in place at the LLM level to prevent misuse.	LLM	SKILL.md:39

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/d70a607e21782413.svg)](https://skillshield.io/report/d70a607e21782413)