Security Audit

satismeter-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

satismeter-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 Tool Access via Generic Execution and Dynamic Discovery.

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

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Broad Tool Access via Generic Execution and Dynamic Discovery The skill documentation instructs the agent to use generic execution tools like `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH` for 'Satismeter operations' and 'bulk ops'. Coupled with the explicit instruction to 'Always search tools first' via `RUBE_SEARCH_TOOLS`, this implies the agent can dynamically discover and execute a wide range of operations on Satismeter data. This broad, dynamic access to potentially all Satismeter functionalities, without explicit scope limitations within the skill definition, increases the risk of unintended actions or data manipulation if the agent's reasoning is compromised or if malicious input is provided. Consider defining a more granular set of allowed Satismeter operations or specific tool slugs that the agent is permitted to use, rather than relying solely on dynamic discovery and generic execution for all 'Satismeter operations'. If broad access is necessary, ensure robust input validation and agent reasoning safeguards are in place to prevent misuse of the extensive capabilities.	LLM	SKILL.md:1

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