Security Audit

html-to-image-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

html-to-image-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 MCP.

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

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Broad tool execution capability via Rube MCP The skill instructs the LLM agent to use `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH` to dynamically discover and execute any tool within the `html_to_image` toolkit. This grants the agent broad access to all functions exposed by the underlying toolkit, rather than restricting it to a specific, minimal set of operations. If the `html_to_image` toolkit contains tools with sensitive capabilities (e.g., file system access, arbitrary network requests, or data manipulation beyond image conversion), a compromised agent could exploit this broad access to perform unintended or malicious actions. Restrict the agent's access to a predefined, minimal set of `html_to_image` tools required for the skill's intended purpose. Avoid allowing dynamic discovery and execution of all available tools if the toolkit's scope is broad. Implement strict input validation and output sanitization for all tool arguments and results. Ensure the `html_to_image` toolkit itself operates within a tightly sandboxed environment with least privilege.	LLM	SKILL.md:49

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