Security Audit

socket-gen

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

CAUTION

Scanned 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

socket-gen received a trust score of 74/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 0 critical, 2 high, 0 medium, and 0 low severity. Key findings include Unpinned external dependency execution via npx, Potential credential harvesting via external npx tool.

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 13, 2026 (commit 13146e6a). 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

70%

Behavioral Risk Signals

Network Access

2 findings

Shell Execution

1 finding

Excessive Permissions

1 finding

Security Findings2

Severity	Finding	Layer	Location
HIGH	Unpinned external dependency execution via npx The skill recommends executing an external `npx` package (`ai-socket`) without specifying a version. This introduces a significant supply chain risk, as a malicious update to the `ai-socket` package could lead to arbitrary code execution on the user's system when the command is run. Users are implicitly trusting the integrity of the `ai-socket` package and its maintainers. Pin the `npx` package to a specific, known-good version (e.g., `npx ai-socket@1.0.0`) to mitigate risks from future malicious updates. Additionally, consider providing a mechanism for users to verify the package's integrity (e.g., checksums).	LLM	SKILL.md:10
HIGH	Potential credential harvesting via external npx tool The skill instructs the user to run an external `npx` package (`ai-socket`) which explicitly requires the `OPENAI_API_KEY` environment variable. If the `ai-socket` package is compromised (as per the supply chain risk identified), it could exfiltrate this sensitive API key, leading to unauthorized access to the user's OpenAI account and potential financial or data loss. Advise users to exercise extreme caution when running external tools that require sensitive environment variables. If possible, provide a sandboxed environment or a method to pass credentials securely without exposing them globally to potentially untrusted code.	LLM	SKILL.md:47

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