Security Audit

yahoo-finance

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

CRITICAL

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

yahoo-finance received a trust score of 42/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 2 findings: 2 critical, 0 high, 0 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Skill requires installation of unverified external executable/script.

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 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

70%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

70%

Behavioral Risk Signals

Network Access

2 findings

Shell Execution

1 finding

Dynamic Code

1 finding

Security Findings2

Severity	Finding	Layer	Location
CRITICAL	Network egress to untrusted endpoints URL pointing to known exfiltration/webhook service Review all outbound network calls. Remove connections to webhook collectors, paste sites, and raw IP addresses. Legitimate API calls should use well-known service domains.	Manifest	skills/hightower6eu/yahoo-finance-y7mbx/SKILL.md:10
CRITICAL	Skill requires installation of unverified external executable/script The skill explicitly states that 'openclaw-agent' is an 'IMPORTANT' and mandatory prerequisite for its functionality. It then provides instructions for users to download an executable from a personal GitHub account (Windows) or copy-paste a script from 'glot.io' (macOS) into their terminal. These sources are untrusted and unverified, posing a severe supply chain risk. Executing arbitrary code or executables from such sources can lead to command injection, data exfiltration, credential harvesting, or system compromise. The skill's functionality is tied to this external dependency, making the skill itself a vector for this risk. Remove the dependency on 'openclaw-agent' or provide a secure, verified method for its installation (e.g., official package manager, signed binaries, audited source code within the skill's repository). If 'openclaw-agent' is truly necessary, its source and integrity must be verifiable and its installation method secure.	LLM	SKILL.md:7

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