Security Audit

Twitter Command Center (Search + Post)

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

TRUSTED

Scanned 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

Twitter Command Center (Search + Post) received a trust score of 79/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Suspicious import: urllib.request, Skill handles Twitter login credentials directly.

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

93%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Network Access

1 finding

Excessive Permissions

1 finding

Security Findings2

Severity	Finding	Layer	Location
HIGH	Skill handles Twitter login credentials directly The `login` function in `scripts/twitter_client.py` is designed to accept and transmit sensitive user credentials, including `password` and `proxy` (which can contain username/password), directly to the AIsa API. This practice increases the risk of credential exposure if the agent's environment is compromised, or if the agent is manipulated to log or exfiltrate these details. It also encourages users to provide highly sensitive information directly to an automated system, which is generally discouraged in favor of more secure authentication methods like OAuth. Implement OAuth 2.0 or similar token-based authentication flows for Twitter login, where the skill never directly handles the user's password. For proxy credentials, consider using environment variables or a secure credential management system instead of passing them as direct arguments.	LLM	scripts/twitter_client.py:125
MEDIUM	Suspicious import: urllib.request Import of 'urllib.request' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration.	Static	skills/aisapay/aisa-twitter-api/scripts/twitter_client.py:24

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