審計紀錄

Static analysis correctly identified network access, environment variable use, and filesystem writes, but the reviewed intent is a BrowserAct API client that writes local reports. No prompt injection, hidden command execution, credential exfiltration, or confirmed malicious behavior was found, but publication should warn users about third-party API-key handling and local file output.

This skill scrapes Amazon product data via the BrowserAct API and generates competitive analysis reports. The static scanner found 86 potential issues including network access, environment variable reading, filesystem writes, and shell command patterns. After AI evaluation: network calls go to a single hardcoded BrowserAct API endpoint (no exfiltration), env access follows standard API key patterns, filesystem writes are legitimate report output, and shell commands in SKILL.md are documentation-only (markdown code blocks, not executed). The skill combines multiple high-risk capabilities (network + credentials + filesystem) which requires attention, but the code is transparent with no obfuscation or malicious intent detected.

Evaluated 86 static findings across 3 files. All findings are legitimate API client patterns, not security vulnerabilities. The skill uses standard environment variable configuration for BrowserAct API credentials, makes outbound network requests to the legitimate BrowserAct service, and writes analysis reports to user-specified directories. The static scanner flagged standard practices (dotenv loading, requests library usage, argparse CLI parsing) as suspicious. No malicious intent or actual vulnerabilities confirmed after code review.