Salary Market Analysis

PassAudited by ClawScan on May 13, 2026.

Overview

This appears to be a coherent local salary-market analysis tool; the main cautions are user-directed package installs and optional web/browser data collection.

Reasonable to use if you are comfortable installing the listed dependencies and collecting salary data responsibly. Keep inputs and reports in a workspace you control, review generated outputs before sharing, and avoid running any optional browser automation or extension code unless you have reviewed and trust it.

Findings (2)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Installing these dependencies may add code from external package sources and a browser runtime to the user's environment.

Why it was flagged

The skill documents user-run installs of third-party packages and an optional browser engine without a lockfile or install spec. This is purpose-aligned but still introduces normal dependency supply-chain exposure.

Skill content
pip install numpy>=1.21.0 pandas>=1.3.0 openpyxl>=3.0.0 python-docx>=0.8.11 beautifulsoup4>=4.11.0 ... pip install playwright>=1.40.0; playwright install chromium
Recommendation

Install in a virtual environment, use trusted package indexes, consider pinning versions, and only install optional Playwright/Chromium if needed.

What this means

Automated scraping or browser extensions could interact with third-party sites in ways that violate site terms or collect more data than intended if misconfigured.

Why it was flagged

The guide describes optional automated collection from recruitment websites, including browser automation and proxy use. This fits the salary-data collection purpose, and the same guide advises robots.txt compliance, delays, and human validation, so it is a caution rather than a concern.

Skill content
方案 2:Tampermonkey 用户脚本 ... 脚本自动提取数据 ... 方案 5:Playwright 自动化 ... 使用代理:避免 IP 被封
Recommendation

Prefer manual or reviewed collection flows, comply with site terms and robots.txt, use conservative rate limits, and do not run unreviewed automation scripts or browser extensions.