测绘/GIS 专业校招信息监控技能。使用场景：用户需要搜索、监控或定期推送测绘类、地理信息系统（GIS）专业的招聘信息时触发。支持筛选国央企、事业单位、大厂等优先级，可定时执行推送最新校招岗位。

Key things to check before installing: - Credential mismatch: SKILL.md says "需要配置 Brave Search API 密钥" but the registry metadata declares no required env vars — confirm whether you must provide a Brave Search API key (or other search credentials) and where to store it. Do not paste secrets into free-text fields. - Missing file: SKILL.md references scripts/compare-jobs.py but that file is not present. Ask the author why and request the missing file or an explanation of how job comparison will be performed. - Dependencies not declared: the scripts import python-docx (module 'docx') but the skill metadata does not declare Python dependencies or an install step. You will need python-docx installed in the agent environment for report generation to work. - Filesystem writes: bundled scripts write output to /tmp/openclaw/... and /root/.openclaw/workspace/..., which may require particular filesystem permissions. Confirm the runtime environment and whether the skill will run as root or with limited privileges — verify you are comfortable with those write locations. - Actual scraping vs simulation: search-jobs.py contains only a simulated search function returning sample data and comments that actual calls should use the platform's web_search or browser tool. Confirm how the agent will perform real network searches and that required API keys or browser capabilities are available. Scraping websites can violate terms of service — ensure compliance and throttling to avoid IP blocking. - Scheduling and delivery: SKILL.md demonstrates creating cron tasks and sending to a Dingtalk channel. Verify the platform's cron and messaging integrations are configured and that you approve scheduled pushes to the specified delivery channel and recipient IDs. - Source & provenance: the skill source/homepage is unknown. If you cannot contact the author, consider sandboxing the skill (limited permissions, review logs) or requesting the author to publish a homepage, dependency list, and to declare required env vars explicitly. If you decide to install, ask the author to (1) add declared required env vars (Brave Search API key) to metadata, (2) include or remove references to missing scripts, (3) list dependencies and an install step (pip install python-docx), and (4) avoid hard-coding root file paths or make outputs configurable.

Type: OpenClaw Skill Name: gis-job-monitor Version: 1.0.0 The gis-job-monitor skill is a legitimate tool designed to help users track and report on GIS and surveying job opportunities. The Python scripts (e.g., search-jobs.py and generate_report.py) use standard libraries like python-docx to generate recruitment reports and simulate job searches without any evidence of malicious intent, data exfiltration, or unauthorized system access. The instructions in SKILL.md are consistent with the stated purpose of automating job monitoring via the OpenClaw platform's built-in cron and search capabilities.