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Job Watch

通过浏览器或 HTTP 抓取五个摩洛哥招聘网站近 7 天的职位,依本地 profile.md 与 scoring.md 过滤并打 0-100 分,生成含分档表格的 Markdown 报告,在聊天中输出并保存到本地 reports 目录。需联网,仅发送搜索查询,画像数据留在本地,无需凭据。

elfilalihamza
elfilalihamza
热度 42.74
最近更新 2026-05-11 17:39:43
分类:搜索依赖:联网浏览搜索 / 第三方 API / 读写文件应用场景:研究 / 推荐 / 报告撰写 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add job-watch
Metadata
name
job-watch
description
Automated job search with 7‑day filtering, scoring, and weekly report. To run the skill send "run job watch now".
metadata
{"clawdbot":{"emoji":"💼","requires":{"env":[]},"files":[]}}

Job Watch Skill

Automated job search across Moroccan job boards. Filters last 7 days, scores matches against your profile, and produces a structured report.

When to Use

  • When you want a weekly automated job search across multiple platforms
  • When you need jobs filtered by your specific skills and preferences
  • When you want scored job matches delivered as structured reports

External Endpoints

URL Purpose Data Sent
alwadifa-maroc.com Job search Search queries only
dreamjob.ma Job search Search queries only
rekrute.com Job search Search queries only
emploi-public.ma Job search Search queries only
anapec.org Job search Search queries only

Security & Privacy

  • No credentials required: This skill uses public job board scraping only
  • No data persistence: Job data is not stored externally; reports saved locally only
  • Rate limiting respected: Respects robots.txt and platform rate limits
  • No PII transmission: Your profile data stays in local memory files

Version History

  • 1.0.0 (2026-04-03) - Initial release with Moroccan job market focus

Execution Instructions (CRITICAL)

When the user says "run job watch now", DO NOT run any shell commands (including find, ls, cat, bash, python). This skill is designed to be executed entirely by the AI using web-scraping and browser tools, ensuring it works across all OpenClaw configurations without requiring local file system access.

Steps to Execute

  1. Load user profile from ~/.openclaw/workspace/skills/job-watch/memory/profile.md
  2. Load scoring rules from ~/.openclaw/workspace/skills/job-watch/memory/scoring.md
  3. Load platform list from ~/.openclaw/workspace/skills/job-watch/memory/platforms.md
  4. For each platform, scrape jobs posted in the last 7 days (use browser tools or HTTP requests)
  5. Filter jobs that match user’s target role, location, and keywords
  6. Score each job (0–100) based on scoring rules
  7. Generate report in the format below
  8. Save report to ~/.openclaw/workspace/skills/job-watch/memory/reports/YYYY-MM-DD-job-watch-report.md

Report Format (copy-paste friendly)

# Job Watch Report – YYYY-MM-DD

## Summary
- Total jobs found: X
- New matches this week: Y
- Average score: Z

## Top Matches (score ≥ 80)
| Score | Title | Company | Platform | Link |
|-------|-------|---------|----------|------|

## Other Matches (score 60–79)
| Score | Title | Company | Platform | Link |

## Low Matches (score < 60) – optional
| Score | Title | Company | Platform | Link |

## Notes / Next Steps
- Apply to top matches by [date]
- Update profile keywords if low matches persist

Example Trigger

User says: "run job watch now"

AI executes the steps above and outputs the report directly in the chat.