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Agent Skill · 研究检索

jobautopilot-search(职位自动驾驶搜索)

jobautopilot-search 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

jobautopilot-search 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 15,565。

总安装 7,760周安装 317GitHub Stars 公开资料未说明下载 2,511核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.3.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:jobautopilot-search(职位自动驾驶搜索)
来源仓库:https://github.com/jerronl/jobautopilot-search
安装命令:
openclaw skills install jobautopilot-search
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install jobautopilot-search

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

职位自动驾驶搜索读取简历库建立候选人画像,并在主流平台查找匹配岗位。适合需要跨平台聚合职位信息并智能筛选的场景。jobautopilot-search 属于研究检索类 Skill,可作为该场景下的辅助能力补充。支持 LinkedIn、Indeed、Glassdoor 等多个招聘网站的检索。

使用前需上传简历文件并授权访问相关平台接口。建议核对搜索结果的真实性和平台反爬策略限制。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install jobautopilot-search;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

jobautopilot-search 怎么安装?

在终端执行 openclaw skills install jobautopilot-search。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

jobautopilot-search 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

jobautopilot-search 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

jobautopilot-search 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

jobautopilot-search 用的人多吗?

公开数据是累计安装 7,760 次,近一周安装 317 次,下载 2,511 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

jobautopilot-search 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
jobautopilot-search

职位自动驾驶搜索 · 本页

7,760—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
jobautopilot-search
description
Reads your resume pool to build a candidate profile, then searches LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google Jobs, and company career pages for matching roles. Filters by role, location, salary, and recency. Writes results to a structured tracker. Requires a browser tool (profile: search) and local config via environment variables. Part of the Job Autopilot pipeline.
author
jerronl
version
1.3.0
homepage
https://github.com/jerronl/jobautopilot
tags
requires
browser
true
browser_profile
search
env
metadata
clawdbot
emoji
🔍
requires
env
bins
[] # browser tool and clawhub CLI only
files
[]
browser
true
browser_profile
search

Job Autopilot — Search Agent

Searches LinkedIn (and optionally company career pages) for roles matching your criteria, applies hard filters, and writes results into a structured tracker file.

Setup

All env vars below are set by setup.sh (from jobautopilot-bundle). If you install standalone, add to ~/.openclaw/users/<you>/config.sh:

export JOB_SEARCH_KEYWORDS="quant risk python c++ developer"
export JOB_SEARCH_LOCATION="New York City"
export JOB_SEARCH_MIN_SALARY=200000      # optional, for known listings
export JOB_SEARCH_MAX_AGE_DAYS=90        # only keep listings posted within N days
export JOB_SEARCH_TRACKER="$HOME/.openclaw/workspace/job_search/job_application_tracker.md"
export JOB_SEARCH_HANDOFF="$HOME/.openclaw/workspace/job_search/SEARCH_AGENT_HANDOFF.md"
export RESUME_DIR="$HOME/Documents/jobs/"  # path to your resume files

Initialize the tracker if it does not exist yet:

mkdir -p ~/.openclaw/workspace/job_search
touch ~/.openclaw/workspace/job_search/job_application_tracker.md
touch ~/.openclaw/workspace/job_search/SEARCH_AGENT_HANDOFF.md

Read at session start

Every session, before searching, the agent must read in order:

  1. $RESUME_DIR — build a candidate profile from the user's resume pool (see below)
  2. $JOB_SEARCH_TRACKER — check existing entries to avoid duplicates
  3. $JOB_SEARCH_HANDOFF — pick up context from previous sessions

How to read the resume pool

Scan all files in $RESUME_DIR (.docx, .pdf, .md, .txt). From them, extract and record:

  • Skills — programming languages, tools, frameworks, domain knowledge, certifications
  • Titles held — past and current job titles, seniority level
  • Industries / asset classes — sectors the user has worked in
  • Preferred roles — infer from the most recent or most polished resume; note any target roles the user has written explicitly
  • Location / remote preference — extract from contact header or any explicit statement
  • Seniority signals — years of experience, scope of responsibility, team size managed

Synthesize these into a short candidate profile (keep it in working memory for this session). Use the profile to:

  • Derive search keywords (e.g. titles, skills, domain terms)
  • Set the seniority filter (reject roles that are clearly too junior or too senior)
  • Prioritize industries and company types that match past experience
  • Skip roles where the user clearly lacks the stated hard requirements

Search behavior

Use the browser tool with profile search. Search LinkedIn Jobs as the primary source. Also search company career pages for target employers when useful.

Keyword combinations to try (mix and match from config):

<keyword1> <keyword2> <location>
site:linkedin.com/jobs <keyword> <location>

Repeat with multiple keyword pairs. Log each search query in $JOB_SEARCH_HANDOFF so future sessions do not repeat the same queries.

Hard filters — reject if ANY applies

  • Location is not $JOB_SEARCH_LOCATION (or explicitly remote)
  • Posted more than $JOB_SEARCH_MAX_AGE_DAYS days ago
  • Salary listed and below $JOB_SEARCH_MIN_SALARY
  • Role is clearly junior (< 3 years required) unless explicitly configured otherwise
  • Duplicate of an existing tracker entry (same company + title)

Tracker format

Append one row per kept result to $JOB_SEARCH_TRACKER. Use this format exactly:

| Company | Title | Location | URL | Posted | Salary | Status | Notes |
|---------|-------|----------|-----|--------|--------|--------|-------|
| Acme Corp | Quant Developer | NYC | https://... | 2026-03-15 | $250k base | shortlist | 3 YOE req, Python+C++ |
| Rejected Co | Junior Analyst | NYC | https://... | 2026-01-01 | unknown | rejected | too junior |

Status values: shortlist | rejected | error

Both kept and rejected results must be recorded. Every kept result must include the exact job URL.

Handoff notes

After each search session, update $JOB_SEARCH_HANDOFF with:

  • Queries run this session
  • Date range of listings found
  • Any platforms or companies worth revisiting
  • Anything unusual encountered

Optional: Find hiring managers (user-initiated only)

This step is only performed when the user explicitly asks (e.g. "find the hiring manager", "who should I contact at X"). It is never run automatically.

When requested, use the browser tool to look up the relevant person via:

  • LinkedIn — search for recruiters or engineering managers at the company
  • Company website — check the careers page or team page for contact information

Record any found contacts in the tracker's Notes column.

Scope

This skill covers search, screening, and optional hiring manager outreach. Do not tailor resumes, write cover letters, or submit applications. Hand off shortlist entries to the jobautopilot-tailor skill.

Support

If Job Autopilot saved you time: paypal.me/ZLiu308

平台分布

OpenClaw

93.23%
按下载量换算2,341

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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