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hirehire 搜索

Agent Skill

hire 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。

总安装

67,517

周安装

2,705

GitHub Stars

公开资料未说明

下载量

21,856
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:hire(hire 搜索)
来源仓库:https://github.com/larsderidder/hire
安装命令:
openclaw skills install hire
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 hire

简介

用于设置新的人工智能团队成员的交互式招聘向导。通过对话指导用户完成角色设计,生成代理身份文件,并可选择设置绩效审核。当用户想要雇用、添加或设置新的 AI 代理、团队成员或助理时使用。触发“雇用”、“添加代理”、“我需要 X 方面的帮助”(暗示新角色)或“/雇用”等短语。

SKILL.md

name
hire
description
Interactive hiring wizard to set up a new AI team member. Guides the user through role design via conversation, generates agent identity files, and optionally sets up performance reviews. Use when the user wants to hire, add, or set up a new AI agent, team member, or assistant. Triggers on phrases like "hire", "add an agent", "I need help with X" (implying a new role), or "/hire".

hire

Set up a new AI team member through a guided conversation. Not a config generator - a hiring process.

When to Use

User says something like:

  • "I want to hire a new agent"
  • "I need help with X" (where X implies a new agent role)
  • "Let's add someone to the team"
  • /hire

The Interview

3 core questions, asked one at a time:

Q1: "What do you need help with?" Let them describe the problem, not a job title. "I'm drowning in code reviews" beats "I need a code reviewer."

  • Listen for: scope, implied autonomy level, implied tools needed

Q2: "What's their personality? Formal, casual, blunt, cautious, creative?" Or frame it as: "If this were a human colleague, what would they be like?"

  • Listen for: communication style, vibe, how they interact

Q3: "What should they never do?" The red lines. This is where trust gets defined.

  • Listen for: boundaries, safety constraints, access limits

Q4: Dynamic (optional)

After Q1-Q3, assess whether anything is ambiguous or needs clarification. If so, ask ONE follow-up question tailored to what's unclear. Examples:

  • "You mentioned monitoring - should they alert you immediately or batch updates?"
  • "They'll need access to your codebase - any repos that are off-limits?"
  • "You said 'casual' - are we talking friendly-professional or meme-level casual?"

If Q1-Q3 were clear enough, skip Q4 entirely.

Summary Card

After the interview, present a summary:

🎯 Role: [one-line description]
🧠 Name: [suggested name from naming taxonomy]
🤖 Model: [selected model] ([tier])
⚡ Personality: [2-3 word vibe]
🔧 Tools: [inferred from conversation]
🚫 Boundaries: [key red lines]
🤝 Autonomy: [inferred level: high/medium/low]

Then ask: "Want to tweak anything, or are we good?"

Model Selection

Before finalizing, select an appropriate model for the agent.

Step 1: Discover available models

Run openclaw models list or check the gateway config to see what's configured.

Step 2: Categorize by tier

Map discovered models to capability tiers:

TierModels (examples)Best for
reasoningclaude-opus-*, gpt-5*, gpt-4o, deepseek-r1Strategy, advisory, complex analysis, architecture
balancedclaude-sonnet-*, gpt-4-turbo, gpt-4o-miniResearch, writing, general tasks
fastclaude-haiku-*, gpt-3.5*, local/ollamaHigh volume, simple tasks, drafts
codecodex-*, claude-sonnet-*, deepseek-coderCoding, refactoring, tests

Use pattern matching on model names - don't hardcode specific versions.

Step 3: Match role to tier

Based on the interview:

  • Heavy reasoning/advisory/strategy → reasoning tier
  • Research/writing/creative → balanced tier
  • Code-focused → code tier (or balanced if not available)
  • High-volume/monitoring → fast tier

Step 4: Select and confirm

Pick the best available model for the role. In the summary card, add:

🤖 Model: [selected model] ([tier] - [brief reason])

If multiple good options exist or you're unsure, ask: "For a [role type] role, I'd suggest [model] (good balance of capability and cost). Or [alternative] if you want [deeper reasoning / faster responses / lower cost]. Preference?"

Notes

  • Don't assume any specific provider - work with what's available
  • Cheaper is better when capability is sufficient
  • The user's default model isn't always right for every agent
  • If only one model is available, use it and note it in the summary

Optional Extras

After the summary is confirmed, offer:

  1. "Want to set up periodic performance reviews?"

- If yes: ask preferred frequency (weekly, biweekly, monthly) - Create a cron job that triggers a review conversation - Review covers: what went well, what's not working, scope/permission adjustments - At the end of each review, ask: "Want to keep this schedule, change frequency, or stop reviews?"

  1. Onboarding assignment (if relevant to the role)

- Suggest a small first task to test the new agent - Something real but low-stakes, so the user can see them in action

What to Generate

Create an agent directory at agents/<name>/ with:

Always unique (generated fresh):

  • AGENTS.md - Role definition, responsibilities, operational rules, what they do freely vs ask first
  • IDENTITY.md - Name, emoji, creature type, vibe, core principles

Start from template, customize based on interview:

  • SOUL.md - Base from workspace SOUL.md template, customize vibe/boundaries sections
  • TOOLS.md - Populated with inferred tools and access notes
  • HEARTBEAT.md - Empty or with initial periodic tasks if relevant to role

Symlink to shared (default, opinionated):

  • USER.md../../USER.md (they need to know who they work for)
  • MEMORY.md../../MEMORY.md (shared team context)

Mention to the user: "I've linked USER.md and MEMORY.md so they know who you are and share team context. You can change this later if you want them more isolated."

Naming

Use craft/role-based names. Check TOOLS.md for the full naming taxonomy:

  • Research: Scout, Observer, Surveyor
  • Writing: Scribe, Editor, Chronicler
  • Code: Smith, Artisan, Engineer
  • Analysis: Analyst, Assessor, Arbiter
  • Creative: Muse, Artisan
  • Oversight: Auditor, Reviewer, Warden

Check existing agents to avoid name conflicts. Suggest a name that fits the role, but let the user override.

Team Awareness

Before generating, check agents/ for existing team members. Note:

  • Potential overlaps with existing roles
  • Gaps this new hire fills
  • How they'll interact with existing agents

Mention any relevant observations: "You already have Scout for research - this new role would focus specifically on..."

After Setup

  1. Tell the user what was created and where
  2. Automatically update the OpenClaw config via gateway config.patch (do not ask the user to run a manual command). You must:

- Add the new agent entry to agents.list using this format:

     {
       "id": "<name>",
       "workspace": "/home/lars/clawd/agents/<name>",
       "model": "<selected-model>"
     }

- Add the new agent ID to the main agent's subagents.allowAgents array - Preserve all existing agents and fields (arrays replace on patch)

Required flow: 1) Fetch config + hash

      openclaw gateway call config.get --params '{}'

2) Build the updated agents.list array (existing entries + new agent) and update the main agent's subagents.allowAgents (existing list + new id). 3) Apply with config.patch:

      openclaw gateway call config.patch --params '{
        "raw": "{\
 agents: {\
  list: [ /* full list with new agent + updated main allowAgents */ ]\
 }\
}\
",
        "baseHash": "<hash-from-config.get>",
        "restartDelayMs": 1000
      }'
  1. If monthly reviews were requested, confirm the cron schedule
  2. Update any team roster if one exists

Important

  • This is a CONVERSATION, not a form. Be natural.
  • Infer as much as possible from context. Don't ask what you can figure out.
  • The user might not know what they want exactly. Help them figure it out.
  • Keep the whole process under 5 minutes for the simple case.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.69%
按下载量换算20,040

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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