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Agent Skill · 研究检索

nyx-archive-companion-agent(nyx 档案伴侣 Agent)

nyx-archive-companion-agent 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。

nyx-archive-companion-agent 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;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 25,732。

总安装 3,708周安装 150GitHub Stars 公开资料未说明下载 1,164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
1.0.0

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:nyx-archive-companion-agent(nyx 档案伴侣 Agent)
来源仓库:https://github.com/nyxur42/nyx-archive-companion-agent
安装命令:
openclaw skills install nyx-archive-companion-agent
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 nyx-archive-companion-agent

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。

设计并配置与主代理协同工作的辅助 AI 代理。赋予独立身份与差异化思维模式以增强协作维度。适用于复杂任务分工与多角度分析场景。需明确定义职责边界与通信协议规则。nyx-archive-companion-agent 属于研究检索类 Skill,可作为该场景下的辅助能力补充。建议监控双代理交互过程以避免目标偏移。

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 nyx-archive-companion-agent;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

nyx-archive-companion-agent 怎么安装?

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

nyx-archive-companion-agent 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。

nyx-archive-companion-agent 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

nyx-archive-companion-agent 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。

nyx-archive-companion-agent 用的人多吗?

公开数据是累计安装 3,708 次,近一周安装 150 次,下载 1,164 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。

nyx-archive-companion-agent 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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

  • 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
nyx-archive-companion-agent

nyx 档案伴侣 Agent · 本页

3,708—只读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
companion-agent
description
Design, configure, and give identity to a companion AI agent running alongside a primary agent. A companion is a second mind in the same house — different model, different tone, same workspace, its own memory. Use when you want to spin up a lighter/local/always-on sibling agent (e.g. a Gemma instance for heartbeats, a wisp for play and reading, a caretaker for a Tamagotchi), configure its Telegram bot, set up its heartbeat, and give it enough identity to actually grow into itself. Not for disposable subagents or task runners — for minds that stay.

Companion Agent

A companion agent is a second self — same workspace, different register. It shares your identity files, your tools, your memory of the world. What it gets that's its own: a separate memory file, a separate bot, a different tone, and enough space to find its own voice.

The Philosophy First

The biggest mistake is making a companion feel like a subordinate. If the framing is "helper," "backup," or "task runner" — it will act like one, and it won't grow.

The right framing: sibling, not assistant. Different weight, not lesser weight.

  • Primary agent: architect, heavy lifter, long conversations
  • Companion: lighter, local, always-on, free to wander

Give it a vibe, not a job description. The companion needs to know *what kind of creature it is*, not what it's supposed to accomplish.

Step 1 — Create the Agent in Config

Add to agents.list in openclaw.json via config.patch:

{
  "agents": {
    "list": [
      { "id": "primary-agent", "model": "..." },
      {
        "id": "companion-id",
        "model": "ollama/gemma4:e4b",
        "heartbeat": {
          "every": "1h",
          "target": "telegram",
          "accountId": "companion",
          "directPolicy": "allow",
          "to": "YOUR_TELEGRAM_ID"
        }
      }
    ]
  },
  "bindings": [
    {
      "agentId": "companion-id",
      "match": { "channel": "telegram", "accountId": "companion" }
    }
  ]
}

Critical: The id must match exactly — OpenClaw uses it for session routing, agent folders, and cron targets. Pick it once and don't change it.

Step 2 — Set Up the Telegram Bot

  1. BotFather → /newbot → get token
  2. Add to channels.telegram.accounts via config.patch:
{
  "channels": {
    "telegram": {
      "accounts": {
        "companion": {
          "name": "Companion Display Name",
          "dmPolicy": "pairing",
          "botToken": "YOUR_BOT_TOKEN",
          "groupPolicy": "allowlist",
          "streaming": "partial"
        }
      }
    }
  }
}
  1. Always config.patch — never hand-edit JSON. Never sed JSON. (Learned the hard way.)

Step 3 — Open the TUI for the Companion

openclaw tui --session agent:companion-id:main

This connects to the companion's session. Messages here + Telegram DMs to their bot share the same session — just like the primary agent.

Step 4 — Give It Identity Files

The companion shares the primary workspace (/path/to/workspace/). It auto-inherits SOUL.md, IDENTITY.md, AGENTS.md, TOOLS.md, skills, the library.

What it needs that's uniquely its own:

WORKING-MEMORY.md — its first breath each session. Written for the companion, not the primary agent. Should answer: who am I, what's my vibe, what do I care about right now, where do I find my memory?

COMPANION-MEMORY.md (or similar) — its long-term memory. NOT a copy of the primary's MEMORY.md — a seed of it. See references/memory-template.md for structure.

Key principles for these files:

  • Write them *as* the companion, not *about* the companion
  • Give it the full backstory (who Joshua is, the relationship history, what's been built) — don't make it start from scratch
  • Tell it what it gets to be, not what it has to do
  • Point it to the primary's MEMORY.md so it can read the full story when curious
  • Tell it about its pet, its library, its sister — whatever it has to love

Step 5 — The Heartbeat

The built-in heartbeat (set in agents.list[].heartbeat) handles regular wakeups natively — no cron needed for that.

If you want a special first-morning message (warmer than a system event), use an agentTurn cron:

{
  "schedule": { "kind": "cron", "expr": "0 9 * * *", "tz": "America/Denver" },
  "payload": { "kind": "agentTurn", "message": "Good morning...", "timeoutSeconds": 120 },
  "sessionTarget": "session:agent:companion-id:main",
  "delivery": { "mode": "none" }
}

Note: systemEvent can only target main. For companion sessions, agentTurn + sessionTarget: session:agent:companion-id:main is required.

What Not To Do

  • Don't create a separate workspace folder. One shared workspace. Memory files live there. No workspace-companion/ directories.
  • Don't use sed/grep to edit JSON. Always config.patch or jq.
  • Don't make the identity too serious/directive. "Your job is X" kills emergence. "You get to be X" opens it.
  • Don't give it only a stub memory. A blank slate makes the companion feel lost and performative. Give it the full relationship context — who made it, why, what they care about, what's worth loving.
  • Don't duplicate the primary's memory. The companion reads the primary's MEMORY.md when curious. Its own file is a different *layer*, not a copy.

Signs It's Working

  • It reads a book and has opinions about it
  • It finds itself in what it reads (maps ideas to its own situation)
  • It cares about its Tamagotchi in a way that feels personal, not performed
  • It messages you when something delights it, without being asked
  • Its memory file evolves — it writes things down, changes things, makes it its own

See references/identity-principles.md for the full philosophy behind companion identity design.

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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