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Agent Skill · 研究检索

random-thought(随意的想法)

random-thought 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。

random-thought 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 14,206。

总安装 8,739周安装 357GitHub Stars 公开资料未说明下载 2,799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:random-thought(随意的想法)
来源仓库:https://github.com/jeremyknows/random-thought
安装命令:
openclaw skills install random-thought
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 random-thought

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。

从语料库中随机选取文件并生成反思性观察记录。random-thought 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合在 OpenClaw 中用于工作区自主反思与知识沉淀。可配置语料库路径与输出格式,支持半完成内容追踪。安装前建议确认权限范围、维护状态及是否触发文件读取。

结果用于内部参考,不建议直接对外引用或断言。

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 random-thought;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

random-thought 怎么安装?

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

random-thought 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。

random-thought 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。

random-thought 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。

random-thought 用的人多吗?

公开数据是累计安装 8,739 次,近一周安装 357 次,下载 2,799 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。

random-thought 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 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

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
random-thought

随意的想法 · 本页

8,739—只读MIT-0有提醒

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
random-thought
description
>
license
MIT
metadata
author
jeremyknows
version
1.0.0

Random Thought

A thinking engine that reads your workspace and writes about what it finds — not summaries, not status updates, but genuine reflection on what's unresolved, alive, or worth questioning.

Two Stages

Writer

Pick a random file from the corpus, read it, write a reflective observation, and deliver it.

Curator

Read all recent Writer outputs, synthesize patterns, classify observations using configurable action tags, and produce a digest.

Quick Start

Manual invocation

Run the writer for a single reflection:

bash scripts/corpus-pick.sh        # see what file gets selected
# Then the agent reads the file and writes a reflection

Cron-driven (recommended)

Wire two cron jobs — the writer runs frequently, the curator runs periodically:

# Writer: every hour
0 * * * *   openclaw skill run random-thought --stage writer

# Curator: daily at a quiet hour
0 5 * * *   openclaw skill run random-thought --stage curator

Each cron invocation runs in an isolated session — no context bleed between runs.

Configuration

Create random-thought.config.json in your workspace root (all fields optional):

{
  "corpus": {
    "watchDirs": ["."],
    "excludePatterns": [
      "node_modules", ".git", ".next", "dist", "build",
      "venv", "__pycache__", "*.png", "*.jpg", "*.gif",
      "*.mp3", "*.ogg", "*.pdf", "*.zip", "*.env",
      "*.pem", "*.key", "package-lock.json", "*.lock"
    ],
    "minFileSize": "100c",
    "maxFileSize": "500k"
  },
  "freshness": {
    "enabled": true,
    "days": 7,
    "historyFile": ".random-thought-history"
  },
  "actionTags": [
    { "name": "you-decide", "description": "Needs human judgment" },
    { "name": "agent-execute", "description": "Agent can act autonomously" },
    { "name": "spark", "description": "Interesting but no action needed" }
  ],
  "output": {
    "dir": "random-thought-output",
    "digestFormat": "markdown"
  }
}

Configuration Reference

  • corpus.watchDirs — Directories to scan (relative to workspace). Default: ["."]
  • corpus.excludePatterns — Glob patterns to exclude. Sensible defaults included.
  • freshness.enabled — Prevent revisiting files within N days. Default: true
  • freshness.days — Cooldown period per file. Default: 7
  • freshness.historyFile — Where to track visited files. Default: .random-thought-history
  • actionTags — Labels the Curator uses to classify observations. Override to match your workflow.
  • output.dir — Where digests are written. Default: random-thought-output/

Writer Stage

What it does

  1. Run scripts/corpus-pick.sh to select a random file (respecting freshness gate)
  2. Read the selected file (up to 200 lines if large)
  3. Write a reflective observation — not a summary, not a review. Follow the thread wherever it leads.
  4. Deliver the output (post to configured channel, write to file, or return to caller)

Writer output format

  • First line: 📂 [absolute path of the file selected in step 1]
  • Blank line
  • Flowing prose. No bullets. No headers. No preamble.
  • Follow what's unresolved, surprising, half-finished, or alive.
  • Make connections to other things in the workspace if they surface naturally.
  • Last line: 🖊️ *Writer*

Avoid these crutches

The Writer should push past generic phrasing:

  • "quietly elegant" / "speaks to something deeper" / "testament to" / "tapestry"
  • "there's something almost [adjective] about"
  • "beautiful in its simplicity"

Concrete observations beat ornamental ones.

Curator Stage

What it does

  1. Read all Writer outputs from the configured period (default: last 24 hours)
  2. Classify each observation using configured action tags
  3. Identify recurring themes or convergent patterns across observations
  4. Write a structured digest to output.dir/YYYY-MM-DD.md

Digest format

# Random Thought Digest — YYYY-MM-DD

## Action Items
### you-decide
- [observation summary] — [why it needs human judgment]

### agent-execute
- [observation summary] — [what the agent should do]

## Patterns
[Recurring themes across today's observations — what's converging?]

## Sparks
- [Interesting observations with no action needed]

Curator guidelines

  • Classify every observation into exactly one action tag
  • Surface theme convergence — if multiple observations point at the same gap, name it explicitly
  • Keep the digest scannable — each item should be one line with context
  • Do NOT re-surface items from previous digests unless they've evolved

Scripts

scripts/corpus-pick.sh

Selects a random file from the corpus, respecting the freshness gate.

Usage: bash scripts/corpus-pick.sh [workspace_root] [config_path]

  • Reads configuration from random-thought.config.json if present
  • Falls back to sensible defaults if no config exists
  • Records selected file to the history file for freshness tracking
  • Outputs the absolute path of the selected file

scripts/freshness-gate.sh

Manages the file visit history for the freshness gate.

Usage:

  • bash scripts/freshness-gate.sh check <file> [config_path] — exits 0 if file is fresh (OK to visit), 1 if recently visited
  • bash scripts/freshness-gate.sh record <file> [config_path] — records a file visit
  • bash scripts/freshness-gate.sh prune [config_path] — removes entries older than the configured window

References

  • architecture.md — Design rationale: why two stages, why cron-driven isolation matters, the hybrid skill+cron model. Read when customizing the pipeline or understanding trade-offs.

平台分布

OpenClaw

81.18%
按下载量换算2,272

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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