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Agent Skill · 研究检索

wiki-system(维基系统)

wiki-system 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。

wiki-system 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 12,906。

总安装 9,865周安装 403GitHub Stars 公开资料未说明下载 3,160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
1.0.9

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:wiki-system(维基系统)
来源仓库:https://github.com/dobrinalexandru/wiki-system
安装命令:
openclaw skills install wiki-system
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 wiki-system

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。

wiki-system 为 OpenClaw 代理提供编译式检索知识库,支持源码输入与结构化输出。适用于构建交叉引用的知识复合系统而非分散存储。可将原始代码或文档转化为可检索、可导航的知识页面集合。需确认是否涉及敏感代码处理及本地存储合规性要求。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 wiki-system;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

    它需要需要联网,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

wiki-system 怎么安装?

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

wiki-system 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。

wiki-system 需要什么权限?

权限级别是需要联网。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。

wiki-system 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。

wiki-system 用的人多吗?

公开数据是累计安装 9,865 次,近一周安装 403 次,下载 3,160 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。

wiki-system 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

  • 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
wiki-system

维基系统 · 本页

9,865—需要联网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
karpathy-wiki
description
Compilation-over-retrieval knowledge wiki for OpenClaw agents. Drop sources in, get structured cross-referenced pages out. Knowledge compounds instead of disappearing. Based on Andrej Karpathy's LLM Wiki pattern.

Wiki System

"The tedious part of maintaining a knowledge base is not the reading or thinking — it's the bookkeeping." — Andrej Karpathy

Most AI memory systems retrieve and forget. You ask a question, the agent fetches context, answers, and the insight vanishes into chat history. Next session, same question, same fetch, same synthesis from scratch.

This skill implements Karpathy's compilation-over-retrieval pattern (original gist): instead of fetching raw sources every time, the agent builds and maintains a structured wiki — cross-referenced markdown pages that compound knowledge over time. The human curates what goes in; the agent handles the summarization, cross-referencing, and maintenance that humans typically abandon because the overhead grows unbearably.

Three Layers

  1. Raw Sources (immutable) — PDFs, articles, papers, URLs. You drop them in, the agent reads but never modifies them.
  2. The Wiki (LLM-maintained) — structured markdown pages in memory/wiki/ with frontmatter, claims, cross-references. The agent creates, updates, and maintains these automatically.
  3. The Schema (WIKI-SCHEMA.md) — rules for structure, naming, and workflows. Co-evolves with your knowledge base.

Three Operations

  • Ingest — source goes in, agent extracts claims, creates/updates wiki pages, adds [[cross-references]] across related pages. A single source can touch multiple existing pages.
  • Query — agent checks the wiki first, synthesizes answers with citations, and optionally files gaps back to the ingestion queue. Insights compound instead of evaporating.
  • Lint — weekly health check: stale pages, broken links, orphan pages, contradictions, missing metadata. The wiki stays clean as it grows.

Compatibility

Works out of the box with

  • OpenClaw >= 2026.1.29 (only hard requirement)
  • Builtin memory backend (default) — the setup script adds memory/wiki to memorySearch.extraPaths so wiki pages are searchable via memory_search. No manual config needed.
  • Dreaming (bundled, opt-in) — wiki and dreaming coexist cleanly. Dreaming consolidates daily conversation signals into MEMORY.md; the wiki compiles external knowledge into memory/wiki/. Different inputs, different outputs, never touching each other's files. Dreaming can even queue wiki candidates to the ingestion queue — the 4AM ingest cron picks them up 90 minutes after dreaming finishes at 2:30AM.

Enhanced with (optional)

  • QMD — local search sidecar with reranking and query expansion. Recommended for wikis over ~50 pages. QMD indexes memory/**/*.md recursively, so wiki pages are auto-indexed every 10 minutes with no extra config.
  • SuperMemory — cloud memory persistence. Adding memory/wiki/index.md to the sync script lets cross-session recall know what wiki topics exist, even on different devices.
  • Embedding provider (OpenAI, Gemini, Voyage, Mistral) — enables semantic/vector search alongside keyword matching. Especially useful when wiki pages use different terminology than your queries.
  • Honcho — cross-session semantic search with user modeling. Wiki pages indexed automatically.
  • Dual-memory plugin (memory-core + SuperMemory) — if you run both backends via a composite plugin, wiki search results merge with cloud memories automatically. Best of both worlds.
  • Obsidian — the [[wikilink]] cross-references are Obsidian-compatible. Point Obsidian at memory/wiki/ to browse, visualize the knowledge graph, and follow links.

What the wiki agent never modifies

  • DREAMS.md — owned by Dreaming diary
  • memory/YYYY-MM-DD.md — owned by daily compaction
  • memory/dreaming/ — owned by Dreaming reports
  • memory/projects/active/ — owned by project workflows
  • memory/decisions.log, memory/learnings.log — owned by tracking systems
  • Your existing memory files, projects, logs — all untouched

Note: The setup script appends a wiki reference section to MEMORY.md once during installation (so the agent knows the wiki exists). After setup, the wiki system never modifies MEMORY.md again — Dreaming retains full ownership.

How It Works

You drop sources into work/wiki-sources/
        |
        v
[Wiki Ingest - cron or manual]
  Reads sources, extracts claims, creates/updates pages
        |
        v
memory/wiki/*.md (structured pages with frontmatter + cross-references)
        |
        v
[OpenClaw Memory Index]
  memory_search finds wiki pages alongside your other memory files

Wiki pages live inside memory/ so every OpenClaw memory backend indexes them automatically. No extra configuration needed.

Installation

Basic setup (directories, templates, MEMORY.md reference):

bash skills/karpathy-wiki/scripts/wiki-setup.sh

Full setup with automated cron jobs and SuperMemory cloud sync:

bash skills/karpathy-wiki/scripts/wiki-setup.sh --all --tz America/New_York

Flags:

  • --tz TIMEZONE — timezone for cron jobs (default: UTC)
  • --with-cron — create ingest (daily 4AM) and lint (Sunday 3:30AM) cron jobs
  • --with-sync — add wiki index to SuperMemory sync script (enables cloud persistence)
  • --all — enable both --with-cron and --with-sync

The basic setup creates:

  1. memory/wiki/ with index.md and log.md
  2. work/wiki-sources/ with pdfs/, articles/, papers/ subdirs
  3. WIKI-SCHEMA.md at workspace root
  4. Ingestion queue at work/wiki-sources/ingestion-queue.md
  5. Wiki reference section appended to MEMORY.md (if present)

Cron jobs and SuperMemory sync are opt-in — you control what gets automated.

Uninstall

openclaw cron delete <ingest-job-id>    # Get IDs: openclaw cron list | grep Wiki
openclaw cron delete <lint-job-id>
rm -rf memory/wiki/ work/wiki-sources/ WIKI-SCHEMA.md

Usage

Adding knowledge

During a conversation:

  1. Save the source to work/wiki-sources/
  2. Add it to work/wiki-sources/ingestion-queue.md:
   ## Pending
   - [ ] articles/my-article.md | Added 2026-04-07
   - [ ] https://example.com/paper | Added 2026-04-07
  1. Say "wiki ingest" — the agent processes the queue immediately

Trigger ingest outside a conversation:

openclaw cron run <ingest-job-id>

Automated: Cron processes up to 3 sources daily at 4AM.

Querying the wiki

The agent checks memory/wiki/index.md for relevant pages, reads them, and synthesizes answers with citations. If a question reveals a knowledge gap, it adds an entry to the ingestion queue for future research.

Manual lint

Say "wiki lint" to run a health check anytime.

Page Format

Pages use domain-prefixed kebab-case names with YAML frontmatter:

---
title: "Senolytics Overview"
domain: longevity
created: 2026-04-07
updated: 2026-04-07
sources:
  - work/wiki-sources/papers/unity-trial.pdf
tags: [senescence, aging]
confidence: high
status: active
---

# Senolytics Overview

## Summary
2-3 sentence overview.

## Key Claims
1. Claim with source attribution

## Open Questions
- Unresolved questions

## Related
- [[longevity-cellular-reprogramming]]

Domains: bio, vita, longevity, tech, ops, finance, people (customizable in WIKI-SCHEMA.md)

See skills/karpathy-wiki/templates/page-template.md for a starter.

File Layout

WIKI-SCHEMA.md                         <- Rules and conventions
memory/wiki/index.md                   <- Page catalog (<4000 tokens)
memory/wiki/log.md                     <- Activity log (append-only)
memory/wiki/{domain}-{topic}.md        <- Wiki pages
work/wiki-sources/                     <- Raw source documents
work/wiki-sources/ingestion-queue.md   <- Processing queue
skills/karpathy-wiki/scripts/            <- Ingest and lint prompts
skills/karpathy-wiki/templates/          <- Scaffold templates
skills/karpathy-wiki/references/         <- Background on the pattern

Cron Schedule

JobScheduleRecommended ModelPurpose
Wiki Ingest4:00 AM dailyReasoning-capable (e.g., Claude Sonnet, GPT-4o, Gemini Pro)Process ingestion queue — needs synthesis and cross-referencing
Wiki LintSunday 3:30 AMFast/cheap (e.g., Claude Haiku, GPT-4o-mini, Gemini Flash)Health check — mechanical validation, no creative thinking needed

Timezone configurable via --tz during setup. Ingest runs 90 minutes after Dreaming (2:30AM) to avoid conflicts. Model is set during cron creation — change anytime with openclaw cron edit <id> --model <model>.

Troubleshooting

  • Pages not searchable: openclaw memory status to check index. Try openclaw memory index --force.
  • Cron not firing: openclaw cron list for status. Restart gateway if needed.
  • Index too large: At 80+ pages, schema supports domain sub-indices. See WIKI-SCHEMA.md.
  • Dreaming conflicts: Impossible by design. Wiki and Dreaming write to different files with a 90-minute scheduling buffer.

Credits

Inspired by Andrej Karpathy's LLM Wiki pattern. Implementation adapted for OpenClaw's memory architecture with compatibility across all memory backends (builtin, QMD, Honcho), optional Dreaming integration, and SuperMemory cloud persistence.

See skills/karpathy-wiki/references/karpathy-llm-wiki.md for the full concept breakdown.

平台分布

OpenClaw

87.06%
按下载量换算2,751

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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