Agent skill

Wiki Ingest

by zhuzhaoyun in zhuzhaoyun/Molio

将源文件/资料增量导入(入库)到现有 wiki,使知识持续积累和演进。读取源文件,生成或更新 source 摘要页与实体/概念/对比等页面,建立交叉链接,检测矛盾,更新分层 INDEX/log/hot(旧单索引库首次入库时自动升级为分层索引)。支持显式文件路径、URL、或无显式目标时自动找最近 raw/wechat 暂存资料。Triggers on: 入库, 导入, 整理进知识库…

Custom licenceAuto-check passedKnowledge Management

Install Wiki Ingest

skills CLI
$ npx skills add zhuzhaoyun/Molio --skill wiki-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zhuzhaoyun/Molio wiki-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zhuzhaoyun/Molio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/apps/daemon/src/tools/skills/wiki-ingest .claude/skills/wiki-ingest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wiki-ingest
GitHub stars
433
Token cost
~1.5k tokens
SKILL.md length
376 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
Custom licence

At a glance

将源文件/资料增量导入(入库)到现有 wiki,使知识持续积累和演进。读取源文件,生成或更新 source 摘要页与实体/概念/对比等页面,建立交叉链接,检测矛盾,更新分层 INDEX/log/hot(旧单索引库首次入库时自动升级为分层索引)。支持显式文件路径、URL、或无显式目标时自动找最近 raw/wechat 暂存资料。Triggers on: 入库, 导入, 整理进知识库…

  • Works in 3 steps: place 用 --append 模式(增量追加,不全量重写 INDEX) → curation 只选与本次相关的候选:ingest… → 增量融合:新页面必须与现有 wiki 页面建立反向链接、检测矛盾(>…
  • Add this to the wiki
  • SKILL.md covers 核心原则, Vault 结构, Frontmatter 规范 and Hot Cache, plus 6 more sections
  • Calls node

What it does

Wiki Ingest is an agent skill from zhuzhaoyun/Molio. 将源文件/资料增量导入(入库)到现有 wiki,使知识持续积累和演进。读取源文件,生成或更新 source 摘要页与实体/概念/对比等页面,建立交叉链接,检测矛盾,更新分层 INDEX/log/hot(旧单索引库首次入库时自动升级为分层索引)。支持显式文件路径、URL、或无显式目标时自动找最近 raw/wechat 暂存资料。Triggers on: 入库, 导入, 整理进知识库, 保存到知识库, 归档这个文件, ingest, add this to the wiki, process this source, 把这个文件加入 wiki, read and file this.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering LLM wikis and Messaging and chat bots. It works with WeChat. The repository describes itself as: A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

When your agent uses it

  • Add this to the wiki
  • Process this source
  • Read and file this

Example prompts

  • “/wiki-ingest”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. place 用 --append 模式(增量追加,不全量重写 INDEX)
  2. curation 只选与本次相关的候选:ingest 是增量入库,curation 审核时只保留与新源文件相关的候选行(已有 wiki 覆盖的不重建)。不要求全量处理——剩余留待后续 ingest。
  3. 增量融合:新页面必须与现有 wiki 页面建立反向链接、检测矛盾(> [!contradiction] callout)——这是 ingest 独有的要求,build 不需要。

What it can do on your machine

Read from SKILL.md and the folder at commit fd68232. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wiki Ingest loads about 1.5k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 376 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 376 words (~1,516 tokens).

name
wiki-ingest
version
2.1.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in apps/daemon/src/tools/skills/wiki-ingest of zhuzhaoyun/Molio.

Open the folder on GitHubat commit fd68232

Compare with similar skills

Wiki Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wiki Ingest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wiki Ingest this skillzhuzhaoyun/Molio433—~1.5kAutomated safety check: PassCustom licence
Content ExtractaAAaqwq/AGI-Super-Team1051 repos~650Automated safety check: PassMIT
Wechat To Notebooklmzstmfhy/wechat-to-notebooklm103—~1.8kAutomated safety check: PassMIT
Greenbubbles Personal Memorybojieli/greenbubbles365—~669Automated safety check: PassMIT
Content CollectorLeoYeAI/openclaw-master-skills2.2k—~4.8kAutomated safety check: PassMIT
Karpathy LLM WikiAstro-Han/karpathy-llm-wiki2.5k—~3.6kAutomated safety check: PassMIT

Similar skills

  • Content Extract

    aAAaqwq/AGI-Super-Team

    Robust URL-to-Markdown extraction for OpenClaw workflows. An agent skill from aAAaqwq/AGI-Super-Team.

    105 GitHub starsUsed in 1 repo~650 tokens
    Knowledge ManagementAuto-check passed
  • Wechat To Notebooklm

    zstmfhy/wechat-to-notebooklm

    WeChat article to NotebookLM sync tool. An agent skill from zstmfhy/wechat-to-notebooklm.

    103 GitHub stars~1.8k tokensUpdated 8 mo ago
    Knowledge ManagementAuto-check passed
  • Greenbubbles Personal Memory

    bojieli/greenbubbles

    Build or revise private, cited Markdown notes from the user's WeChat history in the current agent session.

    365 GitHub stars~669 tokensUpdated 7 days ago
    Knowledge ManagementAuto-check passed
  • Content Collector

    LeoYeAI/openclaw-master-skills

    Automatically collect and archive content from shared links in group chats.

    2.2k GitHub stars~4.8k tokensUpdated 2 mo ago
    Knowledge ManagementAuto-check passed
  • Karpathy LLM Wiki

    Astro-Han/karpathy-llm-wiki

    A skill your agent uses when building or maintaining a personal LLM-powered knowledge base.

    2.5k GitHub stars~3.6k tokensUpdated 2 mo ago
    Knowledge ManagementAuto-check passed
  • LLM Wiki

    lewislulu/llm-wiki-skill

    Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers…

    655 GitHub stars~3.7k tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed

More from zhuzhaoyun/Molio

All 8 skills in this repo
  • Wiki Build

    zhuzhaoyun/Molio

    构建/重建本地知识库的 Wiki。扫描 vault 中所有源文件,从中构建一个结构化的 wiki(源文件摘要、实体、概念、对比、概述页),创建分层 INDEX(根索引 + 各目录索引)/log/hot,密集交叉链接。支持超长源文件(百万字级小说等):prep.mjs 确定性预处理 + 分层 digest 构建 + 断点续传。也能把旧单索引库的索引重构为分层布局。Triggers on: 构建…

    433 GitHub stars~3k tokensUpdated today
    Auto-check passed
  • Remotion

    zhuzhaoyun/Molio

    Molio's builtin skill for MAKING a video from any source — wiki notes, articles, scripts, product info, or a brief — and rendering it to MP4.

    433 GitHub stars~4k tokensUpdated today
    Auto-check passed
  • Wiki Lint

    zhuzhaoyun/Molio

    对本地知识库的 Wiki 做健康检查/质量审查。查孤立页、断链、断引用、frontmatter 缺失、空段落、内容矛盾、过时内容、INDEX 偏差、知识缺口,生成 lint 报告并给出补充方向建议。Triggers on: 健康检查, 检查 wiki 健康状况, lint, clean up wiki, wiki 维护, check the wiki, wiki audit, find…

    433 GitHub stars~855 tokensUpdated today
    Auto-check passed
  • Wiki Save

    zhuzhaoyun/Molio

    将当前对话中有价值的内容归档为 wiki 页面,使知识持续积累。回顾对话,判断哪些内容值得归档(concept/comparison/question/session/entity),创建带完整 frontmatter 和交叉链接的归档页面,更新分层 INDEX/log/hot(旧单索引库首次归档时自动升级为分层索引)。Triggers on: 归档, 保存为 wiki 页面, save…

    433 GitHub stars~704 tokensUpdated today
    Auto-check passed
  • Docling

    zhuzhaoyun/Molio

    PRIMARY skill for converting .pdf, .docx, .pptx, .xlsx, .doc, .ppt, .xls, images, and audio/video files (.mp3, .wav, .m4a, .mp4, .mov, etc.) to Markdown.

    433 GitHub stars~2.6k tokensUpdated today
    Auto-check passed
  • Wechat Article Extractor

    zhuzhaoyun/Molio

    提取微信公众号文章(mp.weixin.qq.com)内容为 Markdown。遇到 mp.weixin.qq.com 链接时使用此 skill,禁止使用 WebFetch。

    433 GitHub stars~486 tokensUpdated today
    Auto-check passed

Works with

Questions about Wiki Ingest

What does Wiki Ingest do?

将源文件/资料增量导入(入库)到现有 wiki,使知识持续积累和演进。读取源文件,生成或更新 source 摘要页与实体/概念/对比等页面,建立交叉链接,检测矛盾,更新分层 INDEX/log/hot(旧单索引库首次入库时自动升级为分层索引)。支持显式文件路径、URL、或无显式目标时自动找最近 raw/wechat 暂存资料。Triggers on: 入库, 导入, 整理进知识库…. Wiki Ingest is an agent skill from zhuzhaoyun/Molio. 将源文件/资料增量导入(入库)到现有 wiki,使知识持续积累和演进。读取源文件,生成或更新 source 摘要页与实体/概念/对比等页面,建立交叉链接,检测矛盾,更新分层 INDEX/log/hot(旧单索引库首次入库时自动升级为分层索引)。支持显式文件路径、URL、或无显式目标时自动找最近 raw/wechat 暂存资料。Triggers on: 入库, 导入, 整理进知识库, 保存到知识库, 归档这个文件, ingest, add this to the wiki, process this source, 把这个文件加入 wiki, read and file this.

When should I use Wiki Ingest?

Wiki Ingest fits situations like: add this to the wiki; process this source; read and file this.

How do I install Wiki Ingest in Claude Code?

Run `npx skills add zhuzhaoyun/Molio --skill wiki-ingest -a claude-code`. Or copy the skill folder (apps/daemon/src/tools/skills/wiki-ingest in zhuzhaoyun/Molio) into .claude/skills/wiki-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Wiki Ingest in Codex?

Run `npx skills add zhuzhaoyun/Molio --skill wiki-ingest -a codex`. Or copy the skill folder (apps/daemon/src/tools/skills/wiki-ingest in zhuzhaoyun/Molio) into .agents/skills/wiki-ingest in your project. Codex loads it when a task matches its description.

Can I use Wiki Ingest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zhuzhaoyun/Molio --skill wiki-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wiki-ingest, .gemini/skills/wiki-ingest, .github/skills/wiki-ingest and .opencode/skills/wiki-ingest in your project.

What does Wiki Ingest need to run?

Going by SKILL.md and its folder, Wiki Ingest needs the command-line tools its instructions call (node).

Does Wiki Ingest access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wiki Ingest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wiki Ingest use?

Wiki Ingest has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Wiki Ingest use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wiki Ingest?

Skills that share tags, products or a category with Wiki Ingest: Content Extract (aAAaqwq/AGI-Super-Team, 105 stars), Wechat To Notebooklm (zstmfhy/wechat-to-notebooklm, 103 stars), Greenbubbles Personal Memory (bojieli/greenbubbles, 365 stars) and Content Collector (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wiki Ingest?

zhuzhaoyun (a GitHub user) maintains it in zhuzhaoyun/Molio, which has 433 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 10, 2026.

Source: zhuzhaoyun/Molio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.