She Love Me
863401402/she-love-me
Acquire, import, and analyze WeChat or QQ chat histories, including installing supported exporters, guiding required login or contact selection, converting exports, assessing relationship dynamics…
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。
Install Wechat Article Extractor
$ npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhuzhaoyun/Molio wechat-article-extractor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/wechat-article-extractor .claude/skills/wechat-article-extractor && rm -rf skills-srcUse ~/.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/
Install the "wechat-article-extractor" agent skill from https://github.com/zhuzhaoyun/Molio/tree/main/apps/daemon/src/tools/skills/wechat-article-extractor into .claude/skills/wechat-article-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-extractor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zhuzhaoyun/Molio/tree/main/apps/daemon/src/tools/skills/wechat-article-extractorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhuzhaoyun/Molio wechat-article-extractor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhuzhaoyun/Molio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/apps/daemon/src/tools/skills/wechat-article-extractor .agents/skills/wechat-article-extractor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wechat-article-extractor" agent skill from https://github.com/zhuzhaoyun/Molio/tree/main/apps/daemon/src/tools/skills/wechat-article-extractor into .agents/skills/wechat-article-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-extractor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhuzhaoyun/Molio wechat-article-extractor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhuzhaoyun/Molio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/apps/daemon/src/tools/skills/wechat-article-extractor .cursor/skills/wechat-article-extractor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "wechat-article-extractor" agent skill from https://github.com/zhuzhaoyun/Molio/tree/main/apps/daemon/src/tools/skills/wechat-article-extractor into .cursor/skills/wechat-article-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-extractor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zhuzhaoyun/Molio.git --path apps/daemon/src/tools/skills/wechat-article-extractor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhuzhaoyun/Molio wechat-article-extractor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhuzhaoyun/Molio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/apps/daemon/src/tools/skills/wechat-article-extractor .gemini/skills/wechat-article-extractor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "wechat-article-extractor" agent skill from https://github.com/zhuzhaoyun/Molio/tree/main/apps/daemon/src/tools/skills/wechat-article-extractor into .gemini/skills/wechat-article-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-extractor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zhuzhaoyun/Molio wechat-article-extractorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zhuzhaoyun/Molio.git skills-src && mkdir -p .github/skills && cp -r skills-src/apps/daemon/src/tools/skills/wechat-article-extractor .github/skills/wechat-article-extractor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "wechat-article-extractor" agent skill from https://github.com/zhuzhaoyun/Molio/tree/main/apps/daemon/src/tools/skills/wechat-article-extractor into .github/skills/wechat-article-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-extractor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zhuzhaoyun/Molio wechat-article-extractor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhuzhaoyun/Molio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/apps/daemon/src/tools/skills/wechat-article-extractor .opencode/skills/wechat-article-extractor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "wechat-article-extractor" agent skill from https://github.com/zhuzhaoyun/Molio/tree/main/apps/daemon/src/tools/skills/wechat-article-extractor into .opencode/skills/wechat-article-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-extractor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
wechat-article-extractor- GitHub stars
- 432
- Token cost
- ~486 tokens
- SKILL.md length
- 127 words
- Files
- 7
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
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。
- Works in 4 steps: 将 Markdown 正文暂存到… → 在暂存文件头部添加 frontmatter → 回复用户：已暂存到哪个路径，提示"回复入库/保存到知识库/归档后，我再整理进知识库" → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers ⚠️ 重要：禁止使用 WebFetch, 使用方法, 输出格式 and 错误码表, plus 2 more sections
- Runs JavaScript scripts from its folder; calls node; reaches mp.weixin.qq.com
What it does
Wechat Article Extractor is an agent skill from 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。
Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `extract.js`, `lib/converter.js` and `lib/errors.js`).
It sits in Productivity & Automation, covering 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
- Tasks that involve Messaging and chat bots
Example prompts
- “/wechat-article-extractor”
Requirements
- Node.js
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 将 Markdown 正文暂存到 raw/wechat/YYYY-MM-DD/HHmm-简短标题.md
- 在暂存文件头部添加 frontmatter
- 回复用户：已暂存到哪个路径，提示"回复入库/保存到知识库/归档后，我再整理进知识库"
- 用户确认后，按增量导入流程整理进 wiki
What it can do on your machine
Read from SKILL.md and the folder at commit b2c9973. 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
Ships script files (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
node
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
mp.weixin.qq.com
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
Wechat Article Extractor loads about 486 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 127 words of instructions outside code blocks.
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 127 words (~486 tokens).
- name
- wechat-article-extractor
- version
- 1.0.0
Files
SKILL.md and 6 other files in apps/daemon/src/tools/skills/wechat-article-extractor of zhuzhaoyun/Molio.
- SKILL.md
- extract.js
- lib/converter.js
- lib/errors.js
- lib/fetch.js
- lib/parser.js
- package.json
Open the folder on GitHubat commit b2c9973
Compare with similar skills
Wechat Article Extractor 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Wechat Article Extractor this skillzhuzhaoyun/Molio | 432 | — | ~486 | Automated safety check: Pass | Custom licence | |
| She Love Me863401402/she-love-me | 919 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Wechat Article Extractorfreestylefly/wechat-article-extractor-skill | 136 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Wechat Miniprogram Builderchenjin-cmd/wechat-miniprogram-builder | 355 | — | ~634 | Automated safety check: Pass | MIT | |
| Skill Wechat PublisherZJU-REAL/Easel | 3.2k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Web To Markdownrookie-ricardo/erduo-skills | 935 | — | ~894 | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Wechat Article Extractor
What does Wechat Article Extractor do?
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。. Wechat Article Extractor is an agent skill from zhuzhaoyun/Molio.
When should I use Wechat Article Extractor?
Wechat Article Extractor fits situations like: tasks that involve Messaging and chat bots.
How do I install Wechat Article Extractor in Claude Code?
Run `npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a claude-code`. Or copy the skill folder (apps/daemon/src/tools/skills/wechat-article-extractor in zhuzhaoyun/Molio) into .claude/skills/wechat-article-extractor in your project. Claude Code loads it when a task matches its description.
How do I install Wechat Article Extractor in Codex?
Run `npx skills add zhuzhaoyun/Molio --skill wechat-article-extractor -a codex`. Or copy the skill folder (apps/daemon/src/tools/skills/wechat-article-extractor in zhuzhaoyun/Molio) into .agents/skills/wechat-article-extractor in your project. Codex loads it when a task matches its description.
Can I use Wechat Article Extractor 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 wechat-article-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wechat-article-extractor, .gemini/skills/wechat-article-extractor, .github/skills/wechat-article-extractor and .opencode/skills/wechat-article-extractor in your project.
What does Wechat Article Extractor need to run?
Going by SKILL.md and its folder, Wechat Article Extractor needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js.
Does Wechat Article Extractor access the network?
SKILL.md names 1 domain. In commands or code: mp.weixin.qq.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Wechat Article Extractor 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 Wechat Article Extractor use?
Wechat Article Extractor 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 Wechat Article Extractor use?
About 486 tokens (SKILL.md is roughly 1.9k 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 Wechat Article Extractor?
Skills that share tags, products or a category with Wechat Article Extractor: She Love Me (863401402/she-love-me, 919 stars), Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars), Wechat Miniprogram Builder (chenjin-cmd/wechat-miniprogram-builder, 355 stars) and Skill Wechat Publisher (ZJU-REAL/Easel, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wechat Article Extractor?
zhuzhaoyun (a GitHub user) maintains it in zhuzhaoyun/Molio, which has 432 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 8, 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.