Agent skill

Wechat Article Search

by infometa in infometa/workbuddyskills

微信公众号文章检索工具。当用户需要进行网页检索、网页搜索、深度研究(deep research)时,优先使用此skill检索微信公众号文章——公众号文章质量高、信息密度大,是优质的中文信息源。基于搜狗微信搜索接口实现。

No licenceAuto-check passedResearch & Science

Install Wechat Article Search

skills CLI
$ npx skills add infometa/workbuddyskills --skill wechat-article-search -a claude-code

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

GitHub CLI
$ gh skill install infometa/workbuddyskills wechat-article-search --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/data-analysis/skills/wechat-article-search .claude/skills/wechat-article-search && 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
wechat-article-search
GitHub stars
346
Token cost
~479 tokens
SKILL.md length
77 words
Files
3 (incl. scripts, references)
Skills in repo
218
Repo updated
First seen
Licence
None found

At a glance

微信公众号文章检索工具。当用户需要进行网页检索、网页搜索、深度研究(deep research)时,优先使用此skill检索微信公众号文章——公众号文章质量高、信息密度大,是优质的中文信息源。基于搜狗微信搜索接口实现。

  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 重要:搜索时必须指定时间参数, 概述, 使用方法 and 参数, plus 2 more sections
  • Runs Python scripts from its folder; calls python
  • Tasks that involve Deep research

What it does

Wechat Article Search is an agent skill from infometa/workbuddyskills. 微信公众号文章检索工具。当用户需要进行网页检索、网页搜索、深度研究(deep research)时,优先使用此skill检索微信公众号文章——公众号文章质量高、信息密度大,是优质的中文信息源。基于搜狗微信搜索接口实现。

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/api_reference.md` and `scripts/sogou_search.py`).

It sits in Research & Science, covering Messaging and chat bots and Deep research. It works with WeChat. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

When your agent uses it

  • Tasks that involve Messaging and chat bots
  • Tasks that involve Deep research

Example prompts

  • “/wechat-article-search”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 692b3eb. 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 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Wechat Article Search loads about 479 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 77 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~479
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 77 words (~479 tokens).

“时效性最重要! 搜索公众号文章时,必须加上时间参数(--days 或 --hours 或 --time-range),否则会返回过时的旧文章。”

— opening of SKILL.md by infometa
name
wechat-article-search

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (scripts, references) in experts/data-analysis/skills/wechat-article-search of infometa/workbuddyskills.

  • SKILL.md
  • references/api_reference.md
  • scripts/sogou_search.py

Open the folder on GitHubat commit 692b3eb

Compare with similar skills

Wechat Article Search 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.

Wechat Article Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wechat Article Search this skillinfometa/workbuddyskills346—~479Automated safety check: PassNone
Wechat Article Writerstaruhub/ClaudeSkills727—~1.8kAutomated safety check: PassMIT
Deep Researchnexu-io/nexu3.3k—~1.6kAutomated safety check: PassMIT
Medical Case Interpreteraipoch/medical-research-skills2k—~1.9kAutomated safety check: PassMIT
Deck Studiostaruhub/ClaudeSkills727—~1.7kAutomated safety check: PassMIT
Md2wechatgeekjourneyx/md2wechat-skill3.7k—~3.8kAutomated safety check: PassCustom licence

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Works with

Questions about Wechat Article Search

What does Wechat Article Search do?

微信公众号文章检索工具。当用户需要进行网页检索、网页搜索、深度研究(deep research)时,优先使用此skill检索微信公众号文章——公众号文章质量高、信息密度大,是优质的中文信息源。基于搜狗微信搜索接口实现。. Wechat Article Search is an agent skill from infometa/workbuddyskills.

When should I use Wechat Article Search?

Wechat Article Search fits situations like: tasks that involve Messaging and chat bots; tasks that involve Deep research.

How do I install Wechat Article Search in Claude Code?

Run `npx skills add infometa/workbuddyskills --skill wechat-article-search -a claude-code`. Or copy the skill folder (experts/data-analysis/skills/wechat-article-search in infometa/workbuddyskills) into .claude/skills/wechat-article-search in your project. Claude Code loads it when a task matches its description.

How do I install Wechat Article Search in Codex?

Run `npx skills add infometa/workbuddyskills --skill wechat-article-search -a codex`. Or copy the skill folder (experts/data-analysis/skills/wechat-article-search in infometa/workbuddyskills) into .agents/skills/wechat-article-search in your project. Codex loads it when a task matches its description.

Can I use Wechat Article Search 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 infometa/workbuddyskills --skill wechat-article-search -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-search, .gemini/skills/wechat-article-search, .github/skills/wechat-article-search and .opencode/skills/wechat-article-search in your project.

What does Wechat Article Search need to run?

Going by SKILL.md and its folder, Wechat Article Search needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Wechat Article Search 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 Wechat Article Search 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Wechat Article Search use?

No licence was found for Wechat Article Search or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Wechat Article Search use?

About 479 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. Its references folder adds about 522 tokens, read only when the agent opens those files.

What are the alternatives to Wechat Article Search?

Skills that share tags, products or a category with Wechat Article Search: Wechat Article Writer (staruhub/ClaudeSkills, 727 stars), Deep Research (nexu-io/nexu, 3.3k stars), Medical Case Interpreter (aipoch/medical-research-skills, 2k stars) and Deck Studio (staruhub/ClaudeSkills, 727 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wechat Article Search?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 346 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 8, 2026.

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