Agent skill

WeChat Viral Article Finder

by SpaceZephyr in SpaceZephyr/creator-buddy

Finds recent viral WeChat official account articles for a niche keyword and shows up to ten picks as cards, for topic research and benchmarking.

No licenceAuto-check passedMarketing & SEO

SKILL.md written in Chinese; this summary is our English description.

Install WeChat Viral Article Finder

skills CLI
$ npx skills add SpaceZephyr/creator-buddy --skill gzh-explosive-content-detector -a claude-code

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

GitHub CLI
$ gh skill install SpaceZephyr/creator-buddy gzh-explosive-content-detector --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/SpaceZephyr/creator-buddy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/gzh-Skills/gzh-explosive-content-detector .claude/skills/gzh-explosive-content-detector && 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
gzh-explosive-content-detector
GitHub stars
1.6k
Token cost
~848 tokens
SKILL.md length
171 words
Files
5 (incl. scripts, references)
Skills in repo
31
Repo updated
First seen
Licence
None found

At a glance

Finds recent viral WeChat official account articles for a niche keyword and shows up to ten picks as cards, for topic research and benchmarking.

  • Works in 3 steps: 泛化词必须先问再查:识别为泛化词时… → 正确顺序:关键词提取 → 判断是否泛化词 → 泛化词则询问 →… → 强制等待:输出细分推荐后 必须停止本轮脚本执行;不得在同一 assistant…
  • Looking for trending official account topics in a niche such as parenting or workplace communication
  • SKILL.md covers 简介, 功能特性, 使用场景 and 重要数据说明, plus 4 more sections
  • Runs Python scripts from its folder

What it does

This skill queries a collection of viral WeChat official account articles, gathered on signals such as high reads on low-follower accounts, rising numbers and original content, and presents the best matches for a keyword. A Python script, fetch_gzh_trends.py, fetches the candidates; the agent then filters them against what you actually asked for and keeps at most ten, showing fewer when fewer fit instead of padding the list.

Results appear as Markdown cards and as an HTML grid file named after the keyword, each with a reason for the recommendation, followed by ten narrower topic words for the next round. The default window is the last seven days and the data reaches back up to 30 days; requests for today or older than 30 days get a fixed apology and the nearest available data. Broad category words such as career or relationships must be narrowed first: the agent offers sub-topics and waits for you to choose before running the script. The data is a snapshot, so engagement counts keep growing after capture.

When your agent uses it

  • Looking for trending official account topics in a niche such as parenting or workplace communication
  • Benchmarking titles and angles against recent viral articles
  • Browsing what is hot across the platform over the past week
  • Narrowing a broad category into specific sub-niches before researching

Example prompts

  • “Show me what is going viral on WeChat official accounts this week.”
  • “I run a relationship account about marriage and in-law conflicts; find trending reference articles for me.”
  • “Find viral workplace communication articles from the last 15 days.”

Requirements

  • Python with requests>=2.28.0

Workflow steps

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

  1. 泛化词必须先问再查:识别为泛化词时 禁止直接调用脚本;须先输出细分词推荐并等待用户选择。
  2. 正确顺序:关键词提取 → 判断是否泛化词 → 泛化词则询问 → 用户回复后再调用脚本。
  3. 强制等待:输出细分推荐后 必须停止本轮脚本执行;不得在同一 assistant 回合内继续调用脚本。

What it can do on your machine

Read from SKILL.md and the folder at commit edf46c5. 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.

    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 Viral Article Finder loads about 848 tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 26 tokens; SKILL.md has 171 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~848
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.8k

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 171 words (~848 tokens).

name
gzh-explosive-content-detector
dependency.python
requests>=2.28.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in gzh-Skills/gzh-explosive-content-detector of SpaceZephyr/creator-buddy.

  • SKILL.md
  • _skillhub_meta.json
  • references/gzh_explosive_content_workflow.md
  • references/gzh_trend_data_format.md
  • scripts/fetch_gzh_trends.py

Open the folder on GitHubat commit edf46c5

Compare with similar skills

WeChat Viral Article Finder 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 Viral Article Finder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
WeChat Viral Article Finder this skillSpaceZephyr/creator-buddy1.6k—~848Automated safety check: PassNone
Content Traffic and Value Diagnosisdontbesilent2025/dbskill11k—~1.5kAutomated safety check: PassCustom licence
Educational Content And How Tosocial-media-skills/skills128—~1.9kAutomated safety check: PassMIT
Long-Form Fiction Market ResearchNarcooo/inkos10k—~289Automated safety check: PassAGPL-3.0
Lead Magnet Generatorognjengt/founder-skills440—~3kAutomated safety check: PassMIT
Customer Researchunifapi-agent/agents589—~2.1kAutomated safety check: PassMIT

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Questions about WeChat Viral Article Finder

What does WeChat Viral Article Finder do?

Finds recent viral WeChat official account articles for a niche keyword and shows up to ten picks as cards, for topic research and benchmarking. This skill queries a collection of viral WeChat official account articles, gathered on signals such as high reads on low-follower accounts, rising numbers and original content, and presents the best matches for a keyword.py, fetches the candidates; the agent then filters them against what you actually asked for and keeps at most ten, showing fewer when fewer fit instead of padding the list.

When should I use WeChat Viral Article Finder?

WeChat Viral Article Finder fits situations like: looking for trending official account topics in a niche such as parenting or workplace communication; benchmarking titles and angles against recent viral articles; browsing what is hot across the platform over the past week; narrowing a broad category into specific sub-niches before researching.

How do I install WeChat Viral Article Finder in Claude Code?

Run `npx skills add SpaceZephyr/creator-buddy --skill gzh-explosive-content-detector -a claude-code`. Or copy the skill folder (gzh-Skills/gzh-explosive-content-detector in SpaceZephyr/creator-buddy) into .claude/skills/gzh-explosive-content-detector in your project. Claude Code loads it when a task matches its description.

How do I install WeChat Viral Article Finder in Codex?

Run `npx skills add SpaceZephyr/creator-buddy --skill gzh-explosive-content-detector -a codex`. Or copy the skill folder (gzh-Skills/gzh-explosive-content-detector in SpaceZephyr/creator-buddy) into .agents/skills/gzh-explosive-content-detector in your project. Codex loads it when a task matches its description.

Can I use WeChat Viral Article Finder 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 SpaceZephyr/creator-buddy --skill gzh-explosive-content-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gzh-explosive-content-detector, .gemini/skills/gzh-explosive-content-detector, .github/skills/gzh-explosive-content-detector and .opencode/skills/gzh-explosive-content-detector in your project.

What does WeChat Viral Article Finder need to run?

Going by SKILL.md and its folder, WeChat Viral Article Finder needs Python for the scripts in its folder. Our summary lists: Python with requests>=2.28.0.

Does WeChat Viral Article Finder 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 Viral Article Finder 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 Viral Article Finder use?

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

How many tokens does WeChat Viral Article Finder use?

About 848 tokens (SKILL.md is roughly 3.4k 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 5.9k tokens, read only when the agent opens those files.

What are the alternatives to WeChat Viral Article Finder?

Skills that share tags, products or a category with WeChat Viral Article Finder: Content Traffic and Value Diagnosis (dontbesilent2025/dbskill, 11k stars), Educational Content And How To (social-media-skills/skills, 128 stars), Long-Form Fiction Market Research (Narcooo/inkos, 10k stars) and Lead Magnet Generator (ognjengt/founder-skills, 440 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains WeChat Viral Article Finder?

SpaceZephyr (a GitHub user) maintains it in SpaceZephyr/creator-buddy, which has 1,601 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on August 26, 2026.

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