Agent skill

WeChat Hot Article Analysis

by SpaceZephyr in SpaceZephyr/creator-buddy

Fetches hot WeChat Official Account articles by sector or keywords and produces a data file and an HTML report with rankings, style patterns and writing references.

No licenceAuto-check passedWriting & Content

Install WeChat Hot Article Analysis

skills CLI
$ npx skills add SpaceZephyr/creator-buddy --skill baokuan-article-analysis -a claude-code

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

GitHub CLI
$ gh skill install SpaceZephyr/creator-buddy baokuan-article-analysis --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/baokuan-article-analysis .claude/skills/baokuan-article-analysis && 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
baokuan-article-analysis
GitHub stars
1.6k
Token cost
~847 tokens
SKILL.md length
318 words
Files
4 (incl. scripts, references)
Skills in repo
31
Repo updated
First seen
Licence
None found

At a glance

Fetches hot WeChat Official Account articles by sector or keywords and produces a data file and an HTML report with rankings, style patterns and writing references.

  • Works in 6 steps: Identify sectors and keywords from the… → If the user only gives broad sectors,… → Run scripts/daily_sector_trends.py. → …
  • Researching what is trending in a topic area on WeChat Official Accounts
  • SKILL.md covers Overview, Quick Start, Workflow and Script Options, plus 2 more sections
  • Runs Python scripts from its folder; calls python3

What it does

A bundled Python script queries a hot-article data source, merges keywords by sector, removes duplicates, ranks the articles and writes data.json plus report.html. The report has KPI cards, bar charts, ranked article cards, writing style analysis, reasons the articles took off and writing references; the HTML file, not Markdown, is the main deliverable.

Sectors come from the request, from custom sector arguments or from a JSON config such as the bundled default-sectors.json. Options set the lookback window (seven days by default), an explicit start date, items per sector (ten by default), the output directory and the report date. The agent then summarizes the top-read and top-shared articles, style patterns, and title and topic formulas. The data is hot-list data for sectors or keywords, not the full history of one account.

When your agent uses it

  • Researching what is trending in a topic area on WeChat Official Accounts
  • Finding title and topic patterns from highly read articles
  • Collecting writing references before drafting an article

Example prompts

  • “Analyze hot WeChat articles in the AI Agent sector from the last week.”
  • “Run the default sectors and give me the path to report.html.”
  • “Compare title patterns for the AI Agent and Skill sectors over seven days.”

Requirements

  • Python 3 to run the daily_sector_trends.py script
  • Network access to the hot-article data source

Workflow steps

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

  1. Identify sectors and keywords from the user request.
  2. If the user only gives broad sectors, use or adapt references/default-sectors.json.
  3. Run scripts/daily_sector_trends.py.
  4. Open the generated report.html.
  5. Summarize for the user
  6. Return the HTML file path as the main artifact.

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.

    Shell commands in SKILL.md call:

    • python3

    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 Hot Article Analysis loads about 847 tokens when it runs, and up to ~942 if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 318 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~847
With references · SKILL.md plus every file in references/, read only if the agent opens them
~942

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 318 words (~847 tokens).

“Use this skill to fetch hot WeChat Official Account article data by sector and generate a daily analysis report. It is for sector-level or keyword-level analysis, not exact historical scraping for one specific account.”

— opening of SKILL.md by SpaceZephyr
name
baokuan-article-analysis

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in gzh-Skills/baokuan-article-analysis of SpaceZephyr/creator-buddy.

  • SKILL.md
  • agents/openai.yaml
  • references/default-sectors.json
  • scripts/daily_sector_trends.py

Open the folder on GitHubat commit edf46c5

Compare with similar skills

WeChat Hot Article Analysis 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 Hot Article Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
WeChat Hot Article Analysis this skillSpaceZephyr/creator-buddy1.6k—~847Automated safety check: PassNone
Social Strategysocial-media-skills/skills128—~1.9kAutomated safety check: PassMIT
X Algorithm Post Writingcarson2222/skills113—~3.8kAutomated safety check: PassApache-2.0
WeChat Article Topics and Titlesaiworkskills/wechat-article-skills669—~1.3kAutomated safety check: PassApache-2.0
Content Calendar Plannerholaboss-ai/holaOS11k—~568Automated safety check: PassCustom licence
Content Opportunity Briefunifapi-agent/agents589—~2.3kAutomated safety check: PassMIT

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Works with

Questions about WeChat Hot Article Analysis

What does WeChat Hot Article Analysis do?

Fetches hot WeChat Official Account articles by sector or keywords and produces a data file and an HTML report with rankings, style patterns and writing references. html. The report has KPI cards, bar charts, ranked article cards, writing style analysis, reasons the articles took off and writing references; the HTML file, not Markdown, is the main deliverable.

When should I use WeChat Hot Article Analysis?

WeChat Hot Article Analysis fits situations like: researching what is trending in a topic area on WeChat Official Accounts; finding title and topic patterns from highly read articles; collecting writing references before drafting an article.

How do I install WeChat Hot Article Analysis in Claude Code?

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

How do I install WeChat Hot Article Analysis in Codex?

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

Can I use WeChat Hot Article Analysis 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 baokuan-article-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/baokuan-article-analysis, .gemini/skills/baokuan-article-analysis, .github/skills/baokuan-article-analysis and .opencode/skills/baokuan-article-analysis in your project.

What does WeChat Hot Article Analysis need to run?

Going by SKILL.md and its folder, WeChat Hot Article Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3 to run the daily_sector_trends.py script; Network access to the hot-article data source.

Does WeChat Hot Article Analysis 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 Hot Article Analysis 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 Hot Article Analysis use?

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

How many tokens does WeChat Hot Article Analysis use?

About 847 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 95 tokens, read only when the agent opens those files.

What are the alternatives to WeChat Hot Article Analysis?

Skills that share tags, products or a category with WeChat Hot Article Analysis: Social Strategy (social-media-skills/skills, 128 stars), X Algorithm Post Writing (carson2222/skills, 113 stars), WeChat Article Topics and Titles (aiworkskills/wechat-article-skills, 669 stars) and Content Calendar Planner (holaboss-ai/holaOS, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains WeChat Hot Article Analysis?

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.