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…
This skill helps users extract full article contents from WeChat using the BrowserAct API.
Install Wechat Article Search API Skill
$ npx skills add browser-act/skills --skill wechat-article-search-api-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install browser-act/skills wechat-article-search-api-skill --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/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/social-listening/wechat-article-search-api-skill .claude/skills/wechat-article-search-api-skill && 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-search-api-skill" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/wechat-article-search-api-skill into .claude/skills/wechat-article-search-api-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-search-api-skill", 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/browser-act/skills/tree/main/solutions/social-listening/wechat-article-search-api-skillType 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 browser-act/skills --skill wechat-article-search-api-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install browser-act/skills wechat-article-search-api-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/solutions/social-listening/wechat-article-search-api-skill .agents/skills/wechat-article-search-api-skill && 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-search-api-skill" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/wechat-article-search-api-skill into .agents/skills/wechat-article-search-api-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-search-api-skill", 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 browser-act/skills --skill wechat-article-search-api-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install browser-act/skills wechat-article-search-api-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/solutions/social-listening/wechat-article-search-api-skill .cursor/skills/wechat-article-search-api-skill && 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-search-api-skill" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/wechat-article-search-api-skill into .cursor/skills/wechat-article-search-api-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-search-api-skill", 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/browser-act/skills.git --path solutions/social-listening/wechat-article-search-api-skill--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 browser-act/skills --skill wechat-article-search-api-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install browser-act/skills wechat-article-search-api-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/solutions/social-listening/wechat-article-search-api-skill .gemini/skills/wechat-article-search-api-skill && 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-search-api-skill" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/wechat-article-search-api-skill into .gemini/skills/wechat-article-search-api-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-search-api-skill", 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 browser-act/skills wechat-article-search-api-skillInstalls 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 browser-act/skills --skill wechat-article-search-api-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/solutions/social-listening/wechat-article-search-api-skill .github/skills/wechat-article-search-api-skill && 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-search-api-skill" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/wechat-article-search-api-skill into .github/skills/wechat-article-search-api-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-search-api-skill", 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 browser-act/skills --skill wechat-article-search-api-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install browser-act/skills wechat-article-search-api-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/solutions/social-listening/wechat-article-search-api-skill .opencode/skills/wechat-article-search-api-skill && 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-search-api-skill" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/wechat-article-search-api-skill into .opencode/skills/wechat-article-search-api-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-article-search-api-skill", 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-search-api-skill- GitHub stars
- 6.1k
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 645 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 87
- Repo updated
- First seen
- Licence
- MIT
At a glance
This skill helps users extract full article contents from WeChat using the BrowserAct API.
- Works in 5 steps: No hallucinations, ensuring stable and… → No CAPTCHA issues: No need to handle… → No IP restrictions or geo-blocking: No… → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers 📖 Introduction, ✨ Features, 🔑 API Key Guidance Flow and 🛠️ Input Parameters, plus 4 more sections
- Runs Python scripts from its folder; calls python; needs BROWSERACT_API_KEY
What it does
Wechat Article Search API Skill is an agent skill from browser-act/skills. This skill helps users extract full article contents from WeChat using the BrowserAct API. The Agent should proactively apply this skill when users express needs like finding full WeChat articles for specific keywords, tracking WeChat public accounts for industry trends, extracting WeChat article contents for media research, monitoring public relations on WeChat platforms, collecting competitor updates from WeChat, getting full article body from WeChat links, monitoring brand exposure on WeChat articles…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/wechat_article_search_api.py`).
It sits in Productivity & Automation, covering Messaging and chat bots and Web scraping. It works with WeChat. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.
When your agent uses it
- Tasks that involve Messaging and chat bots
- Tasks that involve Web scraping
Example prompts
- “/wechat-article-search-api-skill”
Requirements
- Python 3
- A credential in BROWSERACT_API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- No hallucinations, ensuring stable and precise data extraction: Pre-configured workflows avoid AI-generated hallucinations.
- No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
- No IP restrictions or geo-blocking: No need to handle regional IP limitations.
- Faster execution: Task execution is faster compared to pure AI-driven browser automation solutions.
- Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of…
What it can do on your machine
Read from SKILL.md and the folder at commit 11c057b. 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
Links to these hosts (documentation or services it may open):
browseract.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
BROWSERACT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Wechat Article Search API Skill loads about 1.4k tokens when it runs. Until then it costs about 188 tokens; SKILL.md has 645 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); the scripts in this folder are not scanned.
SKILL.md
The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 645 words, ~1,434 tokens.
Download SKILL.mdSave it as
.claude/skills/wechat-article-search-api-skill/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- wechat-article-search-api-skill
- description
- This skill helps users extract full article contents from WeChat using the BrowserAct API. The Agent should proactively apply this skill when users express needs like finding full WeChat articles for specific keywords, tracking WeChat public accounts for industry trends, extracting WeChat article contents for media research, monitoring public relations on WeChat platforms, collecting competitor updates from WeChat, getting full article body from WeChat links, monitoring brand exposure on WeChat articles, retrieving structured WeChat data for sentiment analysis, summarizing daily news from WeChat, getting author and publication date for WeChat articles, or automating WeChat content extraction without scraping.
WeChat Article Search API
📖 Introduction
This skill provides users with automated WeChat article extraction through the BrowserAct WeChat Article Search API template. It allows for the direct extraction of full-content, structured WeChat articles based on keyword searches. Simply provide search keywords and optional date filters, and you can obtain comprehensive article data including the full body text.
✨ Features
- No hallucinations, ensuring stable and precise data extraction: Pre-configured workflows avoid AI-generated hallucinations.
- No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
- No IP restrictions or geo-blocking: No need to handle regional IP limitations.
- Faster execution: Task execution is faster compared to pure AI-driven browser automation solutions.
- Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens.
🔑 API Key Guidance Flow
Before running, check the BROWSERACT_API_KEY environment variable. If not set, do not take other actions; request and wait for the user to provide it.
The Agent must inform the user:
"Since you have not configured the BrowserAct API Key, please go to the BrowserAct Console to get your Key."
🛠️ Input Parameters
When invoking the script, the Agent should flexibly configure the following parameters based on user needs:
keywords (Search Keywords)
- Type:
string - Description: Search keywords used to find WeChat articles. Can be an industry term, topic, or specific phrase.
- Example:
openclaw,AI agent,browser automation
- Type:
Date_limit (Extraction Limit)
- Type:
number - Description: Maximum number of articles to extract. For the first run, a smaller default value is recommended.
- Default Value:
10 - Suggestions: Use
5to10for quick testing, larger numbers for batch research.
- Type:
publication_date (Publication Date Filter)
- Type:
string - Description: Filter articles by their publication date.
- Example:
3月11日,March 10,2026-03-11
- Type:
🚀 Invocation Method
The Agent should execute the following independent script to achieve "one command, direct results":
# Example invocation
python -u ./scripts/wechat_article_search_api.py "keywords" limit "publication_date"⏳ Run Status Monitoring
Because this task involves automated browser operations, it may take a long time (several minutes). While running, the script will continuously output timestamped status logs (e.g., [14:30:05] Task Status: running).
Agent Instructions:
- Keep monitoring the terminal output while waiting for the script to return results.
- As long as the terminal continues to output new status logs, it means the task is running normally; do not misjudge it as deadlocked or unresponsive.
- Only consider triggering the retry mechanism if the status remains unchanged for a long time, or the script stops outputting without returning results.
Show full SKILL.md (242 more words)Show less
📊 Output Data Explanation
Upon successful execution, the script will parse and print the results directly from the API response. The results include:
url_link: Original article URLpublication_date: Article publication dateauthor: Article author or publishing account nameimage_url: Main image URL or article cover image URLbody_content: Full body content of the articletitle: Full article title
⚠️ Error Handling & Retry
During script execution, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:
Check the output content:
- If the output contains
"Invalid authorization", it means the API Key is invalid or expired. In this case, do not retry; guide the user to re-check and provide the correct API Key. - If the output does not contain
"Invalid authorization"but the task fails (e.g., output starts withError:or returns an empty result), the Agent should automatically try to execute the script one more time.
- If the output contains
Retry limit:
- Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.
🌟 Typical Use Cases
- Content Monitoring: Track mentions of specific brands or topics across WeChat articles.
- Media Research: Analyze full text of articles published by top WeChat accounts.
- Trend Tracking: Collect articles about rising industry trends (e.g., AI agents) for comprehensive reading.
- Knowledge Base Building: Extract deep-dive articles into an internal repository.
- Competitor Analysis: Review full-length posts released by competitor accounts.
© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in solutions/social-listening/wechat-article-search-api-skill of browser-act/skills.
- SKILL.md
- scripts/wechat_article_search_api.py
Open the folder on GitHubat commit 11c057b
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in browser-act/skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Wechat Article Search API Skill 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 Search API Skill this skillbrowser-act/skills | 6.1k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| She Love Me863401402/she-love-me | 914 | 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 | |
| Wechat Mp Writerth3ee9ine/wechat-claw-skill | 206 | — | ~1.4k | Automated safety check: Pass | MIT |
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Works with
Categories
Questions about Wechat Article Search API Skill
What does Wechat Article Search API Skill do?
This skill helps users extract full article contents from WeChat using the BrowserAct API. Wechat Article Search API Skill is an agent skill from browser-act/skills. This skill helps users extract full article contents from WeChat using the BrowserAct API.
When should I use Wechat Article Search API Skill?
Wechat Article Search API Skill fits situations like: tasks that involve Messaging and chat bots; tasks that involve Web scraping.
How do I install Wechat Article Search API Skill in Claude Code?
Run `npx skills add browser-act/skills --skill wechat-article-search-api-skill -a claude-code`. Or copy the skill folder (solutions/social-listening/wechat-article-search-api-skill in browser-act/skills) into .claude/skills/wechat-article-search-api-skill in your project. Claude Code loads it when a task matches its description.
How do I install Wechat Article Search API Skill in Codex?
Run `npx skills add browser-act/skills --skill wechat-article-search-api-skill -a codex`. Or copy the skill folder (solutions/social-listening/wechat-article-search-api-skill in browser-act/skills) into .agents/skills/wechat-article-search-api-skill in your project. Codex loads it when a task matches its description.
Can I use Wechat Article Search API Skill 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 browser-act/skills --skill wechat-article-search-api-skill -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-api-skill, .gemini/skills/wechat-article-search-api-skill, .github/skills/wechat-article-search-api-skill and .opencode/skills/wechat-article-search-api-skill in your project.
What does Wechat Article Search API Skill need to run?
Going by SKILL.md and its folder, Wechat Article Search API Skill needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named BROWSERACT_API_KEY. Our summary lists: Python 3; A credential in BROWSERACT_API_KEY.
Does Wechat Article Search API Skill access the network?
SKILL.md names 1 domain. As links in the text: browseract.com. This is read from the text; nothing was executed.
Is Wechat Article Search API Skill 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 API Skill use?
Wechat Article Search API Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Wechat Article Search API Skill use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Search API Skill?
Skills that share tags, products or a category with Wechat Article Search API Skill: She Love Me (863401402/she-love-me, 914 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 Search API Skill?
browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,108 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.
Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.