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jiubanszd

creator-finder

by jiubanszd · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
227
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install xiaohongshu-creator-finder
Description
自动搜索并识别小红书平台符合关键词和粉丝评论标准的AI原创动画创作者,支持数据导出Excel或JSON。
Usage Guidance
This skill is functionally coherent for scraping 小红书, but take precautions before installing: 1) Inspect and remove config/cookies.json shipped with the skill — do not reuse unknown cookies; treat them as sensitive credentials. 2) Search the full code for any references to external endpoints (feishu, webhook URLs, requests.post/etc.) before running; if present, review what data would be sent. 3) Run first in an isolated/sandboxed environment or VM and with a throwaway 小红书 account to verify behavior. 4) If you must use your real account, delete the bundled cookies file and perform a fresh QR login so only local, user-controlled cookies are stored. 5) Consider throttling and obeying platform TOS — scraping may violate terms. 6) If you want lower risk, ask the maintainer for a version without pre-filled cookies and with explicit code comments for any external integrations. If you want, I can scan the remaining truncated portions of src/xhs_creator_finder.py for outbound network calls or feishu integration if you provide the full file.
Capability Analysis
Type: OpenClaw Skill Name: xiaohongshu-creator-finder Version: 1.0.1 The skill bundle is a legitimate web scraping tool designed to identify AI creators on the Xiaohongshu platform. It uses Playwright for browser automation and includes a well-documented 'checkpoint' mechanism in `src/xhs_creator_finder.py` and `docs/使用说明书.md` to handle execution timeouts by saving progress to `output/checkpoint.json`. The code focuses on data extraction and local storage (Excel/JSON), with no evidence of data exfiltration, malicious command execution, or prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description match the code: it uses Playwright to open Chrome, log in (QR scan or cookies), search 小红书 and export results. The included dependencies and setup commands are appropriate for a browser scraper. One oddity: the release bundles a config/cookies.json containing session tokens — while cookies are functionally related (used to authenticate), shipping pre-filled cookies in a skill package from an unknown source is unexpected.
Instruction Scope
SKILL.md explicitly instructs opening Chrome, scanning QR to log in, and saving cookies; the code implements cookie loading/saving, checkpointing, and file exports. The instructions write data to local output/ and persist checkpoint and cookies; they do not (in the provided code) call external endpoints other than xiaohongshu.com. The skill therefore stays within its scraping purpose, but it has broad discretion to read/write local files (cookies, checkpoint, outputs).
Install Mechanism
No remote arbitrary download/install is present; dependencies are standard Python packages (playwright, pandas, openpyxl) and skill.json includes pip/playwright install steps — reasonable for this tool. No hidden download URLs or extract actions were found in provided manifests.
Credentials
The skill requests no environment variables, which is appropriate. However, the package includes config/cookies.json containing many session cookies and tokens (e.g., id_token, web_session). Embedding live session cookies in a distributed skill is disproportionate and risky: anyone running the skill could inherit that account context, and those tokens are sensitive. Docs also mention an optional 'feishu' output target — check whether code actually implements outbound Feishu API calls before trusting the package.
Persistence & Privilege
The skill persistently writes cookies, checkpoint.json, and output files into the skill workspace (config/ and output/). always is false and autonomous invocation is allowed (platform default). Persistent storage is reasonable for a scraper with checkpointing, but combined with bundled cookies it increases the risk surface (stolen/embedded cookies, long-lived checkpoint data).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install xiaohongshu-creator-finder
  3. After installation, invoke the skill by name or use /xiaohongshu-creator-finder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
No user-visible changes in this version. - Version bump with no modifications to files or documentation.
v1.0.0
- Initial release of 小红书AI创作者识别 Skill. - Enables automated search and identification of AI animation creators on Xiaohongshu based on customizable rules. - Supports multi-keyword search, smart filtering by followers and comments, and exports results to Excel/JSON. - Offers both command and natural language trigger options. - Includes clear project structure, configuration guidance, and output/file details. - Provides step-by-step first use instructions and troubleshooting notes.
Metadata
Slug xiaohongshu-creator-finder
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is creator-finder?

自动搜索并识别小红书平台符合关键词和粉丝评论标准的AI原创动画创作者,支持数据导出Excel或JSON。 It is an AI Agent Skill for Claude Code / OpenClaw, with 227 downloads so far.

How do I install creator-finder?

Run "/install xiaohongshu-creator-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is creator-finder free?

Yes, creator-finder is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does creator-finder support?

creator-finder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created creator-finder?

It is built and maintained by jiubanszd (@jiubanszd); the current version is v1.0.1.

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