Content Collector

Trust Score 76/100

Collect social media content (X/Twitter, WeChat, Jike, Reddit, etc.) into Feishu bitable. **Use this skill whenever the user shares a link from any social pl...

triggers:collectsocialmediacontenttwitterwechat

GitHub SKILL.md

What it does

Collect social media content (X/Twitter, WeChat, Jike, Reddit, etc.) into Feishu bitable. Use this skill whenever the user shares a link from any social platform, sends a screenshot, or mentions "收藏", "保存", "collect", "save this article". Even if they don't explicitly ask to collect, trigger this skill proactively.

When to use it

Trigger when the user shares links, mentions collection-related phrases, or when automating content ingestion workflows for research and archiving.

What's included

No extra files included in the repo

Compatible agents

General assistant agents with web access and scripting (Claude Code, Copilot-style assistants, Gemini CLI).

Audit Summary

Content Collector is a Feishu/Lark-integrated skill for collecting social media content (X/Twitter, WeChat, Jike, Reddit) into Feishu bitable with AI-generated tags. The skill has 7 scripts covering platform detection, deduplication, OCR, tag generation, and Feishu API integration. Scripts are well-structured but none could run without required input arguments (URLs, content, tokens). The generate_tags.py has a stub LLM call function. The skill is niche-targeted at Chinese Feishu users and requires significant external dependencies.

Watch Out

Hardcoded Feishu bitable identifiers in generate_tags.py (BITABLE_APP_TOKEN, BITABLE_TABLE_ID) should use env vars
generate_tags.py call_llm() is a stub (pass) — needs actual LLM integration
Requires FEISHU_USER_ACCESS_TOKEN env var for save_to_bitable.py
Needs external skills: x-tweet-fetcher, web-content-fetcher, defuddle, baoyu-url-to-markdown
OCR requires pytesseract + tesseract-ocr system package

Missing Dependencies

pytesseractPillow (optional, for OCR)

Notes

No security concerns. Skill is a legitimate content collection workflow for Feishu/Lark users. All network calls are to Feishu API or short URL resolution. No data exfiltration, no destructive commands. The hardcoded bitable tokens in generate_tags.py are resource IDs (not auth secrets) but still should be env vars for consistency. Chinese-language documentation is thorough.

Information

Repository: content-collector-skill
Stars: 231

Trust Score

Overall76

Security88

Code Quality62

Architecture68

Usefulness55

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