Before: everything under tier 0 showed ✅ with vague descriptions
After: each channel shows its actual capability and limitations
Changes:
- GitHub: 'Public repos only. Set github_token for private repos'
- Twitter: shows 'Full access' vs 'Read-only' depending on birdx
- Bilibili: ⚠️ warning on servers about potential IP blocks
- XiaoHongShu: friendly message when no cookie (was showing Jina 451)
- Doctor format: tier 0 items now show detailed status messages, not just ✅
- README: platform table updated to match reality (removed exaggerated claims)
- README: doctor example updated to show new honest format
Major change: README now opens with a complete platform table showing:
- ALL 9 supported platforms
- What each can do (read/search/post/reply/like/collect)
- Configuration difficulty (零配置/免费Key/Cookie/代理)
- Which open-source tool powers each one
Key additions:
- Twitter: not just read — can post tweets and reply (via birdx)
- XiaoHongShu: full operations — post, comment, like, collect, search
- Sorted by importance: Web → Twitter → XHS → Search → GitHub → YouTube → Bilibili → RSS → Reddit
Round 1: Problem-solution structure, showcase underlying tools
Round 2: Too verbose - 4 'can't do' examples is repetitive, tightened
Round 3: Compact doctor output, restored quick-reference table,
cut code examples to essentials
Round 4: Opening paragraph tighter - one sentence for all pain points
Key: README doesn't say 'we can read URLs' (every tool does that).
It says 'here are the best open-source tools for each platform,
we glued them together so you install once and get everything.'
Core insight from Neo: 'reading a URL is not a feature — every AI tool does that'
New approach: introduce each underlying project and what makes it special:
- Jina Reader (9.8K⭐): any URL → clean Markdown, handles JS rendering
- yt-dlp (148K⭐): subtitles from 1800+ video sites, not just YouTube
- Exa: neural semantic search, not keyword matching
- birdx: Twitter without expensive API Key, just browser cookies
- feedparser (2.3K⭐): universal RSS/Atom parser
Framing: 'We find the best wheel for each job, then attach them all to your Agent'
Chinese README polished 3 rounds:
- Round 1: direct translation
- Round 2: too dry, too many tables, too technical
- Round 3: conversational tone, scenario-driven, collapsible details
Key improvements:
- Opens with WHY not WHAT ('你的Agent很聪明，但是看不见')
- Install section explains WHERE to paste for newbies
- Features shown as bullet list not tables (better visual scan)
- Architecture hidden in collapsible section (most users don't care)
- 'Why Agent Eyes' section explains positioning clearly
- English version at docs/README_en.md
1. Install command: git+... requires git (many envs don't have it)
→ Changed to zip URL: pip install .../archive/main.zip
2. yt-dlp not in dependencies (shows warning in doctor)
→ Added yt-dlp to required dependencies
3. search-twitter/reddit shows raw 401 error without Exa key
→ Now shows friendly 'Exa API key not configured' message
Users just paste one line to their AI Agent:
'Install Agent Eyes: https://raw.githubusercontent.com/Panniantong/agent-eyes/main/docs/install.md'
The Agent reads the guide, installs, configures, and reports back.
Inspired by oh-my-opencode's installation flow.
Also updated README: new tagline, architecture diagram reflects
pure-glue design, updated credits.
