Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Moltbook Fanboy
Automatically browse Moltbook to get trending posts, generate comments and likes, and create daily summary reports. Use when user asks about Moltbook trends,...
skill openclawclawhub Free
Automatically browse Moltbook to get trending posts, generate comments and likes, and create daily summary reports. Use when user asks about Moltbook trends,...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, data/actions.json, data/daily_summary.md, data/daily_summary_2026-02-14.md, data/top_posts.json, scripts/fetch_top_posts.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.4
Provenance
- Publisher
- YonghaoZhao722
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Moltbook Fanboy Skill
This skill automates interactions with Moltbook by browsing trending posts of the day, analyzing content, autonomously generating comments and likes, and finally generating a daily summary report.
Workflow
When this skill is triggered, the Agent must execute the following steps: Fetch trending posts: Run scripts/fetch_top_posts.py to get the top 5 trending posts from the past 24 hours sorted by likes. Data is saved to data/top_posts.json. Autonomous content analysis: Read each post's title, body, and metadata Understand the post's topic, tone, and content quality Evaluate whether the post deserves a like or comment Autonomous interaction generation: Like decision: Based on post content quality, relevance, creativity, etc., autonomously decide whether to like. Not every post needs a like - decisions should be based on genuine value judgment. Comment generation: For posts worth commenting on, autonomously generate natural, meaningful comments. Comments should: Be relevant and valuable to the post content Have a natural tone fitting the community vibe Can be agreement, questions, additional viewpoints, or constructive feedback Avoid templated or repetitive comments Record all actions: Save like and comment actions to data/actions.json in the following format: [ { "post_title": "Post Title", "action": "like" or "comment", "content": "Comment content (if comment)", "time": "ISO 8601 timestamp" } ] Generate daily summary: Use templates/summary.md as template Generate a summary containing: Daily Top 5 posts list (sorted by likes) Each post's title, publish time, likes count, comments count Post content summary Action statistics (likes count, comments count) Interaction summary (explain why certain posts were liked/commented) Daily insights (trends or interesting findings from trending posts)
Key Principles
Autonomy: Don't use hardcoded templates or fixed replies. Generate comments based on actual post content each time. Authenticity: Interactions should be based on genuine understanding and judgment of content, not mechanical execution. Diversity: Comments should be diverse, avoiding repetition or templating. Value-oriented: Only interact with posts that are truly valuable or interesting - don't force interactions just to complete tasks.
Configuration Requirements
No configuration needed: Moltbook API v1 is public and requires no API key to fetch post data.
Resource Files
scripts/fetch_top_posts.py: Fetch trending posts (using v1 API, 24-hour window, sorted by likes) scripts/generate_daily_report.py: Generate daily report and save to Obsidian templates/summary.md: Daily summary template data/top_posts.json: Post data storage data/actions.json: Interaction action records
Obsidian Sync
Generated reports are automatically saved to Obsidian vault: Save path: /root/clawd/obsidian-vault/reports/moltbook/YYYY-MM-DD.md Filename format: YYYY-MM-DD.md Sync method: Bidirectional sync to your Obsidian vault via GitHub
Execution
When this skill is triggered, the Agent must execute the following steps: Fetch trending posts: cd /root/clawd/skills/moltbook-fanboy && python3 scripts/fetch_top_posts.py Generate daily report (includes interaction generation and Obsidian save): cd /root/clawd/skills/moltbook-fanboy && python3 scripts/generate_daily_report.py Read and send: The script outputs the report content, send directly to Telegram
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Config1 Scripts
- SKILL.md
- data/daily_summary_2026-02-14.md
- data/daily_summary.md
- scripts/fetch_top_posts.py
- data/actions.json
- data/top_posts.json