jable
Fetch and rank Jable latest-update videos by likes within a recent time window (default 48h)
Setup & Installation
Install command
clawhub install kangbuilds/jableIf the CLI is not installed:
Install command
npx clawhub@latest install kangbuilds/jableOr install with OpenClaw CLI:
Install command
openclaw skills install kangbuilds/jableor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/kangbuilds/jableWhat This Skill Does
Fetches recent videos from Jable and ranks them by like count within a configurable time window. Combines RSS feed data with latest-updates page scraping to surface the most popular recent content.
Combining RSS timestamps with like counts from listing pages in one pass saves manually cross-referencing two sources.
When to Use It
- Finding top-liked Jable videos from the last 24 hours
- Getting a ranked list of recent Jable uploads by popularity
- Automating daily Jable content discovery
- Pulling top 5 recent videos to share as a formatted list
- Scanning multiple pages to rank content by engagement
View original SKILL.md file
# Jable Use this skill to produce "recent + top liked" lists from Jable quickly and repeatably. ## Install From ClawHub: ```bash clawhub install jable ``` (If you keep it in GitHub instead, clone/copy this folder into your OpenClaw workspace as `skills/jable/`.) ## Quick Start Run: ```bash python3 skills/jable/scripts/top_liked_recent.py --hours 48 --top 3 --pages 10 ``` Parameters: - `--hours`: recent window in hours (default `48`) - `--top`: number of items to output (default `3`) - `--pages`: number of `latest-updates` pages to scan for like counts (default `10`) ## Workflow 1. Read publish times from `https://jable.tv/rss/`. 2. Read like counts from `https://jable.tv/latest-updates/` pages. 3. Keep only videos inside the requested recent window. 4. Sort by likes descending. 5. Return top N with title, likes, and URL. ## Usage (in chat) Ask for a list like: - “Pull Jable latest updates and show top 5 by likes from last 24h” ## Output Format Use this style when replying to users: ```text 1️⃣ <title> ❤️ <likes> 🔗 <url> 2️⃣ <title> ❤️ <likes> 🔗 <url> ``` ## Notes - If a recent RSS item does not appear in scanned latest pages, it may miss like data and be skipped. - Increase `--pages` when needed.
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Finding top-liked Jable videos from the last 24 hours
- 1Finding top-liked Jable videos from the last 24 hours
- 2Getting a ranked list of recent Jable uploads by popularity
- 3Automating daily Jable content discovery
- 4Pulling top 5 recent videos to share as a formatted list
- 5Scanning multiple pages to rank content by engagement
Fetch and rank Jable latest-update videos by likes within a recent time window (default 48h)
Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.
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