Social Media Autoresearch

The complete god-tier autonomous social media system. Runs 24/7 with zero human intervention. Discovers videos → generates clips → posts → runs browser engag...

This skill contains a full autonomous pipeline (download videos, generate clips, post to platforms, and run automated browser engagement). Before installing or running it: 1) Inspect config files (config/platforms.json, config/channels.json, config/strategy.json) and identify all API keys/tokens the code expects (Postiz API key, Wayin/clip service keys, any analytics or model API keys). 2) Don't assume metadata lists requirements — you will need system binaries (yt-dlp, ffmpeg), Whisper/whisper CLI or Python package, and the Postiz CLI. 3) Test locally in an isolated environment and with non‑production accounts — automated posting and browser engagement can violate platform policies or lead to account suspension if misused. 4) Be cautious about enabling the cron scheduling instructions; only add recurring jobs once you have fully reviewed and tested the scripts and credentials. 5) If you want to proceed, run scripts manually first (health_check.py, run a single loop) and confirm which secrets are required; do not provide unrelated credentials. If anything is unclear (which env vars are absolutely required, what the engagement scripts do exactly), ask the maintainer for a minimal runtime checklist or refuse enabling autonomous cron jobs until satisfied.

Type: OpenClaw Skill Name: social-media-autoresearch Version: 5.0.0 The skill bundle is a comprehensive autonomous social media automation system designed for video discovery, clipping, posting, and engagement. It utilizes standard industry tools such as yt-dlp, ffmpeg, and OpenAI Whisper, and integrates with external services via the Postiz and Wayin APIs. The system features an 'autoresearch' loop that evaluates content performance and evolves the agent's strategy by programmatically updating its SOUL.md and MEMORY.md files. All analyzed scripts (e.g., prism_run.py, autonomous_loop.py, engagement.py) and browser automation instructions are clearly aligned with the stated purpose of 24/7 social media management, and no evidence of malicious behavior, data exfiltration, or unauthorized access was found.