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Install in OpenClaw
/install reel-digest
Description
Download, transcribe, extract frames, and deeply analyze any video or reel from URL (Instagram, YouTube, TikTok, X, direct MP4). Use when user shares a video...
Usage Guidance
What to consider before installing: 1) The tool does what it says (downloads and analyzes videos) and needs local binaries (ffmpeg, yt-dlp, curl) and the faster-whisper Python package. 2) Safety concerns: the Python script builds shell commands using user-supplied URLs with shell=True, which can allow command injection if a malicious URL is provided; it also fetches arbitrary URLs (possible SSRF to internal services). 3) Mitigations: only run this skill in a sandboxed environment (isolated container or VM) with limited filesystem and network access; validate or sanitize URLs before use; replace subprocess.run(..., shell=True, f'...{url}...') with safe argument lists (list form) or proper escaping; restrict network egress if you don't want the agent accessing internal hosts; inspect/confirm presence and source of yt-dlp and other binaries before running. 4) If you are not comfortable patching/sandboxing, avoid installing or only use on unprivileged throwaway systems.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (download, frames, transcription, analysis) matches what the code and SKILL.md implement. Declared runtime requirements (curl, ffmpeg, yt-dlp, faster-whisper) are appropriate and appear necessary for the described pipeline.
Instruction Scope
Runtime instructions and included scripts do only the claimed tasks (download video, extract audio/frames, transcribe). However the code accepts arbitrary URLs and performs network fetches (urllib/curl/yt-dlp) which can be used to access internal network resources (SSRF) or untrusted hosts. More seriously, reel-digest.py constructs shell commands with user-supplied URL/paths and uses subprocess.run(..., shell=True) and f-strings without robust escaping—this can lead to command injection if an attacker controls the URL or provides specially crafted input. These runtime behaviors go beyond mere analysis and require careful input sanitization or sandboxing.
Install Mechanism
No installation downloads or external install steps are declared (instruction-only install). All code is included in the package. This is lower risk than an installer that fetches arbitrary code, but the package relies on existing third-party binaries (yt-dlp, ffmpeg, curl) and Python libs (faster-whisper) which must be present on the host.
Credentials
The skill requests no environment variables, credentials, or config paths. The listed external requirements (binaries and faster-whisper) are proportional to the stated purpose. There is no built-in credential exfiltration or unexpected secret access in the code.
Persistence & Privilege
The skill is not always-enabled and does not request persistent privileges or modify other skills. It runs on demand and writes outputs to a chosen output directory (defaults to a temp dir).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install reel-digest - After installation, invoke the skill by name or use
/reel-digest - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Instagram embed extraction, Whisper transcription, frame extraction, full AI analysis pipeline
Metadata
Frequently Asked Questions
What is Reel Digest?
Download, transcribe, extract frames, and deeply analyze any video or reel from URL (Instagram, YouTube, TikTok, X, direct MP4). Use when user shares a video... It is an AI Agent Skill for Claude Code / OpenClaw, with 62 downloads so far.
How do I install Reel Digest?
Run "/install reel-digest" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Reel Digest free?
Yes, Reel Digest is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Reel Digest support?
Reel Digest is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Reel Digest?
It is built and maintained by zinou (@casperzinou); the current version is v1.0.0.
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