Borrowing it
Nothing to install: this file belongs to waseemnasir2k26/reelforge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/waseemnasir2k26/reelforge/main/.claude/commands/reel.mdgit clone --depth 1 https://github.com/waseemnasir2k26/reelforgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/waseemnasir2k26/reelforge/reel)<a href="https://agentmods.dev/commands/waseemnasir2k26/reelforge/reel"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/reelforge/reel/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/waseemnasir2k26/reelforge/reel"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/reelforge/reel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.00261 |
| Opus 5.5 | $0.00007 | $0.00104 |
| Sonnet 5.5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
reel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are running the SkynetLabs AI Auto-Edit Reel Pipeline.
Input from the user: $ARGUMENTS (a video path, optionally followed by a hook line in quotes).
Steps:
- Parse the clip path (first token) and an optional hook (quoted text). If no hook given, use the default.
- If
faster-whisperis not installed, run:pip install -r requirements.txt - Confirm
ffmpegis on PATH (ffmpeg -version). If missing, tell the user to install it. - Run the pipeline:
python auto_reel.py "<clip>" --hook "<HOOK>" --sub "FULLY AI / ZERO HUMAN EDITOR" --out reel.mp4 - Report the output path and the rendered duration/resolution (
ffprobe).
The script transcribes locally (free), burns word-synced captions, drops the hook card for the first 2.5s, scales/crops to 1080x1920, and exports via NVENC (libx264 fallback).
Built by SkynetLabs — www.skynetjoe.com
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 24 lines · 18 tokens per session scan A 279db566bea1
reel is a command published in the GitHub repository waseemnasir2k26/reelforge (8 stars, last pushed 6d ago), licensed MIT. It adds 18 tokens to every session and 261 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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