Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DojoCodingLabs/remotion-superpowers --skill review-videogit clone --depth 1 https://github.com/DojoCodingLabs/remotion-superpowersWrote 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/skills/dojocodinglabs/remotion-superpowers/review-video)<a href="https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/review-video"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/review-video/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/skills/dojocodinglabs/remotion-superpowers/review-video"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/review-video.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 | $0.00075 | $0.02214 |
| Opus 5.5 | $0.00030 | $0.00886 |
| Sonnet 5.5 | $0.00015 | $0.00443 |
| Haiku 4.5 | $0.00007 | $0.00221 |
Grade A, and why
review-video 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Video — AI-Powered Video Feedback Loop
You are reviewing a Remotion video and providing professional feedback: first from a few rendered frames, then by having TwelveLabs "watch" the full render. This closes the production loop — preview, review, improve, repeat.
Load the remotion-production skill for the video-analysis rule. Rendering follows the official remotion-render skill.
Rendering is allowed here. Invoking /review-video is an explicit request to render for review, so you don't need to ask again.
Workflow
1. Quick Frame Check (cheap, local)
Before uploading anything, render a handful of still frames and look at them yourself, as official remotion-render shows:
npx remotion render [CompositionId] out/review-frames --frames=0,45,90,150,240 --image-format=png
Pick frames that cover the hook, each scene's midpoint, the busiest moments (captions, overlays) and the last frame. Read the PNGs and check:
- Blank or empty frames, missing assets (a missing
staticFile()shows as nothing or an error) - Text readability, overflow and safe areas (official
remotion-create/video-layout.md) - Caption placement against the platform UI (the
captions-workflowrule)
If these frames show obvious bugs, fix them first (see step 6) and repeat this step. That's much cheaper than a full render plus a TwelveLabs upload.
2. Render the Full Video
Look for an existing render:
ls -t out/ 2>/dev/null | grep -E '\.(mp4|webm|mov)$'
If there's none, or the code changed since it was made, render it now:
npx remotion render [CompositionId] out/video.mp4
3. Upload the Render to TwelveLabs
create-asset:
file: [absolute path to the render, e.g. /path/to/project/out/video.mp4]
Keep the returned asset ID. No index is needed. If the analyse call says the asset isn't ready, wait a few seconds and retry.
4. Analyze — The Director's Review
Run one sync-analyse-video call that returns the whole review as JSON (renders over 1 hour: async-analyse-video with the same prompt and jsonSchema, then poll get-analyse-task):
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.
- today First seen · 197 lines · 75 tokens per session scan A f9d90c5a7afd
review-video is a skill published in the GitHub repository DojoCodingLabs/remotion-superpowers (145 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 2,214 once invoked, about $0.0003 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 2026-10-28.
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