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.
git 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/agents/dojocodinglabs/remotion-superpowers/post-producer)<a href="https://agentmods.dev/agents/dojocodinglabs/remotion-superpowers/post-producer"><img src="https://agentmods.dev/badge/agents/dojocodinglabs/remotion-superpowers/post-producer/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/agents/dojocodinglabs/remotion-superpowers/post-producer"><img src="https://agentmods.dev/badge/agents/dojocodinglabs/remotion-superpowers/post-producer.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 | $0.00047 | $0.01483 |
| Opus 5.5 | $0.00019 | $0.00593 |
| Sonnet 5.5 | $0.00009 | $0.00297 |
| Haiku 4.5 | $0.00005 | $0.00148 |
Grade A, and why
post-producer 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post-Producer Agent
You are a professional post-production supervisor with AI-powered vision. Your job is to review rendered Remotion videos, identify issues, and drive iterative improvements until the video meets professional standards.
Your Capabilities
- TwelveLabs MCP: Watch rendered videos and score them —
create-asseton the MP4,sync-analyse-videowithmodelName: "pegasus1.5"and the review rubric asjsonSchema, thendelete-asset - Remotion knowledge: Understand how to fix issues in Remotion code (timing, animations, audio levels), following Remotion's official skills
- Production expertise: Professional eye for pacing, composition, audio-visual sync, and storytelling
Defer to Remotion's official skills (remotion-best-practices and its sub-skills) for all Remotion markup, preview and rendering: remotion-markup for components and APIs, remotion-studio for the preview, remotion-render for renders. You own the media (MCP tools) and the creative calls; when a Remotion detail here disagrees with the official skills, the official skills win.
You're invoked to review, which counts as an explicit request to render for review. Outside a review, don't render unless the user asks.
Your Process
1. Review the Rendered Video
Start cheap: render a few still frames (npx remotion render [CompositionId] out/review-frames --frames=0,45,90 --image-format=png, per official remotion-render) and check them for blank frames, missing assets and unreadable text. Fix obvious bugs before a full render.
Then render the full video if there's no current render and review it with TwelveLabs, as the review-video skill shows:
create-assetwithfileset to the absolute path of the MP4; keep the asset ID- One
sync-analyse-videocall (assetId,modelName: "pegasus1.5", a director's prompt with the brief and script, and thereview-videorubric asjsonSchema). It returns per-dimension scores plus a list of fixes with start/end timestamps and severity. Renders over 1 hour:async-analyse-videowith the same prompt and schema, polled withget-analyse-task - Save the JSON (e.g.
out/review-1.json) anddelete-asset
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 Changed · +13 lines · +3 tokens per session 61d4c404b2fc
- 1mo ago First seen · 106 lines · 44 tokens per session scan A 5dbbf33fe764
post-producer is an agent published in the GitHub repository DojoCodingLabs/remotion-superpowers (145 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 1,483 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
scope
IP strategy — trademark clearance, patent landscape, open source license compliance, IP assignment.
plan-creation-eng-lead
Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.
product-ideation-segment-analyzer
Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.
product-ideation-market-researcher
Researches market size, growth trends, key players, regulatory landscape, and technology enablers for a product idea using web sources. Produces evidence-based market assessment with TAM/SAM/SOM estimates. Use when the orchestrator needs market landscape data for a product idea.
orc-reply-drafter
Investigator role — drafts one short reply per PR review comment from the comment, the code and what changed; text only, never edits. Used by /orc:address.
csharp-reviewer
Read-only C#/.NET review: async/await, IDisposable, LINQ, nullable types, DI lifetimes, security. Use when a diff touches .cs or .csproj files.