Borrowing it
Nothing to install: this file belongs to jagoff/memo. 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/jagoff/memo/master/.agents/skills/remotion-create/SKILL.mdgit clone --depth 1 https://github.com/jagoff/memoWrote 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/jagoff/memo/remotion-create)<a href="https://agentmods.dev/skills/jagoff/memo/remotion-create"><img src="https://agentmods.dev/badge/skills/jagoff/memo/remotion-create/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/jagoff/memo/remotion-create"><img src="https://agentmods.dev/badge/skills/jagoff/memo/remotion-create.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 | $0.00010 | $0.00354 |
| Opus 5.5 | $0.00004 | $0.00142 |
| Sonnet 5.5 | $0.00002 | $0.00071 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
remotion-create 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 1mo 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.
This is a copy
91% identical to remotion-create — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
These are instructions for making a new Remotion project and composition. If this is not the next task, see Remotion Best Practices
Scaffold a project
If a project already exists, skip this. Ensure Node.js and Git is installed, and the current folder is appropriate for starting a new project.
Scaffold one using:
npx create-video@latest --yes --blank --no-tailwind my-video
cd my-video
npm i
Replace my-video with a suitable project name.
Designing a video
Keep the scaffold and add React Markup. Follow Remotion React Markup Best Practices and Video Layout Rules for video-first layout and text sizing guidance.
Interactivity Best Practices
By structuring the React Markup following Remotion Interactivity Best Practices, you allow the user to make edits in the Studio which write back to code.
TailwindCSS
If Tailwind is requested, see tailwind.md for using TailwindCSS in Remotion.
Starting preview
npx remotion studio --no-open
This will start a long-running process and print the server URL for the preview.
Follow-up
The video creation process has finished. For follow-up prompts, use Remotion Best Practices
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 50 lines · 10 tokens per session scan A 90bdbeea004c
remotion-create is a skill published in the GitHub repository jagoff/memo (24 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 354 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to remotion-create, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
benchmarking
Use this skill when the user wants to benchmark an MLX-VLM change and present the numbers in a PR — fork-vs-main A/B comparisons, isolated-module micro-benchmarks, median-of-N timing with warmup, peak-memory reporting, correctness checks, parameter sweeps, and self-contained reproducible bench scripts to paste into a…
server-inference
Use this skill when the user wants to run or debug MLX-VLM server inference, including uv run mlxvlm.server, /v1/models, /v1/chat/completions, /v1/responses, streaming, OpenAI-compatible clients, health checks, metrics, model unload/reload, adapters, trust-remote-code, and server request/response failures.
memorix-sessions
Use when resuming work, preparing handoff context, binding an HTTP control-plane project, or deciding whether sessionstart is useful.
frontmcp-extensibility
Use when extending FrontMCP beyond the core SDK by integrating external npm packages, libraries, or third-party services into providers and tools. Covers VectoriaDB for in-memory semantic and vector search (ML-based embeddings or TF-IDF keyword engines, with persistence) and the tamper-evident, hash-chained skill…
memory-audit-pattern-extraction
A method for investigating repeated mistakes by comparing related memories and checking whether an earlier reminder failed. It looks at where the reminder was stored, when it was created, and whether it was strong enough to prevent the mistake.
frontmcp-testing
Use for anything about testing FrontMCP servers: writing or running unit, integration, and E2E tests and reaching the 95%+ coverage bar. Covers Jest setup and coverage gating; unit-testing a ToolContext execute() with mock context, inputs, and Zod schema validation; testing resources and prompts; in-memory testing via…