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 Mathews-Tom/armory --skill remotion-videogit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/remotion-video)<a href="https://agentmods.dev/skills/mathews-tom/armory/remotion-video"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/remotion-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/mathews-tom/armory/remotion-video"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/remotion-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 212 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00072 | $0.02643 |
| Opus 5 | $0.00036 | $0.01321 |
| Sonnet 5 | $0.00014 | $0.00529 |
| Haiku 4.5 | $0.00007 | $0.00264 |
Grade A, and why
remotion-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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remotion Video
Creates production-grade videos using Remotion — a React framework where video is code. Every frame is a React component. Animations use spring physics and frame-based interpolation.
Reference Files
| File | Purpose |
|---|---|
references/rules/fundamentals.md |
useCurrentFrame, useVideoConfig, interpolate, spring, core hooks |
references/rules/animations.md |
Easing, spring config, interpolateColors, timing patterns |
references/rules/compositions.md |
Composition, registerRoot, Folder, calculateMetadata |
references/rules/media.md |
Img, Video, OffthreadVideo, Audio, staticFile, async loading |
references/rules/text-and-fonts.md |
Google Fonts, local fonts, text measurement, typography |
references/rules/tailwind.md |
TailwindCSS integration, utility-first styling in Remotion |
references/rules/audio.md |
Audio component, volume curves, trimming, frame-synced audio |
references/rules/subtitles.md |
Caption system, SRT/VTT parsing, word-level timing |
references/rules/three-d.md |
@remotion/three, ThreeCanvas, React Three Fiber integration |
references/rules/charts.md |
Bar, pie, line chart animation patterns |
references/rules/rendering.md |
CLI render, renderMedia API, quality presets |
references/rules/data-driven.md |
Dataset rendering, batch generation, parametric compositions |
references/templates/explainer.tsx |
Parametric tech explainer template |
references/templates/product-demo.tsx |
Product showcase template |
references/templates/data-viz.tsx |
Animated chart composition template |
scripts/scaffold_project.sh |
Bootstrap a new Remotion project with TailwindCSS |
scripts/render.sh |
Render wrapper with quality presets and format options |
What ships with it
18 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.
- evals/cases.yaml 2.4 KB
- references/rules/animations.md 6.4 KB
- references/rules/audio.md 6.6 KB
- references/rules/charts.md 9.6 KB
- references/rules/compositions.md 6.3 KB
- references/rules/data-driven.md 8.6 KB
- references/rules/fundamentals.md 6.2 KB
- references/rules/media.md 5.7 KB
- references/rules/rendering.md 6.1 KB
- references/rules/subtitles.md 7.0 KB
- references/rules/tailwind.md 6.6 KB
- references/rules/text-and-fonts.md 7.5 KB
- references/rules/three-d.md 7.1 KB
- references/templates/data-viz.tsx 16 KB
- references/templates/explainer.tsx 11 KB
- references/templates/product-demo.tsx 14 KB
- scripts/render.sh 6.7 KB runs code
- scripts/scaffold_project.sh 4.9 KB runs code
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.
- 3d ago First seen · 229 lines · 72 tokens per session scan A 564d514b5c45
remotion-video is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed 3d ago), licensed MIT. It adds 72 tokens to every session and 2,643 once invoked, about $0.0004 per session on Opus 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 2026-09-05.
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