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 hassancs91/claude-faceless-shorts-creator --skill vidtsx-2d-generatorgit clone --depth 1 https://github.com/hassancs91/claude-faceless-shorts-creatorWrote 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/hassancs91/claude-faceless-shorts-creator/vidtsx-2d-generator)<a href="https://agentmods.dev/skills/hassancs91/claude-faceless-shorts-creator/vidtsx-2d-generator"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/vidtsx-2d-generator/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/hassancs91/claude-faceless-shorts-creator/vidtsx-2d-generator"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/vidtsx-2d-generator.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 | $0.00225 | $0.02828 |
| Opus 5 | $0.00112 | $0.01414 |
| Sonnet 5 | $0.00045 | $0.00566 |
| Haiku 4.5 | $0.00022 | $0.00283 |
Grade A, and why
vidtsx-2d-generator 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 12d 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
100% identical to vidtsx-2d-generator — 0 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.
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VidTSX 2D Video Generator
Generate production-ready 2D TSX video files for VidTSX from a description of a shot or video. The files are Remotion compositions that VidTSX renders frame-by-frame, so correctness matters more than cleverness: a single non-monotonic interpolate range or a stray useState will crash the render.
This skill covers 2D motion graphics. 3D work (@remotion/three / React Three Fiber) is out of scope.
How to use this skill
- Clear single shot → generate the
.tsxfile directly. - Complex, multi-shot, or visually ambiguous request → confirm the shot breakdown or visual direction in one short message first, then generate. Don't over-ask; a one-line confirmation is enough.
- Deliver as an actual
.tsxfile, not inline code. These TSX components always exceed 20 lines, and the user edits these files directly. Default to one shot per file (atomic, easy to edit) unless the user asks for a single combined deliverable. - The file contains only the component code — the structural section comments below are welcome, but no markdown fences, no prose explanations inside the file.
- Render it and look before calling it done — see Verify the render. A shot you have only reasoned about is not finished; a still (and, for reveals/scrolls, frames at each cue) is the bar.
Output spec
Dimension presets
| Format | Width | Height | Use case |
|---|---|---|---|
| horizontal | 1920 | 1080 | YouTube, presentations |
| vertical | 1080 | 1920 | TikTok, Reels, Shorts |
| square | 1080 | 1080 | Instagram feed |
Defaults
- Format: horizontal (1920×1080)
- Duration: 5 seconds
- FPS: 30
- Style: minimalist (see
references/style-presets.md)
Mandatory file structure
Every generated file follows this skeleton. The labeled section comments are intentional — they keep large files navigable.
What ships with it
1 file 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.
- 12d ago First seen · 273 lines · 225 tokens per session scan A ed791a9d6a30
vidtsx-2d-generator is a skill published in the GitHub repository hassancs91/claude-faceless-shorts-creator (232 stars, last pushed 25d ago), licensed MIT. It adds 225 tokens to every session and 2,828 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to vidtsx-2d-generator, differing in 0 lines, and is treated as a copy.
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