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-youtube-editor --skill make-tsxgit clone --depth 1 https://github.com/hassancs91/claude-youtube-editorWrote 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-youtube-editor/make-tsx)<a href="https://agentmods.dev/skills/hassancs91/claude-youtube-editor/make-tsx"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-youtube-editor/make-tsx/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-youtube-editor/make-tsx"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-youtube-editor/make-tsx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00165 | $0.01990 |
| Opus 5 | $0.00082 | $0.00995 |
| Sonnet 5 | $0.00033 | $0.00398 |
| Haiku 4.5 | $0.00016 | $0.00199 |
Grade A, and why
make-tsx 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
make-tsx — build the visual beats over the master
Step 2 of the pipeline: take an approved master cut and its timing spine and produce the animated beats — UI/browser mockups, full-screen statements, diagrams, image reveals — then composite them over the master into a preview. Work collaboratively and beat-by-beat; the user gives notes per beat.
This is the project orchestration. For the low-level rules of writing a single crash-free Remotion file (frame-based only, monotonic interpolate, Easing.bezier, no useState/useEffect, import gotchas), use the vidtsx-2d-generator skill — shots here follow those rules.
Inputs (read these first, every session)
- The plan —
videos/video-N/work/edit-plan.md(or a change list likev2-update-plan.md). The source of truth for what to build. If there's a change list from a review, that overrides; apply it, don't re-litigate settled beats. videos/video-N/work/timeline.json— maps each shot → its span on the master +type. You edit this. (Schema below.)videos/video-N/work/edited-transcript.json— word-level times in master timeline (ms). Everything syncs to these.brand.md— colors/fonts/motion/delivery tokens. Every shot reads the brand so all videos feel like one channel.remotion/src/lib/kit.tsx(+lib/vscode.tsx,lib/browser.tsx) — the reusable component library;src/brand.ts,src/fonts.ts; existing shots inremotion/src/shots/video-N/.
Workflow
- Read the plan + timeline + transcript + brand + kit. Pull the exact word times for each cue you must hit (grep
edited-transcript.jsonfor the phrase → start/end ms → local frame =(cue_s − shot.master_in_s) × fps). - Ask only what's genuinely open at the start (a small batch), then build. Don't re-ask settled decisions.
- Library-first. Reuse a kit component before writing UI from scratch. If you build something reusable (a window chrome, a browser frame, a card slot), put it in
lib/so later shots and videos get it. Promote good patterns back into the library. - Author / edit the shot as a vidtsx-format
.tsxinremotion/src/shots/video-N/(auto-registered byscripts/gen-registry.mjs). One shot per file. Follow the brand tokens and the principles below. - Sync to the words (see principles). Time each sub-element's entrance to its transcript cue; never show a thing before it's said or after the point has passed.
- Update
timeline.json— add/replace/retime the beat's span andtype. Leave a clear note when a slot is a placeholder (e.g. a pending screen recording). - Render + VERIFY BY SCREENSHOT (never skip):
cd remotion && node scripts/render-all.mjs --scale=1 <ShotIds>(opaque →out/<id>.mp4, transparent overlays →.mov). Validate with a still first (--still); for word-synced reveals/scrolls, render the clip and pull a frame at each cue (ffmpeg -ss <t> -i out/<id>.mp4 -frames:v 1 f.jpg) — one 60% still is not enough. - Bake the preview:
python tools/bake.py(reads timeline.json →videos/video-N/output/video-N-preview.mp4, 1080p30).--end SECONDSto bake a prefix while iterating. - Spot-check composited frames from the baked mp4 at the changed beats (the shot over the real master), not just the isolated shot.
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 · 73 lines · 165 tokens per session scan A 08cdec2da2e6
make-tsx is a skill published in the GitHub repository hassancs91/claude-youtube-editor (303 stars, last pushed 25d ago), licensed MIT. It adds 165 tokens to every session and 1,990 once invoked, about $0.0008 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 2026-08-30.
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