Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/hassancs91/claude-faceless-shorts-creatornpx agentmods add skills/hassancs91/claude-faceless-shorts-creator/make-voxWrote 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/make-vox)<a href="https://agentmods.dev/skills/hassancs91/claude-faceless-shorts-creator/make-vox"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/make-vox/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/make-vox"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/make-vox.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 | $0.00182 | $0.01551 |
| Opus 5 | $0.00091 | $0.00776 |
| Sonnet 5 | $0.00036 | $0.00310 |
| Haiku 4.5 | $0.00018 | $0.00155 |
Grade A, and why
make-vox 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
make-vox — layered-collage documentary shorts, end to end
Every scene is DISSECTED into separate image layers (paper board, die-cut subjects, maps,
archival prints, label chips, arrows) and the TSX side choreographs the layers so they
assemble on screen. Polish = many simple staggered layer moves + a virtual camera — never
complex per-image animation. The visual language + architecture live in
vox-shorts/DESIGN.md (read it first); this skill is the build pipeline. Proven on
vox-1 (coffee).
Run everything from the repo root. Layer production needs extra Python deps (the only tools
in this repo that do): pip install pillow rembg (die-cuts) and pip install playwright && playwright install chromium (HTML→PNG captures).
Artifact contract
vox-shorts/vox-N-<topic>/
script.md — beat sheet: per scene → on-screen layers + camera + (VO)
scenes.json — optional machine contract once voice lands (like beats.json)
voice/ · sfx-plan.json · output/ (same machinery as the short-N flow) [voice/output gitignored]
remotion/src/shots/vox-N/VoxN<Name>.tsx — THE composition
media/projects/vox-N-<topic>/layers/ — every generated layer + gen_image sidecars (committed)
Kit: remotion/src/lib/collage.tsx — CollageBoard (camera keyframes + parallax context),
Cutout, ArchivalPhoto, PaperBG, LabelChip, SerifStatement, SketchArrow, Grain,
VOX palette. Grow the kit generically; project-specific hacks stay in the shot.
Format
1080×1920 @30, 35–45s. The hook grammar of make-short applies: composed frame 0, loop-friendly tail, no CTA outros.
Stage 1 — script + scene dissection
Write script.md: scenes with, for EACH scene — the camera move (anchor x/y/zoom), the layer
list (what image, which source, entrance + timing), annotations (chips/routes/statements).
Facts verified before scripting. A scene is 2–6 layers; if you can't name the layers, the
scene isn't designed yet.
Stage 2 — layer production (cheapest source that works, reuse first)
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 · 104 lines · 182 tokens per session scan A 3f87d0ac7112
make-vox is a skill published in the GitHub repository hassancs91/claude-faceless-shorts-creator (232 stars, last pushed 24d ago), licensed MIT. It adds 182 tokens to every session and 1,551 once invoked, about $0.0009 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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