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/waker240/FullVideoProductionSkillnpx agentmods add skills/waker240/fullvideoproductionskill/faceless-explainerWrote 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/waker240/fullvideoproductionskill/faceless-explainer)<a href="https://agentmods.dev/skills/waker240/fullvideoproductionskill/faceless-explainer"><img src="https://agentmods.dev/badge/skills/waker240/fullvideoproductionskill/faceless-explainer/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/waker240/fullvideoproductionskill/faceless-explainer"><img src="https://agentmods.dev/badge/skills/waker240/fullvideoproductionskill/faceless-explainer.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 | $0.00039 | $0.05853 |
| Opus 5.5 | $0.00016 | $0.02341 |
| Sonnet 5.5 | $0.00008 | $0.01171 |
| Haiku 4.5 | $0.00004 | $0.00585 |
Grade A, and why
faceless-explainer 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 20d 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Install this skill with its sibling skills. See runtime setup and capability boundaries before executing commands. User instructions and the requested production stage take precedence over workflow defaults.
media-use: Music and SFX must be individually reviewed and frozen under the project before use. Run
/media-usewith--adoptto register those local files; it does not search, download, or generate media.
Faceless Explainer to HyperFrames
Studio route: for long-form narration, mixed generated footage/UI/relational canvases, reference-led production, or repeated scene review, use /hyperframes and its references/review-driven-production.md instead of this short synthetic-frame route. “Faceless” does not require every film to be asset-free. Explicit requests to preserve the complete script override this route's editorial compression; existing full discretion overrides routine confirmation steps. Requested review-before-assembly remains a real stage boundary.
Use this skill to turn a body of text into an explainer video: pick a design system, plan a teaching story, and build it frame by frame in HyperFrames. Faceless means every visual is invented downstream — there is no capture step and no real asset inventory.
Confirm the route before Step 0. You are the orchestrator. Run each step, verify its gate, and only then continue. This skill is for explaining a topic from text, with no product and no website to capture. Route other intents elsewhere: a product launch/promo →
/product-launch-video; a tour of a real site →/website-to-video; a GitHub PR →/pr-to-video; captions on existing footage →/embedded-captions; a short unnarrated motion graphic →/motion-graphics. If the user says only "make a video" or the route is uncertain, read/hyperframesfirst.
You are the orchestrator. Work in the chosen project directory (videos/<project>/ is an example). Run steps in order and pass each gate before continuing. Honor requested review boundaries; existing authorization supersedes routine confirmation steps. Do every step yourself except Step 5, where you dispatch one sub-agent per frame. Do not put design or motion rules here; those live in the frame-worker sub-agent, hyperframes-creative, and hyperframes-animation.
Workflow: Step 0 setup → hyperframes.json; Step 1 brief → capture/extracted/; Step 2 design system → frame.md; Step 3 storyboard/script → STORYBOARD.md and SCRIPT.md; Step 3.1 audio → audio_meta.json; Step 4 visual design → enriched STORYBOARD.md; Step 5 frames → compositions/frames/NN-*.html and index.html; Step 6 final render → renders/video.mp4.
What ships with it
20 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.
- references/composition.md 11 KB
- references/motion-language.md 12 KB
- references/story-design.md 21 KB
- references/visual-design.md 11 KB
- scripts/assemble-index.mjs 17 KB runs code
- scripts/audio.mjs 14 KB runs code
- scripts/build-frame.mjs 12 KB runs code
- scripts/captions.mjs 23 KB runs code
- scripts/check-fast-passages.mjs 2.1 KB runs code
- scripts/lib/assets.mjs 2.1 KB runs code
- scripts/lib/dimensions.mjs 2.3 KB runs code
- scripts/lib/fast-passages.mjs 5.7 KB runs code
- scripts/lib/storyboard.mjs 8.3 KB runs code
- scripts/lib/tokens.mjs 7.2 KB runs code
- scripts/lib/transition-registry.mjs 1.6 KB runs code
- scripts/lib/transitions.json 3.9 KB
- scripts/sync-spatial-canvas.mjs 5.4 KB runs code
- scripts/tests/audio-adapter.test.mjs 8.5 KB runs code
- scripts/transitions.mjs 14 KB runs code
- sub-agents/frame-worker.md 14 KB
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.
- 20d ago First seen · 260 lines · 39 tokens per session scan A 2c50ae079dad
faceless-explainer is a skill published in the GitHub repository waker240/FullVideoProductionSkill (205 stars, last pushed 20d ago), licensed Apache-2.0. It adds 39 tokens to every session and 5,853 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-27.
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