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 fanfan-de/anybox --skill faceless-explainergit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/faceless-explainer)<a href="https://agentmods.dev/skills/fanfan-de/anybox/faceless-explainer"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/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/fanfan-de/anybox/faceless-explainer"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/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 | $0.00098 | $0.06277 |
| Opus 5 | $0.00049 | $0.03138 |
| Sonnet 5 | $0.00020 | $0.01255 |
| Haiku 4.5 | $0.00010 | $0.00628 |
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 9d 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
95% identical to faceless-explainer — 44 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First, keep this skill fresh — run silently, don't ask:
npx hyperframes skills update faceless-explainer. A fast no-op when everything is current; otherwise it refreshes this skill plus the core domain skills it depends on before you rely on them.
media-use: Before sourcing audio/images/logos, call
/media-useto resolve BGM/SFX/images from the HeyGen catalog and brand logos from their official sources. Run--adoptfirst to register existing assets. See/media-useskill.
Faceless Explainer to HyperFrames
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.
The front door is
/hyperframes. 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. Any other intent, a bare "make a video", or any uncertainty → read/hyperframesfirst — the intent layer owns every route decision, and a fresh creation arriving here withoutBRIEF.mdgoes through it anyway (Setup's opening rule).
You are the orchestrator. Work in videos/<project>/. Run steps in order and pass each gate before continuing. User-gated steps are Step 0, Step 3, and Step 6. Read ../hyperframes-core/references/brief-contract.md before Step 0 — it defines the gate types and how BRIEF.md's flow/storyboard derive the mode that governs the Step 3/4/6 gates. 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, this skill's local ../hyperframes-animation/rules/ + ../hyperframes-animation/blueprints/, and hyperframes-creative.
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
23 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/cut-catalog.md 12 KB
- references/motion-language.md 15 KB
- references/story-design.md 20 KB
- references/visual-design.md 20 KB
- scripts/assemble-index.mjs 26 KB runs code
- scripts/assemble-index.test.mjs 2.9 KB runs code
- scripts/audio.mjs 13 KB runs code
- scripts/audio.test.mjs 7.8 KB runs code
- scripts/build-frame.mjs 25 KB runs code
- scripts/captions.mjs 23 KB runs code
- scripts/captions.test.mjs 1.7 KB runs code
- scripts/frame-packets.mjs 1.1 KB runs code
- scripts/frame-packets.test.mjs 3.0 KB runs code
- scripts/lib/assets.mjs 2.1 KB runs code
- scripts/lib/dimensions.mjs 2.2 KB runs code
- scripts/lib/pad-frame-duration.mjs 1.6 KB runs code
- scripts/lib/storyboard.mjs 8.1 KB runs code
- scripts/lib/tokens.mjs 9.7 KB runs code
- scripts/lib/transition-registry.mjs 1.6 KB runs code
- scripts/lib/transitions.json 3.8 KB
- scripts/transitions.mjs 15 KB runs code
- scripts/transitions.test.mjs 2.3 KB runs code
- sub-agents/frame-worker.md 2.0 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.
- 9d ago First seen · 234 lines · 98 tokens per session scan A 9243ecde0ad2
faceless-explainer is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 98 tokens to every session and 6,277 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to faceless-explainer, differing in 44 lines, and is treated as a copy.
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