Borrowing it
Nothing to install: this file belongs to maiscafe/video_motion. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/maiscafe/video_motion/master/.agents/skills/faceless-explainer/SKILL.mdgit clone --depth 1 https://github.com/maiscafe/video_motionWrote 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/maiscafe/video_motion/faceless-explainer)<a href="https://agentmods.dev/skills/maiscafe/video_motion/faceless-explainer"><img src="https://agentmods.dev/badge/skills/maiscafe/video_motion/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/maiscafe/video_motion/faceless-explainer"><img src="https://agentmods.dev/badge/skills/maiscafe/video_motion/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 | $0.00224 | $0.04772 |
| Opus 5.5 | $0.00090 | $0.01909 |
| Sonnet 5.5 | $0.00045 | $0.00954 |
| Haiku 4.5 | $0.00022 | $0.00477 |
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 2mo 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 faceless-explainer — 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
media-use: Before sourcing audio/images, call
/media-useto resolve BGM/SFX/images from the HeyGen catalog. 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.
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 videos/<project>/. Run steps in order and pass each gate before continuing. User-gated steps are Step 0, Step 3, and Step 6. 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.
Step 0: Setup and Brief
Goal: Lock the core video brief and create the HyperFrames project if needed.
Initialize only if hyperframes.json is missing. Name <project> from the topic in kebab-case, such as compound-interest-explained; never use workspace name or timestamp.
What ships with it
16 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 23 KB runs code
- scripts/audio.mjs 11 KB runs code
- scripts/build-frame.mjs 25 KB runs code
- scripts/captions.mjs 24 KB runs code
- scripts/lib/assets.mjs 2.1 KB runs code
- scripts/lib/dimensions.mjs 2.2 KB runs code
- scripts/lib/storyboard.mjs 8.1 KB runs code
- scripts/lib/tokens.mjs 9.0 KB runs code
- scripts/lib/transition-registry.mjs 1.6 KB runs code
- scripts/lib/transitions.json 3.8 KB
- scripts/transitions.mjs 13 KB runs code
- sub-agents/frame-worker.md 16 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.
- 2mo ago First seen · 210 lines · 224 tokens per session scan A 34ef227ccdec
faceless-explainer is a skill published in the GitHub repository maiscafe/video_motion (2 stars, last pushed 4mo ago), licensed MIT. It adds 224 tokens to every session and 4,772 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to faceless-explainer, differing in 0 lines, and is treated as a copy.
faceless-explainer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| faceless-explainermaiscafe/video_motion | Skill | 2 | 4mo ago | MIT | A | 224 | Claude Code, Codex |
| hr-onboardingnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 62 | Claude Code, Codex |
| book-mirrorgarrytan/gbrain | Skill | 32k | yesterday | MIT | A | 138 | Claude Code |
| exam-forecastanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 73 | Claude Code |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 81 | Claude Code |
| eli5companion-inc/feynman | Skill | 10k | 6d ago | MIT | A | 63 | Claude Code, Codex |
| deck-course-modulenexu-io/html-anything | Skill | 9.4k | 25d ago | Apache-2.0 | A | 25 | Claude Code, Codex |