Borrowing it
Nothing to install: this file belongs to PinkR1ver/vibe-roast. 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/PinkR1ver/vibe-roast/main/.agents/skills/product-launch-video/SKILL.mdgit clone --depth 1 https://github.com/PinkR1ver/vibe-roastWrote 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/pinkr1ver/vibe-roast/product-launch-video)<a href="https://agentmods.dev/skills/pinkr1ver/vibe-roast/product-launch-video"><img src="https://agentmods.dev/badge/skills/pinkr1ver/vibe-roast/product-launch-video/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/pinkr1ver/vibe-roast/product-launch-video"><img src="https://agentmods.dev/badge/skills/pinkr1ver/vibe-roast/product-launch-video.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 | $0.00091 | $0.06170 |
| Opus 5.5 | $0.00036 | $0.02468 |
| Sonnet 5.5 | $0.00018 | $0.01234 |
| Haiku 4.5 | $0.00009 | $0.00617 |
Grade A, and why
product-launch-video 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 1mo 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
83% identical to faceless-explainer — 87 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 — 235 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 product-launch-video. 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.
figma source: If the source is a figma.com URL, run
/figmafirst — asset export, brand tokens, and components/storyboard reconstruction if needed — then build this workflow from its output. Don't drive Figma via raw MCP tools directly: that skips SVG sanitization,.media/manifest.jsonlprovenance, and brand-tokenvar()binding, so a later brand change can't propagate without a full re-import.
Product Launch to HyperFrames
Use this skill to capture a product, understand its brand, plan a launch video, and build it frame by frame in HyperFrames.
The front door is
/hyperframes. You are the orchestrator. Run each step, verify its gate, and only then continue to the next step. This skill is for a product being marketed, launched, promoted, or revealed, including requests such as "promo for our site" when the purpose is promotional. A site tour / showcase ask stays here too:BRIEF.mdcarries the show-it-as-is intent, and the captured screens become the assets the video features. 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 capture -> capture/; 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
25 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 13 KB
- references/motion-language.md 15 KB
- references/story-design.md 32 KB
- references/visual-design.md 16 KB
- scripts/assemble-index.mjs 30 KB runs code
- scripts/audio.mjs 11 KB runs code
- scripts/audio.test.mjs 5.7 KB runs code
- scripts/build-frame.mjs 24 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/pad-frame-duration.test.mjs 2.9 KB runs code
- scripts/lib/storyboard.mjs 8.1 KB runs code
- scripts/lib/tokens.mjs 9.9 KB runs code
- scripts/lib/tokens.test.mjs 2.2 KB runs code
- scripts/lib/transition-registry.mjs 1.6 KB runs code
- scripts/lib/transitions.json 3.8 KB
- scripts/media-contract.test.mjs 10 KB runs code
- scripts/stage-assets.mjs 1.6 KB runs code
- scripts/transitions.mjs 15 KB runs code
- sub-agents/frame-worker.md 2.7 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.
- 1mo ago First seen · 235 lines · 91 tokens per session scan A 3f0ac94cacc0
product-launch-video is a skill published in the GitHub repository PinkR1ver/vibe-roast (47 stars, last pushed 8d ago), licensed MIT. It adds 91 tokens to every session and 6,170 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to faceless-explainer, differing in 87 lines, and is treated as a copy.
Other skills, from other repositories
repo-hygiene
Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.
test-failure-explorer
Import and query an existing Vitest 3.2 JSON report to explore test failures, file-level errors and original diagnostic evidence.
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
money
Skill "money" from Hmbown/Codewhale, covering money, when to use, setup, workflow and non-goals.
interview
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.