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 oyi77/1ai-skills --skill hyperframes-faceless-explainergit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/hyperframes-faceless-explainer)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/hyperframes-faceless-explainer"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/hyperframes-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/oyi77/1ai-skills/hyperframes-faceless-explainer"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/hyperframes-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 | $0.00096 | $0.01797 |
| Opus 5 | $0.00048 | $0.00898 |
| Sonnet 5 | $0.00019 | $0.00359 |
| Haiku 4.5 | $0.00010 | $0.00180 |
Grade A, and why
hyperframes-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 2d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill builds faceless explainer videos — narration-driven, no on-camera presenter — as HyperFrames compositions. Use it for product or concept explainers where voiceover plus visuals carry the message. It renders the final MP4 from a script you provide.
HyperFrames — Faceless Explainer
Turn arbitrary text into an explainer video: pick a design system, plan a teaching story, and build it frame by frame. Faceless means every visual is invented — there is no capture step and no real asset inventory.
When to Use
- User wants a topic explainer from an article, notes, or brief
- User wants a concept breakdown (how something works)
- User wants a how-to or tutorial (no screen capture)
- User wants a listicle or animated list
- User wants a data-driven explainer (charts, stats, comparisons)
When NOT to Use
- User wants a product launch (use
hyperframes-product-launch-video) - User wants a talking-head video (use
hyperframes-embedded-captions) - User wants a motion graphic (use
hyperframes-motion-graphics) - User wants to capture a website (use
hyperframes-product-launch-video)
Workflow
0 · Setup
npx hyperframes init "videos/<project>" --non-interactive --example=blank --skill=faceless-explainer
Write BRIEF.md immediately after init (never before — init refuses a non-empty directory). Record preferences with node <MEDIA_DIR>/scripts/prefs.mjs record --hyperframes ..
1 · Brief (no capture)
Save the user's full input verbatim:
capture/extracted/visible-text.txt— the full article/notes/topic/briefcapture/extracted/tokens.json—{ "title": "", "description": "", "colors": [], "fonts": [] }
Do NOT run npx hyperframes capture — there is no URL. Faceless visuals are invented downstream.
2 · Design System
Pick a frame preset whose look fits the topic, tone, and audience:
node <SKILL_DIR>/scripts/build-frame.mjs --preset <name> --hyperframes .
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.
- 2d ago First seen · 167 lines · 96 tokens per session scan A 0d89d4e512ff
hyperframes-faceless-explainer is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 1,797 once invoked, about $0.0005 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 2026-09-10.
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