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 OneWave-AI/claude-skills --skill hyperframes-local-promogit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/hyperframes-local-promo)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/hyperframes-local-promo"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/hyperframes-local-promo/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/onewave-ai/claude-skills/hyperframes-local-promo"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/hyperframes-local-promo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.00950 |
| Opus 5 | $0.00036 | $0.00475 |
| Sonnet 5 | $0.00015 | $0.00190 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
hyperframes-local-promo 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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HyperFrames Local Promo
Local businesses need a steady drip of short promo video and have zero production budget -- this skill is the in-house video guy. It directs quick, renderable HyperFrames promos from whatever the business has: phone photos, the menu PDF, the offer details, the logo. Composition mechanics live in the hyperframes skill (hyperframes-cli for init/lint/preview/render, hyperframes-media for voiceover and background removal on product shots).
Step 1 -- Take the brief (fast)
Promo type -- offer/sale, new item or service, event, announcement (new hours, new location), hiring, or evergreen brand clip -- plus the one detail that matters (the offer terms, the date, the dish), the assets on hand (photos, logo, menu, brand colors), and where it runs. Local promos are volume content: get to the build in minutes, not meetings.
Step 2 -- Direct the promo
The local promo formula, 15-30 seconds:
- The good part first (0-2s) -- the dish, the before/after, the offer number. Not the logo, not an intro.
- The details (2-15s) -- what, when, how much, animated type over the photos. Every fact double-checked against the brief: dates, prices, terms, address.
- The close (last 3-5s) -- one action ("Book on our site," "This weekend only," "Walk-ins welcome") plus name, location, and logo lockup.
Photos treated with respect: real phone photos beat stock every time for local trust -- crop and pan them with intent (hyperframes-media background removal to lift product shots onto brand color when it helps). No stock footage of generic smiling people; skip stock entirely rather than fake it (stock-photo-finder only for texture/ambience gaps).
Step 3 -- Build and deliver
- Brand palette and type from whatever exists (even just the logo's colors); no purple, no emoji -- clean icons where needed.
- Big readable type: promos get watched on phones in feeds -- if a detail matters, it is on screen, not only in the VO. Captions synced; VO optional (many local promos work better with motion + music timing than narration).
- Deterministic, seek-safe motion per HyperFrames rules; lint and preview before declaring done -- never claim it renders without running the pipeline.
- Deliver 9:16 (Reels/Stories/TikTok), 1:1 (feed), and a Google Business Profile-friendly cut, plus the post caption with the offer terms restated and the poster frame.
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 · 50 lines · 0 tokens per session scan A b558250707c0
hyperframes-local-promo is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 950 once invoked, about $0.0004 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 2026-09-03.
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