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 saranambiar/hyperframes-video-agent-skills --skill audio-sync-assemblygit clone --depth 1 https://github.com/saranambiar/hyperframes-video-agent-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/saranambiar/hyperframes-video-agent-skills/audio-sync-assembly)<a href="https://agentmods.dev/skills/saranambiar/hyperframes-video-agent-skills/audio-sync-assembly"><img src="https://agentmods.dev/badge/skills/saranambiar/hyperframes-video-agent-skills/audio-sync-assembly/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/saranambiar/hyperframes-video-agent-skills/audio-sync-assembly"><img src="https://agentmods.dev/badge/skills/saranambiar/hyperframes-video-agent-skills/audio-sync-assembly.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 | $0.00069 | $0.00863 |
| Opus 5.5 | $0.00028 | $0.00345 |
| Sonnet 5.5 | $0.00014 | $0.00173 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
audio-sync-assembly 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio Sync Assembly
Use this skill when video timing must follow narration or when multiple rendered scenes need to become one final timeline.
Source Of Truth
- Use the latest approved narration audio as timing source.
- Use scene renders as visual source.
- Use
templates/timeline-manifest.example.jsonto record target timing. - Do not infer timings from old final MP4s if source renders and audio clips exist.
Probe First
For every clip:
- Duration.
- Frame rate.
- Resolution.
- Audio stream presence.
- Sample rate and channels.
Use ffprobe or this repo's media probe script once available.
Sync Strategy
Choose the smallest timing intervention:
- Simple scene: retime whole scene to narration length with
setpts. - Scene with cue points: split into segments and retime each segment.
- Narration pause: insert silence and hold a frame.
- Replacement audio slightly longer: use small audio-only
atempoonly if preserving downstream sync matters more than raw duration. - Product moment late/early: retime the segment before the product moment.
Read references/ffmpeg-retiming.md for command patterns.
Phrase Alignment
Map spoken phrase starts to global timestamps when visuals depend on narration:
- Question cards.
- Product states.
- Chart points.
- Scene title reveals.
- CTA/logo arrival.
Caption timing and visual timing should share the same narration timeline.
Assembly Order
- Build synced scene segments.
- Concatenate synced segments into a narration-only master.
- Generate captions from narration-only master.
- Burn captions.
- Build music bed.
- Mix narration and ducked music.
- Produce final MP4 and preview clips.
QA
- Probe final duration, frame rate, resolution, and audio.
- Watch boundary previews.
- Check exact cue timestamps with proof frames.
- Listen for clipped words after trims.
- Confirm no accidental blank final frame appears.
Output
Return:
- Timeline manifest or script updates.
- Final path.
- Scene start map.
- Preview clips.
- Proof frames and probe results.
What ships with it
1 file 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.
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 · 161 lines · 69 tokens per session scan A b56ae9696009
audio-sync-assembly is a skill published in the GitHub repository saranambiar/hyperframes-video-agent-skills (47 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 863 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
audio-sync-assembly compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| audio-sync-assemblysaranambiar/hyperframes-video-agent-skills | Skill | 47 | 4mo ago | Apache-2.0 | A | 69 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |