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 jeremylongworth-source/AgentSkills --skill local-video-assemblygit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/local-video-assembly)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/local-video-assembly"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/local-video-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/jeremylongworth-source/agentskills/local-video-assembly"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/local-video-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 | $0.00070 | $0.01000 |
| Opus 5.5 | $0.00028 | $0.00400 |
| Sonnet 5.5 | $0.00014 | $0.00200 |
| Haiku 4.5 | $0.00007 | $0.00100 |
Grade A, and why
local-video-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 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Video Assembly
Core Workflow
- Identify the target output: platform, aspect ratio, resolution, frame rate, target length, source assets, voiceover, captions, review owner, and whether captions should be sidecar, burned in, or both.
- Inspect local inputs before planning commands: image dimensions, audio duration, sample rate, caption timing, missing files, rights/provenance notes, and any render constraints from the surrounding production brief.
- Create or update a render manifest with scene order, file paths, durations, visual treatment, voiceover segments, caption references, overlays, output profile, and acceptance checks.
- Plan FFMPEG assembly with deterministic local steps: normalize source media, compose still or slide scenes, sync narration, add simple motion or fades, apply captions, normalize loudness, and export a review MP4.
- Validate the export with
ffprobeand visual/audio spot checks: confirm video stream, audio stream, resolution, duration, frame rate, sample rate, caption readability, audio sync, and no missing or placeholder assets. - Return a human-review package with the final file path, validation summary,
known issues, disclosure/provenance notes, and a clear
go,revise, orholdrecommendation for the next publishing checklist.
MVP Defaults
- Use a 16:9 narrated explainer profile unless the user requests another
format: 1920x1080, 30 fps, MP4 container, H.264 video, AAC stereo audio at
48 kHz, progressive scan,
yuv420p, and fast-start metadata. - Prefer still, slide, screenshot, or generated-image scenes with restrained pans, zooms, fades, and text overlays. Do not assume a synthetic on-camera host unless the production brief explicitly includes one.
- Keep critical visual content and captions out of platform UI safe areas. Create both sidecar captions and burned-in review captions when practical.
- Treat local TTS, generated visuals, stock assets, screen captures, and third-party media as provenance-sensitive inputs that need review.
- Verify current platform upload, disclosure, or encoding guidance from official sources when exact tactical requirements matter.
What ships with it
2 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.
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 · 91 lines · 70 tokens per session scan A 70cc3d7296a5
local-video-assembly is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 6d ago), licensed MIT. It adds 70 tokens to every session and 1,000 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 2026-09-13.
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authos-platform-deployment
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tester
Run end-to-end web quality audits with Playwright and Lighthouse using existing project scripts first. Use when the user says /tester, e2e test, smoke test, Playwright audit, Lighthouse audit, performance audit, accessibility audit, dark mode audit, mobile audit, or asks for 100/100 Lighthouse improvement guidance.