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 alivirgo/Major-AI-Skills --skill final-cut-progit clone --depth 1 https://github.com/alivirgo/Major-AI-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/alivirgo/major-ai-skills/final-cut-pro)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/final-cut-pro"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/final-cut-pro/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/alivirgo/major-ai-skills/final-cut-pro"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/final-cut-pro.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 | $0.00030 | $0.02269 |
| Opus 5.5 | $0.00012 | $0.00908 |
| Sonnet 5.5 | $0.00006 | $0.00454 |
| Haiku 4.5 | $0.00003 | $0.00227 |
Grade A, and why
final-cut-pro 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 6d 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Final Cut Pro NLE AI Skill Guide (Claude)
Overview & Engine Architecture
Final Cut Pro (macOS) centers on the Magnetic Timeline (primary storyline + connected clips), Libraries (.fcpbundle), Roles, and Apple Silicon Media Engine (ProRes/HEVC). Programmatic authoring is file-based FCPXML (versioned DTD — e.g. 1.11 → 1.12 (FCP 10.8) → 1.13 (FCP 11); newer hosts may export still higher). Headless encodes use Apple Compressor CLI. Motion templates live under ~/Movies/Motion Templates.localized/.
FCP 11+ highlights agents should know: Magnetic Mask, Transcribe to Captions (Apple silicon + Sequoia+), spatial video, higher timeline fps (90/100/120).
┌─────────────────────────────────────────────────────────────┐
│ Final Cut Pro interchange loop │
│ │
│ Editorial │
│ ├── Library.fcpbundle → Events → Projects │
│ ├── Magnetic Timeline / Multicam / Compound clips │
│ └── Roles, captions, Motion titles │
│ │
│ Automation │
│ ├── FCPXML (rational times, resources, spine) │
│ ├── DTD gate via xmllint against host DTD │
│ └── Compressor CLI (.cmprstng / batch) │
│ │
│ Media engine │
│ ├── ProRes / ProRes RAW / proxy media │
│ └── Background render + optical flow caches │
└─────────────────────────────────────────────────────────────┘
When to use / when not to
Use when
- Generating/validating FCPXML for assembly, markers, roles, or captions handoff.
- Library hygiene (delete generated render files) and proxy workflows.
- Batch delivery via Compressor presets.
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.
- 6d ago Changed · +50 lines · +4 tokens per session 36da87ff4343
- 1mo ago Changed · -25 tokens per session 07c6d6d21ec4
- 2mo ago First seen · 177 lines · 51 tokens per session scan A 067208ac7b37
final-cut-pro is a skill published in the GitHub repository alivirgo/Major-AI-Skills (2 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 2,269 once invoked, about $0.0001 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 2026-08-31.
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