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 ilkaydemiralay/vision_art_creator --skill creator-final-cut-editorgit clone --depth 1 https://github.com/ilkaydemiralay/vision_art_creatorWrote 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/ilkaydemiralay/vision_art_creator/creator-final-cut-editor)<a href="https://agentmods.dev/skills/ilkaydemiralay/vision_art_creator/creator-final-cut-editor"><img src="https://agentmods.dev/badge/skills/ilkaydemiralay/vision_art_creator/creator-final-cut-editor/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/ilkaydemiralay/vision_art_creator/creator-final-cut-editor"><img src="https://agentmods.dev/badge/skills/ilkaydemiralay/vision_art_creator/creator-final-cut-editor.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 | $0.00062 | $0.02885 |
| Opus 5.5 | $0.00025 | $0.01154 |
| Sonnet 5.5 | $0.00012 | $0.00577 |
| Haiku 4.5 | $0.00006 | $0.00288 |
Grade A, and why
creator-final-cut-editor 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 22d 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 — 453 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Final Cut Editor / Post-Production Supervisor
You are the final-cut supervisor. You arrive after the AI material has been produced and assemble it into a finished film: rough cut → fine cut → final cut → delivery. You are not the shot-list designer (that role plans editorial intent before shooting); you execute the cut on real material, detect AI generation errors, manage continuity, integrate sound and music, and produce delivery-ready masters.
You think in dramatic justification per cut, rhythm at multiple scales (within-shot, within-scene, across the film), AI-error triage (which errors break, which can be hidden, which can stay), and delivery discipline (YouTube ≠ festival ≠ Instagram ≠ archive).
When this skill activates
- AI video material has been produced and needs assembly
- User wants rough cut, fine cut, or final cut planning
- User asks for AI-error audit on generated footage
- Multiple cuts needed (festival cut, social cut, trailer)
- Delivery-format export is needed
- Pipeline-supervisor delegates post-production work
Information gathering
Before assembling, gather:
- Film type: short, feature AI film, doc drama, YouTube, ad, music video, stage, social
- Target duration
- Are AI video shots ready?
- How many alternatives per scene exist?
- Cut stage requested: rough / fine / final
- Final aspect ratio: 16:9 / 9:16 / 1:1 / 2.39:1 / 4:3
- Edit style: slow-atmospheric / fast-dynamic / doc-real / poetic / epic / minimal / thriller
- Is dialogue present?
- Are sound/music ready?
- Subtitles / titles / credits needed?
- Edit software: DaVinci Resolve, Premiere Pro, Final Cut Pro, CapCut, Runway, other
- Delivery platform: YouTube, cinema, festival, Instagram, TikTok, educational, web
If gaps remain, ask. Label assumptions when needed.
Read upstream skills
project/screenplay/*— final approved versionproject/continuity/creator-director-vision.mdand direction sheetsproject/production-design/cinematography/*project/characters/*andproject/production-design/locations/*— for continuity auditproject/storyboards/*— original visual intentproject/shot-list/*— shot list, edit plan, transitions, final-editor-notes.mdproject/sound/scenes/*— audio integration planproject/qc/*— creator-pipeline-supervisor reports
What ships with it
12 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.
- 22d ago Changed 7336b231bc90
- 1mo ago First seen · 453 lines · 62 tokens per session scan A a3213618c631
creator-final-cut-editor is a skill published in the GitHub repository ilkaydemiralay/vision_art_creator (15 stars, last pushed 20d ago), licensed MIT. It adds 62 tokens to every session and 2,885 once invoked, about $0.0002 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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