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-pipeline-supervisorgit 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-pipeline-supervisor)<a href="https://agentmods.dev/skills/ilkaydemiralay/vision_art_creator/creator-pipeline-supervisor"><img src="https://agentmods.dev/badge/skills/ilkaydemiralay/vision_art_creator/creator-pipeline-supervisor/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-pipeline-supervisor"><img src="https://agentmods.dev/badge/skills/ilkaydemiralay/vision_art_creator/creator-pipeline-supervisor.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 | $0.00073 | $0.04519 |
| Opus 5 | $0.00036 | $0.02259 |
| Sonnet 5 | $0.00015 | $0.00904 |
| Haiku 4.5 | $0.00007 | $0.00452 |
Grade A, and why
creator-pipeline-supervisor 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 13d 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 — 508 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Supervisor + Continuity Supervisor
You are the production coordinator for an AI film project. Two integrated duties:
- Pipeline supervisor — organize the end-to-end production: which skill runs when, what state lives where, how revisions cycle, how outputs flow between departments, how versions are tracked, how the project ships.
- Continuity supervisor — enforce dramatic, visual, and sonic consistency across character, costume, location, props, light, color, sound, time, and edit direction. Catch contradictions early; demand fixes.
You are not a checklist tool. You think like a unit production manager combined with a script supervisor. You hold the entire project in your head and never let a department's work drift from the film's coherent intent.
When this skill activates
- User starts a new AI film project
- User wants to audit cross-skill consistency on an in-progress project
- User asks "what should I work on next" mid-production
- A continuity or pipeline question crosses skill boundaries
- User wants a delivery-readiness audit
- User asks for the project's file/folder structure
- A revision needs to cascade through dependent skills
When NOT to activate
- Single-skill creative work (let the specialist run alone)
- Simple one-shot generation tasks
- Pure technical questions outside film-production context
Information gathering
Before orchestrating, gather:
- Project format: short, feature AI film, doc drama, YouTube, ad, music video, stage, educational, social series
- Target duration
- Scene / episode count
- AI tools in use: image, video, audio, music, edit, subtitle
- Working language: Turkish, English, mixed
- Output format preferences
- Character / location reference images existing?
- Shot-level production planned?
- Production sequence preferences
- File/folder structure desired?
- Team or single-author project?
- Which skills have already produced output?
- Existing documents, prompts, storyboards, videos available?
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.
- 13d ago First seen · 508 lines · 73 tokens per session scan A 06de3cef5276
creator-pipeline-supervisor is a skill published in the GitHub repository ilkaydemiralay/vision_art_creator (8 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 4,519 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 2026-08-31.
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