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 AIDotNet/OpenCowork --skill creative-production-generative-polishgit clone --depth 1 https://github.com/AIDotNet/OpenCoworkWrote 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/aidotnet/opencowork/creative-production-generative-polish)<a href="https://agentmods.dev/skills/aidotnet/opencowork/creative-production-generative-polish"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/creative-production-generative-polish/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/aidotnet/opencowork/creative-production-generative-polish"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/creative-production-generative-polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.02234 |
| Opus 5 | $0.00032 | $0.01117 |
| Sonnet 5 | $0.00013 | $0.00447 |
| Haiku 4.5 | $0.00006 | $0.00223 |
Grade A, and why
creative-production-generative-polish 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 10d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generative Polish
Generative polish is a bounded creative technique: build the message-critical creative with deterministic tools, generate or edit only the visual finish with ImageGen, then re-compose the final asset deterministically.
The goal is to get premium visual quality without letting generative image tools rewrite approved copy, distort charts, alter product claims, invent UI, or break social placement specs.
Read references/experience-contract.md before writing user-facing plans, handoffs, or artifact links.
Read references/artifact-contracts.md before creating, repairing, or reporting artifacts.
Read references/review-renderer.md before creating local review pages, contact sheets, or asset pack previews.
Read references/codex-exec-image-generation.md before running ImageGen.
Read references/image-building-strategy.md alongside the Codex exec contract for first-pass imagery rules.
When using deterministic SVG, chart, page, or layout exports from another workflow, treat that file as the canonical layer. Do not use generative polish to alter chart data, rewrite approved text, change template status, or replace canonical source artifacts.
Use approved media only when the user provides it or points to a separately maintained source. The plugin no longer bundles a brand-media registry, so publish-bound marketing derivatives should treat media inputs as explicit external references.
Use the mood-board Remix controls before this skill when the user wants to explore changes to an existing output, such as character, scene, product placement, style, palette, copy direction, crop, camera, format, props, layout, or proof/data. Use generative polish after the user has selected a direction and needs publish-bound exactness for text, charts, logos, dimensions, safe zones, filenames, and review metadata.
When this skill receives a selected style system or concrete output format from a focused handoff, treat it as production intent. Build actual reviewable outputs or clearly state the missing production input. Do not return only an inventory, route board, or planning list after the user has asked to continue with a selected style.
What ships with it
5 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.
- 10d ago First seen · 177 lines · 64 tokens per session scan A 20bf3f72c6ca
creative-production-generative-polish is a skill published in the GitHub repository AIDotNet/OpenCowork (635 stars, last pushed 7d ago), licensed Apache-2.0. It adds 64 tokens to every session and 2,234 once invoked, about $0.0003 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 2026-08-30.
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