Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AIDotNet/OpenCoworknpx agentmods add skills/aidotnet/opencowork/creative-production-scene-explorerWrote 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-scene-explorer)<a href="https://agentmods.dev/skills/aidotnet/opencowork/creative-production-scene-explorer"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/creative-production-scene-explorer/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-scene-explorer"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/creative-production-scene-explorer.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 | $0.00073 | $0.01202 |
| Opus 5 | $0.00036 | $0.00601 |
| Sonnet 5 | $0.00015 | $0.00240 |
| Haiku 4.5 | $0.00007 | $0.00120 |
Grade A, and why
creative-production-scene-explorer 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 11d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scene Explorer
Use this skill when the user wants to explore where a product, service, venue, or offer should appear in the real world.
This is the Explore-stage owner for commercial scenes: point of sale, customer decision moments, service environments, retail displays, showroom settings, customer handoffs, demo spaces, and business contexts.
Read references/experience-contract.md before writing the user-facing handoff.
Read references/artifact-contracts.md before creating, repairing, or reporting artifacts.
Read references/codex-exec-image-generation.md before running image generation.
Read references/image-building-strategy.md alongside the Codex exec contract for first-pass imagery rules.
Pipeline Role
Use scene-explorer after the user has a subject anchor or a business category and wants to see that subject in relevant environments.
Use moodboard-explorer when the question is broad mood, taste, audience feeling, or creative territory.
Use offer-explorer when the question is offer-family coverage across the general prompt library.
Use builders or polish skills after a scene is selected:
- Use the mood-board app's Remix controls when rendered scene outputs should become controlled versions by character, style, camera, format, palette, props, or product placement.
generative-polishfor publish-bound marketing image finish.
Scene Definition
Each scene family should define:
sceneArchetype: the reusable commercial moment, such as boutique try-on, consultation counter, demo island, pickup shelf, or trade-show booth.placeholders: variable inputs the scene can accept, such as{subject},{market_context},{customer_type},{tone},{interaction},{supporting_objects},{brand_surface}, and{channel_use}.summary: what business moment it represents.businessGoal: why a business would use it.scene: the visual environment.sceneShape: the compositional shape, such as counter, wall, table, aisle, booth, consultation desk, demo island, or handoff bay.subjectPlacement: where the supplied product, service asset, or offer should appear.subjectSlot: a machine-readable placement contract with slot type, placement, scale, interaction, service fallback, digital fallback, and what to preserve.focus: what the viewer should understand.decision: what business decision the scene helps make.elements: key visible parts.constraints: facts and safety rails.avoid: common failure modes.
What ships with it
8 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.
- assets/scene-library/packs/business-point-of-sale-scenes.json 55 KB
- assets/scene-library/README.md 458 B
- assets/scene-library/registry-index.json 509 B
- references/artifact-contracts.md 9.6 KB
- references/codex-exec-image-generation.md 6.0 KB
- references/experience-contract.md 8.5 KB
- references/image-building-strategy.md 2.3 KB
- references/review-renderer.md 2.9 KB
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.
- 11d ago First seen · 110 lines · 73 tokens per session scan A f32f137241fa
creative-production-scene-explorer is a skill published in the GitHub repository AIDotNet/OpenCowork (635 stars, last pushed 7d ago), licensed Apache-2.0. It adds 73 tokens to every session and 1,202 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 2026-08-30.
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