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-offer-explorergit 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-offer-explorer)<a href="https://agentmods.dev/skills/aidotnet/opencowork/creative-production-offer-explorer"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/creative-production-offer-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-offer-explorer"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/creative-production-offer-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 | $0.00051 | $0.02318 |
| Opus 5 | $0.00026 | $0.01159 |
| Sonnet 5 | $0.00010 | $0.00464 |
| Haiku 4.5 | $0.00005 | $0.00232 |
Grade A, and why
creative-production-offer-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 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.
Offer Explorer
Generate product-, digital-product-, venue-, service-, or experience-specific image prompts across the business visual prompt library, then package the outputs as a reviewable offer exploration: prompt manifest, JSONL batch, individual images, contact sheet, and HTML gallery.
Read references/experience-contract.md before writing the user-facing handoff or reporting artifact links.
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 it to test one product, packaging reference, digital product UI, venue, service experience, or product concept across the prompt-family library. It produces directional evidence and handoff specs, not canonical production assets.
The default core family run is 25 starter prompt families. The number describes starter directions in the pack, not a required mood-board tile count. Generate one image per selected family only when the user asks for generation or clearly wants the complete review gallery.
Explorer outputs should include offer facts to preserve, family or route coverage, a prompt manifest, generated images when requested, a contact sheet or review gallery, recommended directions, and a concise build handoff for the next skill.
Use active Build/Polish owners only after a canonical or selected base exists:
- Use the mood-board app's Remix controls for controlled variations after a review gallery has concrete outputs to vary.
generative-polishfor publish-bound marketing finish.
Use moodboard-explorer first when the request is broader than an offer anchor: campaign mood, brand direction, audience feel, or creative territory exploration.
Use scene-explorer first when the request is primarily about environments, customer moments, point-of-sale scenes, venue/service contexts, or where a supplied offer should appear in the real world.
What ships with it
10 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/offer-library/packs/cross-industry-product-ad-archetypes.json 63 KB
- assets/offer-library/README.md 580 B
- assets/offer-library/registry-index.json 536 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/packs/digital-product-placements.json 15 KB
- references/review-renderer.md 2.9 KB
- scripts/build_offer_explorer.py 21 KB runs code
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 · 51 tokens per session scan A bf6b22356e9f
creative-production-offer-explorer is a skill published in the GitHub repository AIDotNet/OpenCowork (635 stars, last pushed 7d ago), licensed Apache-2.0. It adds 51 tokens to every session and 2,318 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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