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 product-design-auditgit 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/product-design-audit)<a href="https://agentmods.dev/skills/aidotnet/opencowork/product-design-audit"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/product-design-audit/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/product-design-audit"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/product-design-audit.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 | $0.00090 | $0.01703 |
| Opus 5 | $0.00045 | $0.00851 |
| Sonnet 5 | $0.00018 | $0.00341 |
| Haiku 4.5 | $0.00009 | $0.00170 |
Grade A, and why
product-design-audit 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 12d 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.
This is a copy
88% identical to audit — 59 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit
Use this skill when the user wants to audit, review, critique, inspect, assess, analyze, evaluate, or give feedback on a product flow, journey, funnel, onboarding path, checkout path, settings path, screen, or other product experience.
The output is not a loose opinion. The output is:
- Screenshots of the flow
- Those screenshots placed in the chosen destination
- A numbered step list
- UX and design findings tied to steps or screenshots
- Accessibility risks tied to steps or screenshots
- Clear limits on what could not be checked from screenshots alone
Critical Overrides
- Refer to the Plugin router $index before proceeding.
- Follow $critical-overrides.
User Context
Before starting, load $user-context and run its preflight script when local shell access is available.
Use saved product URLs, Figma files, screenshots, reference images, codebase paths, Storybook, tokens, design systems, brand assets, component refs, browser preferences, and share targets as grounding material when relevant.
Do not inspect every saved reference. Inspect only what the current task needs.
Route
Before auditing:
- Identify the product or surface.
- Identify the flow or task.
- Identify the destination.
- Choose the capture tool.
- Capture the flow.
- Save, inspect, place, and annotate each screenshot.
Destination rules:
- If the user names Figma, use Figma.
- If the user names a local folder, use that folder.
- If the destination is missing, ask one question: "Should I put this in Figma or a local folder?"
Capture rules:
- Use the OpenCowork in-app Browser first.
- If Browser cannot access, control, or screenshot the target, use Chrome [Internal].
- If Browser and Chrome cannot complete the capture, ask before using Playwright as the fallback.
- If none of those can capture valid screenshots or control the flow, stop and report the blocker.
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.
- 12d ago First seen · 160 lines · 90 tokens per session scan A 20f89bc12a1e
product-design-audit is a skill published in the GitHub repository AIDotNet/OpenCowork (637 stars, last pushed 9d ago), licensed Apache-2.0. It adds 90 tokens to every session and 1,703 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to audit, differing in 59 lines, and is treated as a copy.
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