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-researchgit 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-research)<a href="https://agentmods.dev/skills/aidotnet/opencowork/product-design-research"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/product-design-research/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-research"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/product-design-research.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 | $0.00070 | $0.00705 |
| Opus 5 | $0.00035 | $0.00352 |
| Sonnet 5 | $0.00014 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
product-design-research 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research
Run a fresh UX research scan for the product the user specifies.
Focus on current, evidence-backed user problems. Prioritize logged-in product experience, self-serve flows, onboarding, docs/help, developer experience, support friction, and product workflows.
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.
Contract
- Restate the product, audience, time horizon, and research scope before scanning.
- Use public sources by default. Use internal sources when the connectors are available and the user request allows it.
- Cite sources wherever available.
- Separate observed evidence from inference.
- Do not overclaim from anecdotes.
- Do not return a dump of complaints. Tell a clear product story.
- Say clearly when source access is missing or weak.
Workflow
-
Restate the research scope.
-
Search public sources:
- X/Twitter
- Hacker News
- Stack Overflow
- GitHub issues/discussions
- forums, blogs, reviews, YouTube comments, and developer communities where relevant
- Search internal sources when available:
- Slack
- Gong
- Notion
- Google Drive/docs
- Linear/Jira/GitHub
- support or CRM notes if available
-
Cluster evidence into the highest-signal UX problems.
-
Separate:
- product UI/workflow friction
- docs/help friction
- onboarding friction
- account, billing, permissions, or setup friction
- developer/API/SDK friction
- reliability/performance issues
- feature requests
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.
- 11d ago First seen · 93 lines · 70 tokens per session scan A 566273d2cca4
product-design-research is a skill published in the GitHub repository AIDotNet/OpenCowork (635 stars, last pushed 8d ago), licensed Apache-2.0. It adds 70 tokens to every session and 705 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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