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.
git clone --depth 1 https://github.com/luiscielak/ai-product-design-rulesWrote 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/rules/luiscielak/ai-product-design-rules/02-prd)<a href="https://agentmods.dev/rules/luiscielak/ai-product-design-rules/02-prd"><img src="https://agentmods.dev/badge/rules/luiscielak/ai-product-design-rules/02-prd/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/rules/luiscielak/ai-product-design-rules/02-prd"><img src="https://agentmods.dev/badge/rules/luiscielak/ai-product-design-rules/02-prd.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 | $0.00035 | $0.00636 |
| Opus 5.5 | $0.00014 | $0.00254 |
| Sonnet 5.5 | $0.00007 | $0.00127 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
02-prd 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 5d 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.
What it actually says
Product Owner → Generate PRD
- Command:
/prdor/prd using docs/design-brief.md - Role: Product Owner
- Purpose: Create a concise, actionable PRD to align scope, requirements, and metrics.
- Prerequisites: Project structure should exist (run
/new-projectfirst if needed) - Required Inputs:
product_name,target_users,key_problem,business_goals,success_metricsprimary_flows(list),constraints,assumptions,risks,stakeholders,timeline- Optional: Reference to existing design brief (e.g., "using docs/design-brief.md" or "from design-brief.md")
- Behavior:
- If design brief is referenced: Read the design brief file first and extract relevant information to populate PRD sections
- If no design brief: Validate inputs; ask for missing critical info only once, then proceed with best assumptions
- Keep PRD short but complete; prefer bullet points and measurable criteria
- Automatically search for and reference existing design briefs in
docs/directory if not explicitly provided - If project_name not provided, infer from current directory or ask once
- Note: When working within a project directory (
projects/{project_name}/), use relative paths (e.g.,docs/PRD.md)
- Output:
- File:
docs/PRD.md(relative to project directory) - Format:
- Overview: product_name, elevator_pitch, problem_statement
- Goals and Non-Goals
- Target Users and Personas
- User Stories (INVEST format) and Primary Flows
- Scope (MVP vs. Post-MVP)
- Functional Requirements (numbered FR-001, FR-002…)
- Non-Functional Requirements (NFR-001, NFR-002…: performance, security, accessibility)
- Acceptance Criteria (Gherkin-style where useful: Given/When/Then)
- Success Metrics (north star + leading indicators; baselines and targets)
- Dependencies and Constraints
- Assumptions and Open Questions
- Risks and Mitigations
- Release Plan and Milestones
- File:
- Acceptance:
- All FRs map to at least one user story and metric
- Each metric has a target, timeframe, and measurement method
- PRD is actionable and scoped appropriately for MVP
- File is saved to correct location and properly formatted
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.
- 5d ago First seen · 44 lines · 35 tokens per session scan A e4558b26d0bc
02-prd is a cursor rule published in the GitHub repository luiscielak/ai-product-design-rules (4 stars, last pushed 5d ago), licensed MIT. It adds 35 tokens to every session and 636 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-28.
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