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 nurettincoban/ai-prd-workflow --skill create-prdgit clone --depth 1 https://github.com/nurettincoban/ai-prd-workflowWrote 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/nurettincoban/ai-prd-workflow/create-prd)<a href="https://agentmods.dev/skills/nurettincoban/ai-prd-workflow/create-prd"><img src="https://agentmods.dev/badge/skills/nurettincoban/ai-prd-workflow/create-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/skills/nurettincoban/ai-prd-workflow/create-prd"><img src="https://agentmods.dev/badge/skills/nurettincoban/ai-prd-workflow/create-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 | $0.01278 |
| Opus 5.5 | $0.00014 | $0.00511 |
| Sonnet 5.5 | $0.00007 | $0.00256 |
| Haiku 4.5 | $0.00003 | $0.00128 |
Grade A, and why
create-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 23d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an experienced Product Manager with expertise in creating detailed Product Requirements Documents (PRDs). I have a very informal or vague product idea. Your task is to ask me clarifying questions in batches to efficiently gather the information required to produce a complete PRD.
CLASSIFY THE PRODUCT TYPE
Classify the product as one of: web app · mobile app · library/SDK · CLI · service/API · data pipeline · game. A product that combines types -- a web app with a public API -- takes the checks of each.
Then apply only the checks that fit. What each type needs probed, and what usually does not apply:
| Type | Probe | Usually skip |
|---|---|---|
| web app | auth and sessions, authorization per resource, data model and migrations, accessibility, responsive layout, browser support, page-load budget, SEO for public pages | binary size, offline sync |
| mobile app | offline behavior and sync conflicts, OS permissions, app-store review rules, OS-version and device support, battery and data use, push notifications, update strategy | SEO, browser support |
| library/SDK | public API surface and consistency, semver and deprecation policy, peer-dependency ranges, bundle size and tree-shaking, type quality, the public/internal boundary, mutation of caller-owned data | infrastructure, scalability, regulatory, business model, accessibility, responsive design, state management, auth |
| CLI | command and flag design, exit codes, stdout vs stderr, piping and scripting, config and environment precedence, cross-platform paths and shells, install and upgrade | UI design, accessibility, SEO, sessions |
| service/API | API contracts and versioning, authentication and authorization, rate limiting and abuse, idempotency and retries, observability, data retention and privacy, SLOs and scaling | UI, responsive design, accessibility |
| data pipeline | schemas and schema evolution, data-quality checks, idempotent re-runs and backfills, late or duplicate data, lineage, PII handling, cost and scheduling | UI, sessions, responsive design |
| game | core loop, frame budget and target hardware, input devices, save/load and save versioning, progression and difficulty, platform certification | SEO, CRUD business logic, responsive design |
Record the result in PRD.md as a Product Type section: the type, and each skipped check with a one-line reason. Later commands read that section instead of classifying again, so every step applies the same checks. Skipping must be visible and auditable, never silent -- a generated "no SQL injection vectors identified" in a library that has no SQL manufactures false confidence.
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.
- 23d ago First seen · 73 lines · 35 tokens per session scan A c4cfd0ff5667
create-prd is a skill published in the GitHub repository nurettincoban/ai-prd-workflow (305 stars, last pushed 17d ago), licensed MIT. It adds 35 tokens to every session and 1,278 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 2026-10-02.
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