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 cuongtl1992/vibe-skills --skill lean-prdgit clone --depth 1 https://github.com/cuongtl1992/vibe-skillsWrote 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/cuongtl1992/vibe-skills/lean-prd)<a href="https://agentmods.dev/skills/cuongtl1992/vibe-skills/lean-prd"><img src="https://agentmods.dev/badge/skills/cuongtl1992/vibe-skills/lean-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/cuongtl1992/vibe-skills/lean-prd"><img src="https://agentmods.dev/badge/skills/cuongtl1992/vibe-skills/lean-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 | $0.00168 | $0.03202 |
| Opus 5.5 | $0.00067 | $0.01281 |
| Sonnet 5.5 | $0.00034 | $0.00640 |
| Haiku 4.5 | $0.00017 | $0.00320 |
Grade A, and why
lean-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 2mo 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 — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lean PRD — Business Rules & Workflow First
Viết PRD rút gọn cho AI-first engineering. Output tập trung vào Business Rules (mỗi rule = 1 testable contract) và Workflow (state machine) để:
- Gen engineer (AI hoặc người) có thể code trực tiếp từ spec
prd-to-gherkinchuyển thành Gherkin feature file không cần đoánprd-to-mockuprender wireframe từ Screen States
Triết lý
PRD không phải tài liệu giao tiếp — PRD là executable specification.
Mỗi phần trong output đều có consumer rõ ràng:
Lean PRD section → Consumer
────────────────────────────────────
Bối cảnh → Feature: description (Gherkin)
Domain Context → Step language + domain models
Workflow → State machine code + scenario ordering
Business Rules → Rule: blocks (Gherkin) + validation logic
Screen States → prd-to-mockup → UI components
Open Questions → # TODO: comments (Gherkin)
Bỏ: Success Metrics, Timeline, Assumptions, Dependencies → tách doc riêng nếu cần.
Ngôn ngữ
Luôn dùng tiếng Việt cho toàn bộ nội dung PRD. Chỉ dùng tiếng Anh cho:
- Thuật ngữ kỹ thuật đã phổ biến (status, entity, trigger...)
- Mermaid syntax
- Nếu user viết tiếng Anh thì follow theo
Workflow: Phỏng vấn → Viết → Review
Phase 1 — Phỏng vấn nhanh (2-4 câu)
Không bao giờ viết spec ngay. Hỏi trước, nhưng gọn và có mục đích.
Câu mở đầu:
"Trước khi viết spec, mô tả giúp mình: feature này giải quyết vấn đề gì, cho ai, và luồng chính (happy path) trông như thế nào?"
Hỏi thêm chỉ khi thiếu:
| Thiếu gì | Hỏi gì |
|---|---|
| Luồng chính chưa rõ | "Mô tả step-by-step: user bắt đầu từ đâu, làm gì, kết thúc ở đâu?" |
| Business rules mờ | "Có rule nào bắt buộc không? VD: ai được phép, điều kiện gì phải đúng, giới hạn gì?" |
| Edge cases | "Trường hợp nào user KHÔNG được làm? Hoặc hệ thống phải từ chối?" |
| Scope boundary | "Có gì chắc chắn KHÔNG nằm trong scope lần này?" |
Dừng hỏi khi đã có: luồng chính, 3+ business rules cụ thể, và biết scope in/out. Thường 2-4 lượt trao đổi.
What ships with it
2 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.
- 2mo ago First seen · 340 lines · 0 tokens per session scan A 4767f69b5b38
lean-prd is a skill published in the GitHub repository cuongtl1992/vibe-skills (11 stars, last pushed 7mo ago), licensed MIT. It adds 168 tokens to every session and 3,202 once invoked, about $0.0007 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 2026-08-31.
lean-prd compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lean-prdcuongtl1992/vibe-skills | Skill | 11 | 7mo ago | MIT | A | 168 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 3d ago | MIT | A | 200 | Claude Code, Codex |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |