A structured review of an existing product requirements document, or PRD—a document describing what should be built and why. It checks the document from product, engineering, and testing perspectives.

Use it to review a PRD, rank its problems, draft revisions, and judge whether it is ready for an implementation plan.

It finds missing details, contradictions, untestable outcomes, and implementation blockers before development starts.

prd-review — Skill for Claude Code and Codex by PANGKAIFENG

Install

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.

Any agent

npx skills add PANGKAIFENG/ai-product-manager-skills --skill prd-review

Clone the repo

git clone --depth 1 https://github.com/PANGKAIFENG/ai-product-manager-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/pangkaifeng/ai-product-manager-skills/prd-review/github.svg)](https://agentmods.dev/skills/pangkaifeng/ai-product-manager-skills/prd-review)

Your own site

<a href="https://agentmods.dev/skills/pangkaifeng/ai-product-manager-skills/prd-review"><img src="https://agentmods.dev/badge/skills/pangkaifeng/ai-product-manager-skills/prd-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/pangkaifeng/ai-product-manager-skills/prd-review"><img src="https://agentmods.dev/badge/skills/pangkaifeng/ai-product-manager-skills/prd-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 151 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,397 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00151	$0.02397
Opus 5	$0.00076	$0.01198
Sonnet 5	$0.00030	$0.00479
Haiku 4.5	$0.00015	$0.00240

Measured 12d ago against content hash 64eed527c4aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

prd-review 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check_prd_shape.py, scripts/check_prd_version_history.py, scripts/validate_drawio.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/prd-review/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD 评审（prd-review）

中文速查

中文名：PRD 评审 / 需求评审
英文稳定名：prd-review
你可以这样叫我：帮我审 PRD、从研发测试视角挑问题、这个需求文档能不能交付开发、帮我补一版修订草案、检查 PRD 图示是否可编辑
适合：已经有 PRD/handoff，需要发现阻断项、重要缺口、用户结果不可验证、工程无法落地的地方
不适合：从零写 PRD，改用 prd-architect；PRD 背后的方案可行性压测改用 grill-me；只做语言润色时不需要触发

Overview

这个 Skill 评审的是 PRD / handoff artifact 是否能支撑交付。默认输出结构化 review report、按严重程度排序的 findings、可回填的 revision draft，以及 Implementation-Plan Readiness verdict。

它不是 PRD 生成器，也不是一问一答方案压力测试器：

没有 PRD 或只有模糊想法：转 prd-architect 或 ai-collaboration-calibration。
关心“这个方案本身会不会失败”：转 grill-me。
要把 ready PRD 拆 GitHub issues：转 prd-to-issues。
要文件级开发计划：转 Superpowers writing-plans。

Loop Extension

当用户明确需要“多轮评审”“关闭阻断项”“继续上一轮 review”“判断是否能进 writing-plans”“跟踪修订状态”或“把 PRD 收敛到可交付开发计划”时，读取 references/prd-readiness-loop-contract.md。

不要因为用户只是要求一次普通 PRD review 就创建状态文件；只有需要多轮收敛、可恢复状态或 readiness tracking 时才启用 Loop contract。

Inputs

优先读取：

handoff 文档：功能背景、目标用户、范围、风险与已确认事实。
PRD 初稿：当前结构、已写事实、隐含假设、缺口和冲突。

可选补充：

本轮关注视角或维度。
用户明确担心的问题。
相关 UI、架构图、历史评审意见。
docs/templates-local/ override；如存在，应按 local override 理解正文结构。

如果输入不完整：

明确哪些结论来自 handoff，哪些来自 PRD 当前写法，哪些是 review 推断。
无法下结论的地方输出待确认问题，不强行补脑。
输入还不足以 review 时，建议先回到 prd-architect。

Workflow

Establish scope
- 记录 PRD / handoff 来源、本轮 review 目标、事实与假设边界。
- 判断是否应转 prd-architect、grill-me、prd-to-issues 或 writing-plans。
Load review assets
- 默认读取 references/review-lenses.md 和 references/severity-rules.md。
- 当需要输出完整 report 或 revision draft 时读取 references/output-contract.md。
- 当用户问“能不能交付开发 / 能不能进 writing-plans”时读取 references/implementation-plan-readiness.md。
- 当 PRD 包含或应包含流程图、架构图、系统关系图、AI 协作链路图时读取 references/diagram-review.md。
- 当 PRD 看起来过重、过技术化或模板章节误激活时读取 references/prd-shape-gates.md。
Review the PRD
- 至少从 PM、研发、测试三个视角 review。
- 合并重复问题，不要按角色输出三份重复报告。
- findings 必须包含：严重程度、视角、位置、问题、影响、建议改法。
- 图示相关结论必须区分：文本要求缺失、文件实际校验失败、未能验证。
Run deterministic checks when possible
- 有本地 PRD 文件且疑似过技术化时运行：

Read the full file on GitHub · 166 lines

Files

What ships with it

12 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.

Changes

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 · 166 lines · 151 tokens per session scan A 64eed527c4aa

Subscribe to this mod's changes

prd-review is a skill published in the GitHub repository PANGKAIFENG/ai-product-manager-skills (11 stars, last pushed 12d ago), licensed MIT. It adds 151 tokens to every session and 2,397 once invoked, about $0.0008 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 2026-08-31.

Planning agent-skills ai-product-management ai-product-manager ai-workflows claude-skills codex-skills

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