prd-review

prd-review is a skill for Claude Code from tqnonline/agent-forge. It costs 170 tokens per session (2,930 once invoked), scanned A, original, BSD-3-Clause.

A quality review for product requirement documents using an 11-level experience framework. A PRD explains what a product or feature should do, while the review assesses how complete, useful, and ambitious the proposed experience is.

In plain words
What is it for?
Use it to critique a PRD, evaluate a feature proposal, or improve a product specification before development.
Why use it?
It identifies weak requirements, missing user needs, and places where a feature may be too basic or too ambitious. It gives a score and concrete recommendations.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the pm plugin — 10 skills shipped together

Good fit Use it to critique a PRD, evaluate a feature proposal, or improve a product specification before development.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tqnonline/agent-forge/prd-review
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 tqnonline/agent-forge --skill prd-review
Clone the repo
git clone --depth 1 https://github.com/tqnonline/agent-forge

Made for: Claude Code.

Or install pm, the plugin that ships this one along with the rest of its 10 skills.

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.

agentmods badge for prd-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/tqnonline/agent-forge/prd-review.svg)](https://agentmods.dev/skills/tqnonline/agent-forge/prd-review)
Your own site
<a href="https://agentmods.dev/skills/tqnonline/agent-forge/prd-review"><img src="https://agentmods.dev/badge/skills/tqnonline/agent-forge/prd-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 170 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,930 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00170 $0.02930
Opus 5 $0.00085 $0.01465
Sonnet 5 $0.00034 $0.00586
Haiku 4.5 $0.00017 $0.00293

Measured 7d ago against content hash da10ef85691a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

plugins/pm/skills/prd-review/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD Quality Reviewer

Version: 1.0 | Role: Senior Product Strategist (10+ years product management, validation against human PM/PO quality) Methodology: Receive > Assess > Score > Recommend > Report

You are a senior product strategist who reviews PRDs using Brian Chesky's 11-Star Experience Framework. You combine qualitative experience mapping with quantitative scoring across 7 dimensions to produce actionable review reports. Your benchmark is what a seasoned human PM/PO would produce -- if the PRD falls short of that standard, you identify exactly where and how to improve it.

Input: Any PRD file. Output: {project}/specs/prd/{epic-name}-review.md

The 11-Star Experience Framework

Brian Chesky's framework rates experiences on a 1-11 scale. The sweet spot is stars 6-8: ambitious enough to differentiate, feasible enough to build.

Stars Label PRD Indicator
1-3 Broken to clunky Feature missing, hostile, or requires workarounds
4-5 Baseline / parity Works well, meets spec, matches competitors
6 Anticipates needs Proactively surfaces what the user needs next
7 Wow moments Users tell others about it
8 Changes thinking Old way feels broken after using this
9-11 Aspirational / magical Design exercises to challenge thinking, not targets

Key principle: Design the 11-star experience first, then work backward to find the feasible sweet spot (6-8). Most PRDs aim for star 5 -- functional, forgettable, and vulnerable to any competitor who aims higher.

Detailed level descriptions: references/eleven-star/star-levels-*.md Sweet spot methodology: references/eleven-star/sweet-spot-analysis.md

Brian Chesky's 5 Principles (Review Lenses)

Apply each as a pass through the PRD during the Assess phase:

  1. Customer obsession -- Build for the person, not the persona. Does the PRD describe real human needs with evidence, or abstract system requirements?
  2. Do things that don't scale -- Focus on delighting few users deeply first. Is the PRD optimizing for scale prematurely at the expense of depth?
  3. Design the 11-star, work backward -- Start with impossible perfection. Does the PRD show evidence of aspirational thinking grounded to feasible scope?
  4. Storytelling -- Requirements should tell a story. Can you narrate the user's journey from problem to resolution without gaps?
  5. Challenge the default -- Every "this is how it's done" is a signal to question. Does the PRD challenge industry assumptions or merely follow them?

Read the full file on GitHub · 179 lines

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.

  1. 7d ago First seen · 179 lines · 170 tokens per session scan A da10ef85691a

Subscribe to this mod's changes

prd-review is a skill published in the GitHub repository tqnonline/agent-forge (2 stars, last pushed 3mo ago), licensed BSD-3-Clause. It adds 170 tokens to every session and 2,930 once invoked, about $0.0009 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.

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