prd-intake

prd-intake is a skill for Claude Code, Codex from CoffeeCheese/easy-prd-testing. It costs 32 tokens per session (424 once invoked), scanned A, original, MIT.

A requirements-review guide for examining product documents, prototype images, field baselines, or product notes before creating tests. It identifies what a feature contains, what it depends on, and what still needs confirmation.

In plain words
What is it for?
Use it to define a feature's boundaries, fields, lists, buttons, permissions, risky actions, and test-data assumptions before test planning begins.
Why use it?
It prevents test plans from being based on missing, ambiguous, or conflicting requirements, and records whether each detail came from a document, prototype, or user input.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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.

agentmods
npx agentmods add skills/coffeecheese/easy-prd-testing/prd-intake
Any agent
npx skills add CoffeeCheese/easy-prd-testing --skill prd-intake
Clone the repo
git clone --depth 1 https://github.com/CoffeeCheese/easy-prd-testing

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.

agentmods badge for prd-intake

README.md
[![agentmods](https://agentmods.dev/badge/skills/coffeecheese/easy-prd-testing/prd-intake.svg)](https://agentmods.dev/skills/coffeecheese/easy-prd-testing/prd-intake)
Your own site
<a href="https://agentmods.dev/skills/coffeecheese/easy-prd-testing/prd-intake"><img src="https://agentmods.dev/badge/skills/coffeecheese/easy-prd-testing/prd-intake.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 424 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00032 $0.00424
Opus 5 $0.00016 $0.00212
Sonnet 5 $0.00006 $0.00085
Haiku 4.5 $0.00003 $0.00042

Measured 5d ago against content hash e2bbca9ebe91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

prd-intake 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.

skills/prd-intake/SKILL.md · 74 lines

What it actually says

PRD Intake

Goal

Convert PRD, prototype, field baseline, or product notes into a clarified source understanding for test planning.

Input Gate

At least one of these inputs is required:

  • PRD document.
  • Prototype image or prototype link.
  • Field baseline.
  • User-provided product notes.

If none is available, ask for the source material and stop.

If the module name is missing, ask for the module name and do not create directories.

Analysis Rules

Extract:

  • Module boundary.
  • Dependent modules.
  • External jumps.
  • Feature points.
  • Query fields.
  • List fields.
  • Detail fields.
  • Buttons.
  • Dialog fields.
  • Permission requirements.
  • High-risk actions.
  • Test data assumptions.

Mark each extracted item with its source: PRD, prototype, field baseline, or user supplement.

When PRD and prototype conflict, treat the PRD as the default source and list the conflict as pending confirmation.

Anything inferred only from a prototype must be marked as pending user confirmation.

Clarification Rules

Ask one clarification question at a time. Do not combine unrelated missing information in one message.

Prefer asking about the earliest blocker:

  1. Module name.
  2. Module boundary.
  3. Field meaning or missing field source.
  4. Permission or role requirement.
  5. High-risk action behavior.
  6. Test data assumption.

Output

When enough information exists for planning, produce a concise intake summary.

Create 00-资料分析与待确认问题.md only after both module name and output root directory are confirmed. The file must be placed under:

<output-root>/easy-prd-testing/testing/<module-name>/

If the output root is not confirmed, output the intake summary in chat only and do not create files.

Do not generate 01-04; that belongs to test-planning.

Files

What ships with it

1 file 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.

  1. 5d ago First seen · 74 lines · 32 tokens per session scan A e2bbca9ebe91

Subscribe to this mod's changes

prd-intake is a skill published in the GitHub repository CoffeeCheese/easy-prd-testing (2 stars, last pushed 24d ago), licensed MIT. It adds 32 tokens to every session and 424 once invoked, about $0.0002 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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