wwas

wwas is a skill for Claude Code from phuryn/pm-skills. It costs 48 tokens per session (640 once invoked), scanned A, original, MIT.

A backlog-writing guide using Why-What-Acceptance: why the work matters, what will be built, and how to tell when it is done. A backlog is the ordered list of work a product team may do.

In plain words
What is it for?
Use it to break features into small, independent work items that are valuable, estimable for one sprint, and easy to verify.
Why use it?
It removes vague work descriptions and connects each item to a business or user goal while keeping the result open to team discussion.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-execution plugin — 16 skills, 11 commands shipped together

Good fit Use it to break features into small, independent work items that are valuable, estimable for one sprint, and easy to verify.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phuryn/pm-skills/wwas
About the project

phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.

phuryn/pm-skills · 26,131 stars · on GitHub · productcompass.pm

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 phuryn/pm-skills --skill wwas
Clone the repo
git clone --depth 1 https://github.com/phuryn/pm-skills

Made for: Claude Code.

Or install pm-execution, the plugin that ships this one along with the rest of its 16 skills, 11 commands.

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 wwas

README.md
[![agentmods](https://agentmods.dev/badge/skills/phuryn/pm-skills/wwas/github.svg)](https://agentmods.dev/skills/phuryn/pm-skills/wwas)
Your own site
<a href="https://agentmods.dev/skills/phuryn/pm-skills/wwas"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/wwas/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.

agentmods 80×15 button for wwas

Your own site · 80×15
<a href="https://agentmods.dev/skills/phuryn/pm-skills/wwas"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/wwas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 640 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
  • Socket pass 18 Mar 2026
  • Snyk pass 4 Mar 2026
  • 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00640
Opus 5 $0.00024 $0.00320
Sonnet 5 $0.00010 $0.00128
Haiku 4.5 $0.00005 $0.00064

Measured 10d ago against content hash 7fad2bed1604, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

wwas 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 10d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • wwas — 100% identical, 0 lines differ
  • wwas — 100% identical, 0 lines differ
pm-execution/skills/wwas/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Why-What-Acceptance (WWA)

Create product backlog items in Why-What-Acceptance format. Produces independent, valuable, testable items with strategic context.

Use when: Writing backlog items, creating product increments, breaking features into work items, or communicating strategic intent to teams.

Arguments:

  • $PRODUCT: The product or system name
  • $FEATURE: The new feature or capability
  • $DESIGN: Link to design files (Figma, Miro, etc.)
  • $ASSUMPTIONS: Key assumptions and strategic context

Step-by-Step Process

  1. Define the strategic Why - Connect work to business and team objectives
  2. Describe the What - Keep descriptions concise, reference designs
  3. Write Acceptance Criteria - High-level, not detailed specifications
  4. Ensure independence - Items can be developed in any order
  5. Keep items negotiable - Invite team conversation, not constraints
  6. Make items valuable - Each delivers measurable user or business value
  7. Ensure testability - Outcomes are observable and verifiable
  8. Size appropriately - Small enough for one sprint estimate

Item Template

Title: [What will be delivered]

Why: [1-2 sentences connecting to strategic context and team objectives]

What: [Short description and design link. 1-2 paragraphs maximum. A reminder of discussion, not detailed specification.]

Acceptance Criteria:

  • [Observable outcome 1]
  • [Observable outcome 2]
  • [Observable outcome 3]
  • [Observable outcome 4]

Example WWA Item

Title: Implement Real-Time Spending Tracker

Why: Users need immediate feedback on spending to make conscious budget decisions. This directly supports our goal to improve financial awareness and reduce overspending.

What: Add a real-time spending tracker that updates as users log expenses. The tracker displays their current week's spending against their set budget. Designs available in [Figma link]. This is a reminder of our discussions - detailed specifications will emerge during development conversations with the team.

Read the full file on GitHub · 70 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. 10d ago First seen · 70 lines · 48 tokens per session scan A 7fad2bed1604

Subscribe to this mod's changes

wwas is a skill published in the GitHub repository phuryn/pm-skills (26,131 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 640 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 2026-08-30.

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