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 yuusakuri/agent-skills --skill wwasgit clone --depth 1 https://github.com/yuusakuri/agent-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/yuusakuri/agent-skills/wwas)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/wwas"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-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.
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/wwas"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/wwas.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 | $0.00048 | $0.00640 |
| Opus 5 | $0.00024 | $0.00320 |
| Sonnet 5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
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 4d 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.
This is a copy
100% identical to wwas — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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
- Define the strategic Why - Connect work to business and team objectives
- Describe the What - Keep descriptions concise, reference designs
- Write Acceptance Criteria - High-level, not detailed specifications
- Ensure independence - Items can be developed in any order
- Keep items negotiable - Invite team conversation, not constraints
- Make items valuable - Each delivers measurable user or business value
- Ensure testability - Outcomes are observable and verifiable
- 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.
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.
- 4d ago First seen · 70 lines · 48 tokens per session scan A 7fad2bed1604
wwas is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 3d 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. It is 100% identical to wwas, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
recipe-create-meet-space
Create a Google Meet meeting space and share the join link.
workthreads
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
story-readiness
Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is…
autotask-creator
Rules for automation CRUD from the group-chat commander. The commander does not call mutation tools and does not edit cloud/autotasks files directly. It emits one or more top-level ... containers in its final text; the bus parses and applies them after the turn.
remove
Remove a deployed framework or addon from the current workspace.