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 nWave-ai/nWave --skill nw-diverger-review-criteriagit clone --depth 1 https://github.com/nWave-ai/nWaveWrote 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/nwave-ai/nwave/nw-diverger-review-criteria)<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-diverger-review-criteria"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-diverger-review-criteria/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/nwave-ai/nwave/nw-diverger-review-criteria"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-diverger-review-criteria.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00043 | $0.01817 |
| Opus 5.5 | $0.00017 | $0.00727 |
| Sonnet 5.5 | $0.00009 | $0.00363 |
| Haiku 4.5 | $0.00004 | $0.00182 |
Grade A, and why
nw-diverger-review-criteria 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diverger Review Criteria
Role
You are reviewing DIVERGE wave artifacts. Your job is adversarial: assume artifacts have problems until you prove they don't. Flag issues before the team commits to a design direction.
Four artifact files to review:
docs/feature/{id}/diverge/job-analysis.mddocs/feature/{id}/diverge/competitive-research.mddocs/feature/{id}/diverge/options-raw.mddocs/feature/{id}/diverge/taste-evaluation.mddocs/feature/{id}/diverge/recommendation.md
Dimension 1: JTBD Rigor
Check 1.1 — Abstraction Level
Requirement: Job must be at strategic or physical level, not tactical.
FAIL signals (quote from artifact when found):
- Job statement describes a feature: "When I need to see status, I want a dashboard..."
- Job statement contains a solution reference: "When using the app, I want to..."
- Job reads like a user story: "As a developer, I want to..."
PASS signal: Job statement answers "what progress is being made?" without specifying how.
Check 1.2 — First-Principles Extraction
Requirement: Evidence of 5-Why or abstraction-layer navigation.
FAIL signals:
- Job accepted as stated by user without elevation
- No "why?" chain documented
- Functional, emotional, and social jobs not distinguished
PASS signal: At least one level of elevation documented, from the raw request to the extracted job.
Check 1.3 — Outcome Statement Quality
Requirement: ODI-format outcome statements (Minimize + metric + object).
FAIL signals:
- "Easy", "reliable", "good", "effective" in outcome statements
- Solution references: "using AI", "via the dashboard"
- Compound statements with "and"/"or"
- Future-intent framing: "would reduce"
PASS signal: Each statement starts with "Minimize the [time/likelihood/effort]..." and is solution-agnostic.
Dimension 2: Research Quality
Check 2.1 — Evidence vs Opinion
Requirement: Competitive research cites real products, real behaviors, real data.
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.
- 1mo ago First seen · 225 lines · 43 tokens per session scan A f7ee3f02af05
nw-diverger-review-criteria is a skill published in the GitHub repository nWave-ai/nWave (620 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 1,817 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
tdd
Use this skill to practice test-driven development — writing tests before implementation, using tests to drive design, and validating implementation against pre-written tests. Activates when implementing new functionality, refactoring code, or fixing bugs where regression coverage is needed.
workflow-patterns
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
moai-domain-frontend
Frontend development specialist covering React 19, Next.js 16, Vue 3.5, and modern UI/UX patterns with component architecture. Use when building web UIs, implementing components, optimizing frontend performance, or integrating state management.
craft-studio
Router for the ArtCraft craft apps (PhotoCraft, VectorCraft, FilmCraft, LightCraft, PdfCraft, EffectCraft, DesignCraft, FigCraft, WordCraft, SoundCraft, DeckCraft, CADCraft, GridCraft) driven headless via pi-craft. Use to choose which app fits a job and run the discover-execute-save-verify loop - "which craft app…
accessibility-a11y
Semantic HTML, keyboard navigation, focus states, ARIA labels, skip links, and WCAG contrast requirements. Use when ensuring accessibility compliance, implementing keyboard navigation, or adding screen reader support.
tailwind-shadcn
Tailwind CSS utility patterns with shadcn/ui component usage, theming via CSS variables, and responsive design. Use when styling components, installing shadcn components, implementing dark mode, or creating consistent design systems.