nw-quality-framework

nw-quality-framework is a skill for Claude Code, Codex from nWave-ai/nWave. It costs 23 tokens per session (2,942 once invoked), scanned A, original, MIT.

A set of quality gates for deciding whether code is ready to commit. It checks tests, formatting, static analysis, builds, acceptance criteria, test integrity, and other implementation conditions.

In plain words
What is it for?
Use it to validate unit, integration, and acceptance tests, check builds and analysis, detect skipped tests, and review commit readiness.
Why use it?
It catches unfinished or unreliable changes before they enter version control and makes the release decision more consistent.

Skill for Claude CodeCodex

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/nwave-ai/nwave/nw-quality-framework
Any agent
npx skills add nWave-ai/nWave --skill nw-quality-framework
Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave

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 nw-quality-framework

README.md
[![agentmods](https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-quality-framework.svg)](https://agentmods.dev/skills/nwave-ai/nwave/nw-quality-framework)
Your own site
<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-quality-framework"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-quality-framework.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,942 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 $0.00023 $0.02942
Opus 5 $0.00012 $0.01471
Sonnet 5 $0.00005 $0.00588
Haiku 4.5 $0.00002 $0.00294

Measured yesterday against content hash a2225528f8de, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

nw-quality-framework 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 yesterday.

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.

nWave/skills/nw-quality-framework/SKILL.md · 224 lines

How it starts

The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality Framework

Commit Readiness Gates (11)

All pass before committing:

  1. Active acceptance test passes (not skipped, not ignored)
  2. All unit tests pass
  3. All integration tests pass
  4. All other enabled tests pass
  5. Code formatting validation passes
  6. Static analysis passes
  7. Build validation passes (all projects)
  8. No test skips in execution (ignores OK during progressive implementation)
  9. Test count within behavior budget
  10. No mocks inside hexagon
  11. Business language in tests verified

Note: Reviewer approval (formerly Gate 12) and Testing Theater detection (formerly Gate 13) enforced at deliver-level Phase 4 (Adversarial Review via /nw-review), not per step.

Quality Gates by Category

  • Architecture: all layers touched | integration points validated | stack proven E2E | pipeline functional
  • Implementation: real functionality (not placeholders) | automated pipeline | happy path coverage | production patterns
  • Business Value: meaningful user value | testable AC | measurable success metrics
  • Real Data: golden masters present | edge cases tested | no silent errors | API assumptions documented
  • Test Integrity: every test falsifiable | behavioral assertions only | no circular verification | no mock-dominated tests | no assertion-free tests | no fixture theater (see below)

Testing Theater Pattern 8: Fixture Theater

Definition: Acceptance tests pass because test fixtures create the expected end-state directly, rather than exercising production code through the driving port. Tests verify the correct outcome from the WRONG source.

Detection: After GREEN phase, run git diff --name-only. If files_to_modify from the roadmap step have NO changes but tests flipped from RED to GREEN, this is Fixture Theater. The test fixtures are implementing the feature, not production code.

Litmus test: Delete the new production code (or revert production files to pre-GREEN state). If tests still pass, it's Fixture Theater.

Read the full file on GitHub · 224 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. yesterday First seen · 224 lines · 23 tokens per session scan A a2225528f8de

Subscribe to this mod's changes

nw-quality-framework is a skill published in the GitHub repository nWave-ai/nWave (604 stars, last pushed 5d ago), licensed MIT. It adds 23 tokens to every session and 2,942 once invoked, about $0.0001 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 2026-09-03.

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