validation-and-qa

A quality-checking workflow for code changes. It runs checks such as linting, type checking, tests, smoke checks, and repeatability checks before a change is considered ready.

In plain words
What is it for?
Use it after implementation, when someone asks whether a change is ready, or when checking a single reported failure. It does not approve deployments.
Why use it?
It helps distinguish a verified fix from a change that only appears to work, and can reproduce a reported failure before fixing it.

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/fusebase-dev/fusebase-flow/validation-and-qa
Any agent
npx skills add fusebase-dev/fusebase-flow --skill validation-and-qa
Clone the repo
git clone --depth 1 https://github.com/fusebase-dev/fusebase-flow

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,798 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 $0.00059 $0.03798
Opus 5 $0.00030 $0.01899
Sonnet 5 $0.00012 $0.00760
Haiku 4.5 $0.00006 $0.00380

Measured 2d ago against content hash c3fb5946c071, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

validation-and-qa 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 2d 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.

.agents/skills/validation-and-qa/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Validation and QA

Purpose

Validate changed behavior with deterministic checks before a deploy is approved. Five sub-modes: (a) verification gate after implementation; (b) smoke prompt verification post-deploy; (c) reproducibility-before-fix when a single observed failure is reported; (d) test-data hygiene cleanup; (e) Lightweight-lane live-proof (FR-21) — the compressed gate for a Lightweight ticket.

When to invoke

  • Active phase is Verify (per FLOW_RULES state announcement)
  • AI Developer has reported a gate from greenlight-implement and the operator pasted it back
  • Operator asks "is this ready?" / "did it pass?" / "validate this change"
  • Operator describes a single observed failure: "the system did X, that's wrong" → run reproducibility-before-fix sub-mode (FR-10)
  • Post-deploy: smoke-prompt verification when verification-gate.md specified numbered smoke prompts

Do not invoke when

  • Operator wants deploy approval — invoke release-deploy-reporting instead
  • No code change exists yet (the gate runs against actual implementation, not a plan)
  • Spec is still in DRAFT with unresolved clarifies — gate cannot pass an incomplete spec

Required inputs

Input Where it lives If missing
Verification-gate contract docs/specs/<slug>/verification-gate.md Stop; gate without contract is meaningless
AI Developer gate report chat paste from AI Developer session Stop; ask operator to paste report
Lint / typecheck / test commands project-specific section of AGENTS.md or package.json/pyproject.toml Stop; ask operator to provide commands
Worker-undisturbed list policies/protected-paths.yml Stop; gate cannot complete without protected-path verification
UI / E2E test context, if applicable verification-gate.md, templates/smoke-test-playwright.md, route/component files, API/backend paths Require route, primary action, stable locator, auth plan, test data, expected outcome, diagnostic surfaces
CLI edition map, for Fusebase Apps work docs/fusebase-cli-edition.md Continue with Flow-only validation, but mark app-domain probe coverage unknown

Read the full file on GitHub · 191 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. 2d ago First seen · 191 lines · 59 tokens per session scan A c3fb5946c071

Subscribe to this mod's changes

validation-and-qa is a skill published in the GitHub repository fusebase-dev/fusebase-flow (9 stars, last pushed 7d ago), licensed MIT. It adds 59 tokens to every session and 3,798 once invoked, about $0.0003 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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