qa-commit

A commit-checking guide that verifies code against stated acceptance rules and Gherkin scenarios. Gherkin is a plain-text format for describing software behavior as examples.

In plain words
What is it for?
Use it after review to run linting, type checks, related tests, and requirement checks, then report whether the commit passes or fails.
Why use it?
It catches missing requirements before a commit is made and starts debugging when the checks fail.

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/wellapp-ai/well/qa-commit
Any agent
npx skills add WellApp-ai/Well --skill qa-commit
Clone the repo
git clone --depth 1 https://github.com/WellApp-ai/Well

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,304 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 $0.00024 $0.01304
Opus 5 $0.00012 $0.00652
Sonnet 5 $0.00005 $0.00261
Haiku 4.5 $0.00002 $0.00130

Measured yesterday against content hash 1d205dc9a167, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qa-commit 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.

cursor-rules/skills/qa-commit/SKILL.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QA Commit Skill

Verify that the current commit satisfies its assigned QA Contract criteria (G#N Gherkin scenarios and AC#N acceptance criteria). Returns GREEN (pass) or RED (fail, triggers debug).

When to Use

  • After pr-review passes, before git commit
  • During Agent Mode commit-level workflow
  • Manually with "use qa-commit skill"

Input: Commit Context

Before running, identify:

  1. Current commit from Commit Plan
  2. Assigned criteria: "Satisfies: G#X, AC#Y, ..."
  3. Related files being changed

Phase 1: Load QA Contract

Retrieve the assigned criteria for this commit:

## Commit: [Name]
**Satisfies:** G#1, G#2, AC#1, AC#3

### Criteria to Verify:
- G#1: [Scenario description]
- G#2: [Scenario description]
- AC#1: [Acceptance criteria]
- AC#3: [Acceptance criteria]

Phase 2: Technical Validation

Use Cursor tools for technical checks:

2.1 ReadLints

ReadLints:
  paths: [changed files]

Expect: No errors related to committed functionality

2.2 Type Safety

npm run typecheck

Expect: Exit code 0

2.3 Related Tests (if exist)

npm run test -- --grep "[feature name]"

Expect: All tests pass

Phase 3: Gherkin Verification (Backend - G#N)

For each G#N assigned to this commit:

3.1 Endpoint Existence

Verify the API endpoint exists and is implemented:

SemanticSearch: "Where is [endpoint] implemented?"

3.2 Response Shape

Check response matches expected schema:

Grep: "interface.*Response" in related files

3.3 Error Handling

Verify error cases are handled:

Grep: "throw|catch|error" in handler files

Gherkin Checklist

G#N Scenario Status Notes
G#1 [Name] PASS/FAIL [Details]
G#2 [Name] PASS/FAIL [Details]

Phase 4: Acceptance Verification (Frontend - AC#N)

For each AC#N assigned to this commit:

4.1 Component Existence

Verify component is implemented:

Glob: **/*[ComponentName]*.tsx

Read the full file on GitHub · 236 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 · 236 lines · 24 tokens per session scan A 1d205dc9a167

Subscribe to this mod's changes

qa-commit is a skill published in the GitHub repository WellApp-ai/Well (341 stars, last pushed 25d ago), licensed MIT. It adds 24 tokens to every session and 1,304 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 2026-08-30.

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