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Feature Requirement Coverage

amirbena edited this page Sep 17, 2026 · 2 revisions

Feature: Requirement Coverage

A Feature-Pages entry. This page explains the capability; it never redefines it — see Feature-Pages for the canonical/Wiki boundary statement that applies to every page in this pattern.

What it does

When you supply requirements or acceptance criteria, both Skills add a requirement-by-requirement coverage section: each obligation is reported as implemented, partially_evidenced, not_evidenced, or not_applicable, with concrete code/test evidence, plus an overall complete / incomplete signal relative to that task.

Why it exists

A review can be defect-free and still leave part of the task undone. This capability makes task-relative completeness visible and evidenced, separately from code-quality findings — so "no bugs found" is never confused with "the task is finished."

When it applies

Conditional — activates automatically only when the resolved Review Context includes authoritative requirements or acceptance criteria. With no such contract, it is completely inert: no empty section, prompt, signal, or false finding appears. Applies to both Skills identically.

How it works

Each coverage row cites the originating clause plus the concrete implementation or test evidence used for its status. This is separate from review severity: missing coverage becomes a P0/P1/P2 finding only when it independently meets the normal evidence, scope, and severity rules — the mechanical review decision still depends only on P0/P1 findings, never on coverage status by itself.

Important options / modes

No flag — supply the contract as review context (free text, or a resolved Jira/GitHub Issue reference; see Review-Context-and-Existing-Evidence). Only authoritative requirement / acceptance_criteria context activates it; discussion or historical notes never do. not_applicable distinguishes an explicitly excluded obligation from one whose applicability can't be resolved from an ambiguous contract — the latter carries an explicit ambiguity marker and keeps aggregate coverage incomplete.

Example

review my local changes against these acceptance criteria:
- validate every write before persistence
- reject writes while the record is locked
review PR #812 against GitHub Issue #799

Related features

Canonical references


Wiki Page Map

Page What it covers
Home Wiki entry point: what the two Skills are and where to go next.
Getting-Started First steps to package and run either Skill.
Choosing-a-Review-Skill How to decide between local-code-review and github-pr-review.
How-the-Review-Model-Works Concept-level walkthrough of the review pipeline shared by both Skills.
Architecture-Overview Component-level map of how the repository's pieces fit together.
Specialist-Depth-Review When and how a review goes deeper than its base pass.
Local-Code-Review-Guide Usage guide for reviewing local, not-yet-PR'd Git changes.
GitHub-PR-Review-Guide Usage guide for reviewing an existing GitHub Pull Request.
Review-Context-and-Existing-Evidence How optional requirements/context and prior review evidence are supplied.
Feature-Pages Index of per-feature capability pages and their shared template.
Feature-Delta-Re-Review How a re-review scopes itself to only what changed since the last pass.
Feature-GitHub-Publication-and-Authorization What a PR review publishes to GitHub and under what authority.
Feature-Human-Style-Review-Output The senior-engineer-voice prose summary output option.
Feature-Requirement-Coverage How supplied requirements are checked and reported as covered or not.
Feature-Runtime-Validation-Evidence How a review can execute commands or reproductions as evidence.
Severity-and-Decision-Model The P0/P1/P2 severity levels and how the merge decision is derived.
Packaging-and-Portability How the Skills go from source repository to a standalone archive.
Development-Workflow Contributor guide for working on this repository itself.
Benchmark-Testing Orientation to this repository's own review-quality benchmark pipeline.
Repository-Documentation-Map Where each concern's canonical, authoritative source lives.
AI-Code-Review-Landscape Neutral snapshot comparing this project against other AI code-review products.
FAQ Short, practical answers to common questions.

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