Can it identify requirements that aren't being monitored?

Yes, it specifically checks for runtime telemetry indicators like Datadog or Prometheus logs to ensure features are actually being tracked in production.

What is a traceability matrix in this context?

It is a document that maps and traces user intents to requirements and then to implementation artifacts like code and tests to ensure every business goal is fulfilled.

Does this skill help with software auditing?

Absolutely. It generates clear reports showing the percentage of coverage for design, code, and testing, which is essential for regulated industries and quality assurance.

How does this skill locate requirement links?

The skill uses automated tools like grep and bash to scan your repository for specific IDs (e.g., REQ-001) within documentation, source code comments, and test files.

Traceability Matrix Generator

Name: Traceability Matrix Generator
Author: foolishimp

byfoolishimp

보안 및 테스팅

Generates a comprehensive traceability matrix mapping business intents to requirements, code, tests, and runtime metrics.

소개

The Traceability Matrix Generator is a specialized skill for Claude Code designed to automate the creation and maintenance of full-lifecycle SDLC lineage. It maps high-level business intents to specific functional requirements and tracks their implementation across design documents, source code, test suites, git commits, and live production telemetry. This tool is indispensable for engineering teams performing impact analysis, compliance auditing, or gap detection, ensuring that every feature is documented, tested, and monitored.

주요 기능

Generates automated coverage reports and identifies implementation gaps
Supports impact analysis by visualizing the downstream effects of requirement changes
Maps Intents (INT-*) to Requirements (REQ-*) for business alignment
Tracks requirement coverage across Design, Code, Tests, and Git Commits
Integrates runtime telemetry verification (Datadog/Prometheus)
0 GitHub stars

사용 사례

Identifying 'ghost' requirements or untested features to improve software quality and reliability.
Performing impact analysis before refactoring code or changing high-level business intents.
Conducting compliance audits to prove that all requirements are fully implemented and tested.

소개

주요 기능

Generates automated coverage reports and identifies implementation gaps
Supports impact analysis by visualizing the downstream effects of requirement changes
Maps Intents (INT-*) to Requirements (REQ-*) for business alignment
Tracks requirement coverage across Design, Code, Tests, and Git Commits
Integrates runtime telemetry verification (Datadog/Prometheus)
0 GitHub stars

사용 사례

Identifying 'ghost' requirements or untested features to improve software quality and reliability.
Performing impact analysis before refactoring code or changing high-level business intents.
Conducting compliance audits to prove that all requirements are fully implemented and tested.