scraper-tdd-pipeline

Automate end-to-end TDD workflows for scraper packages using synthetic fixtures.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Elijah-J/InfoScraper --skill scraper-tdd-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scraper-tdd-pipeline
Source: https://github.com/Elijah-J/InfoScraper/tree/main/.agents/skills/scraper-tdd-pipeline
Command: npx skills add https://github.com/Elijah-J/InfoScraper --skill scraper-tdd-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill encapsulates a repeatable TDD workflow for scraper packages, turning informal ideas into a durable, testable pipeline that drives spec-to-implementation consistency.

Core Features & Use Cases

  • Spec-to-catalog: transform a verification spec into a durable behavior catalog that tests can target.
  • Enumerate & Test: generate unit tests from the catalog and validate implementations against expectations without live scrapes.
  • End-to-end Validation: provide a validated path from spec refinement to verified code and index-ready docs for release.

Quick Start

Run the TDD pipeline for the target scraper package to generate specs, tests, and a validated implementation.

Frequently Asked Questions about scraper-tdd-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate TDD workflow for scraper packages from spec to implementation?

Automate scraper TDD by converting verification specs into durable behavior catalogs, generating unit tests, and validating implementations against synthetic fixtures without live scrapes. This pipeline drives spec-to-implementation consistency end-to-end.

What is a behavior catalog in scraper testing and how does it work?

A behavior catalog is a durable test target generated by transforming a verification spec into structured expected behaviors. Tests validate scraper implementations against this catalog using synthetic fixtures, ensuring consistency without relying on live data.

Can I test web scrapers without running live scrapes against target sites?

Yes, scraper testing uses local catalogs and synthetic fixtures for non-live verification. This approach validates implementations against expected behaviors offline, avoiding the fragility and rate limits associated with live network scrapes.

How do I generate unit tests from a scraper verification spec?

Generate unit tests by running the TDD pipeline to enumerate behaviors from the spec into a catalog, then producing tests that target those cataloged behaviors to validate the scraper implementation against expected outcomes.

Does scraper TDD pipeline work with docs-scraper families and related modules?

Yes, the TDD pipeline specifically applies to docs-scraper families and related modules. It integrates with repository tooling to provide a validated path from spec refinement to verified code and index-ready documentation.

What are the limitations of using synthetic fixtures for scraper validation?

Synthetic fixtures enable non-live verification but may not capture dynamic site changes or network edge cases. The pipeline focuses on spec-defined behaviors and local catalog consistency, so unmodeled structural changes in target sites require spec updates.