scraper-tdd-pipeline

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

Updated Aug 23, 2026

Search Tags:#automation #workflow #testing #tdd #documentation #pipeline #scraper

Ready to run

npx skills add https://github.com/Elijah-J/InfoScraper --skill scraper-tdd-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

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.