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Web quality audit tooling mechanics — running Lighthouse via the CLI and parsing the LHR, running axe-core through the agent-browser accessibility audit for WCAG checks, gathering responsive, console, and network evidence with agent-browser, and the setup and gotchas that make each engine actually produce usable output against a running web app.
specialization-web-audit is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Web Audit Tooling ## Overview A web audit runs three engines over a running application, in one pass, per URL: | Engine | Produces | How it runs | |---|---|--. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding specialization-web-audit to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install Petri-Hub/demiurgeReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Web Audit Tooling ## Overview A web audit runs three engines over a running application, in one pass, per URL: | Engine | Produces | How it runs | |---|---|---| | **Lighthouse**