site-kit
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- FlicenseNot gradedqualityDmaintenanceEnables AI coding agents to plan, build, and review websites and product interfaces with a persistent, user-led process, including design direction, component contracts, and implementation review.-
- AlicenseNot gradedqualityAmaintenanceEnables bounded, multi-phase coding workflows inside Codex that plan, implement, independently review, repair, and verify repository changes, with an inline dashboard for inspecting runs.MIT
- AlicenseAqualityAmaintenanceEnables AI coding assistants to validate HTML/CSS markup using W3C APIs, perform technical SEO audits, check broken links, and validate JSON-LD schemas directly in local workspaces.8512 npm8MIT
- AlicenseNot gradedqualityCmaintenanceEnables coding agents to identify machine-generated template tells in codebases and rendered web pages, with citable evidence and exact fixes for each finding, and to read prevention rules before generating content.MIT
- AlicenseNot gradedqualityAmaintenanceEnables auditable, plan-linked Git commit review views for Codex, with interactive file trees, split diffs, line-level explanations, and SHA-256 audit receipts served locally on localhost.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to audit rendered web pages for design and UI defects by measuring geometry, styles, contrast and motion in a local browser and judging them against evidence-tiered rules. Findings come back as short, fixable items expressed in the project's own design tokens, while only sanitized numeric measurements leave the machine.Apache 2.0
TDQS
Scored across 12 tools
The tool families are well separated by target, and each checker addresses a distinct concern. The only real overlap is between check_copy and check_honesty, both of which claim some honesty/attribution territory, and review_site naturally overlaps with the individual checkers. The detailed descriptions make selection feasible, so this is not a serious weakness.
There is a strong check_* family and a clear palette_from_* pair, but the set mixes verb-first names like review_site and explain_rule, noun phrases like learning_path and palette_from_subject, and a single bare verb in doctor. The names are all lowercase and readable, but the overall convention is mixed rather than uniform.
12 tools is squarely in the well-scoped range for a site review and scaffolding kit. Each checker targets a separate concern, and the supporting tools for explanation, learning, scaffolding, palette generation, and diagnostics all earn their place.
The set covers the full workflow: scaffold a site, generate palettes, run a full critique, run targeted checks, explain findings, and diagnose the environment. There are no obvious dead ends or missing operations that would block an agent from completing a meaningful task.