Audits local static HTML/CSS against 11 selected WCAG 2.1 AA checks, optionally applies conservative local HTML fixes with .bak backups, and exports JSON/HTML reports. No SSH, remote deployment, or compliance certification.
Generate, audit, co-author, and maintain software documentation under a style your agent cannot drift from. Version 3.0.0 adds controlled language (STE-derived), a distilled house style enforced by mechanical gates (vale, markdownlint, cspell), canonical vocabulary that steers agents, OKF v0.2 knowledge bundles with a working attester, and the 2026 spec-driven development landscape with 11 tool-neutral templates. Works across software, hardware, firmware, and embedded projects in any runtime.
One URL in, three client-ready deliverables out: a WCAG 2.2 AA / ADA audit that samples up to 20 same-domain pages with axe-core browser checks, and produces a Markdown remediation report with severity-ranked, copy-paste fixes, a branded PDF grouped by severity, and a fixed-schema JSON for Jira or APIs. Findings are deduplicated, mapped to WCAG Success Criteria and backed by explicit scan-quality warnings, giving agencies and SMBs audit-ready evidence for ADA risk reviews.
Turn URLs and saved-login notes into an ALIVE / DEAD / UNDETERMINED table; handles SPA 200s, 403 blocks, soft 404s.
Check a finished sticker or emoticon set before submitting: character drift, hands covering faces, transparent-PNG halos, repeated poses, captions and spec mismatches.
Audits the [[wiki links]] in a folder of Markdown notes: broken links, missing headings, missing embeds, ambiguous page names and orphan pages, with file and line for each. Read-only, standard library only, and the exit code is ready for CI.
Compresses AI filler text — preambles, transitions, repetitions — at 3 intensity levels (Lite / Full / Ultra) while enforcing a protected scope (URLs, numbers, code, reasoning) that is never deleted, so "be concise" stops silently destroying what matters.
Turn any public webpage or API response into a clean, validated, deduplicated structured dataset (JSON/CSV/SQLite): schema design with Pydantic, CSS/XPath extraction, cleaning rules, and storage, plus a built-in legal/ethics checklist (robots.txt, ToS, rate limiting). --- 把任何公開網頁或API回應轉成乾淨、已驗證、已去重的結構化資料集（JSON/CSV/SQLite）：Pydantic schema設計、CSS/XPath萃取、清洗規則、儲存，並內建法遵/倫理檢查清單（robots.txt、服務條款、速率限制）。中英文版本皆完整獨立撰寫。