Markdown Validator
Prevent broken lesson pages and docs by auto-validating Markdown, links, front-matter and formatting before publish.
Trusted by
Built on established tools and patterns used by universities and platform teams: markdownlint / Super-Linter for checks; GitHub Classroom-style CI for pre-publish validation.
Success Story
Åbo Akademi University reduced project review time from ~20 min → <2 min per project (overall >65% reduction) by using test-driven autograding + CI checks.
Integrates with
Problem
Course authors and instructors publish Markdown-based lessons, Jupyter Book chapters, and README instructions that frequently contain formatting mistakes, broken links, missing metadata, inconsistent heading structure, or accessibility errors. Those faults cause rendering problems in LMS/web, confuse students, and require time-consuming manual reviews.
Solution
Markdown Validator automatically scans Markdown content (single files or whole repositories), enforces a configurable style guide, validates front-matter, checks links and image sizes, and produces a prioritized, actionable report. It blocks publish or marks PRs for review if high-severity problems are found. Teachers review only flagged items — saving review time and preventing student-facing errors.
Result
Fewer broken lesson pages, faster pre-publish review, and consistent course materials. Instructors spend less time fixing formatting and more time on pedagogy and feedback.
Use Cases
Markdown Validator automatically checks Markdown-based course content, lesson pages, notebooks (markdown cells) and README-style docs for formatting errors, missing front-matter, broken links, inconsistent heading levels, and accessibility issues. It runs as a pre-publish gate (CI / LMS import hook / pre-commit hook) and produces a teacher-friendly report: line-by-line issues, severity (must-fix / warning), suggested fixes, and an exportable checklist for content editors. Built for instructional designers, course authors, and university content teams, it reduces broken pages in LMSs and public course sites, enforces consistent style, and saves review time by making errors fixable before students see them. Integrates with Git-based workflows (GitHub Classroom, Git repos used for Jupyter Book/Open Textbooks) and can run as a service that checks uploaded .md files. The agent emphasizes pedagogy: it includes an "age-appropriate content" quick-check, and an accessibility baseline (alt-text, image file size warnings) for classroom materials.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Kickoff & ruleset mapping
1-2 daysdecide style guide and required front-matter
CI config & test run
2-4 daysenable GitHub Action / runner with markdownlint / Super-Linter
Pilot run
3-7 daysenforce checks on one repo or one course import pipeline
Teacher review & tuning
1 weekadjust rules and false-positive thresholds
Training
1 dayshort PD for instructors on interpreting reports
Scale
1 weekroll out across courses and add LMS import hooks
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