docguard
Active·★ 32·MIT·Updated 2026-10-19
DocGuard enforces Canonical-Driven Development (CDD) by validating documentation against code, ensuring docs are the source of truth for humans and AI agents. It automatically detects documentation drift, provides AI-actionable fix prompts, and integrates seamlessly into developer workflows and CI/CD pipelines.
#Documentation Validation#Spec-Driven Development#AI Agent Integration#Code-Doc Drift Detection#CI/CD Automation#Developer Tooling#Code Quality#Markdown Enforcement
01
Features
01Enforces Canonical-Driven Development (CDD) principles, making documentation the source of truth.
02Automated validation of documentation against code using 24 language-aware validators.
03Detects and mechanically fixes documentation drift, such as outdated counts, versions, or missing sections.
04Generates AI-actionable fix prompts for complex documentation issues requiring judgment.
05Seamless integration with GitHub Spec Kit, pre-commit hooks, and CI/CD pipelines for continuous documentation quality.
02
Compatibility
Node.js 18+
Runtime
Verified via docs
Python
Wrapper Runtime
Verified via docs
GitHub Actions
CI/CD
Verified via docs
Pre-commit
Dev Tooling
Verified via docs
GitHub Spec Kit
Extension
Verified via docs
AI Agents (Claude, Cursor, Copilot, etc.)
Integration
Verified via docs
03
Quick start
1
$ npm i -g docguard-cli
04
Use cases
↳Ensuring documentation accuracy and consistency for humans and AI agents in large projects.
↳Automating documentation validation as a quality gate in CI/CD pipelines to prevent drift.
↳Facilitating AI agent interaction by providing verified, up-to-date canonical documentation and fix prompts.
↳Bootstrapping new projects with canonical documentation templates or reverse-engineering docs from existing codebases.
↳Tracking and improving documentation maturity scores over time across development teams.
05
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