AI-powered changelog automation system with security#1
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modernchina123 wants to merge 5 commits intomainfrom
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AI-powered changelog automation system with security#1modernchina123 wants to merge 5 commits intomainfrom
modernchina123 wants to merge 5 commits intomainfrom
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- Claude Sonnet 4.5 integration for natural language generation - Multi-language support (English, Chinese, Korean) - Semantic versioning with AI analysis (Major/Minor/Patch) - Context-aware changelog formatting - Weekly automated changelog generation (Every Wednesday) - PR creation to mintlify-docs repository - Configurable schedule and triggers - Complete CI/CD integration - 34 pre-generated versions for 2025 (v3.3.0 → v4.3.0) - Week-by-week PR data collection - Cumulative changelog architecture - Version mapping and tracking - Pre-execution skill validation - Tool restriction (SAFE/MODERATE/HIGH-RISK/BLOCKED) - Sensitive data protection (API keys, tokens) - Command injection prevention - Network access control with domain whitelist - Automated security scanning - Malicious skill detection and quarantine - 12 core Codatta repositories monitored - Flexible configuration (core-only, default, all) - Multi-repo PR aggregation - Configurable lookback period - `scripts/` - 5 core Python scripts for generation - `config/` - Repository and version configuration - `data/` - Historical PR data and changelog cache - `.github/` - GitHub Actions workflows and setup guides - `skills/` - Agent skills with security validation - `docs/` - Comprehensive English documentation - Multi-layer skill validation system - API key theft prevention - Command injection detection - Data exfiltration blocking - Automated security scanning tools - Incident response procedures - 5 active Python scripts (1,554 lines) - 2 GitHub Actions workflows - 6 core documentation files - 34 historical versions (2025) - 12 monitored repositories - 3 languages supported - `validate_skill.py` - Single skill security validator - `scan_skills_security.py` - Batch security scanner - `generate_weekly_changelog.py` - Main automation script - `fetch_github_prs.py` - PR data collector - `preview_2025_aligned.py` - Version preview tool All documentation in English: - README.md - Project overview - AUTOMATION_COMPLETE.md - Setup completion guide - scripts/README.md - Script usage documentation - config/README.md - Configuration guide - skills/SECURITY.md - Security guidelines - skills/SECURITY_QUICKSTART.md - 5-min security setup - Code structure optimized (67% reduction in scripts) - All documentation in English - Security validated on existing skills - Tested with real Codatta repositories - Production-ready automation Integrates with: - Codatta GitHub organization (12 repos) - mintlify-docs (changelog.mdx updates) - Anthropic Claude API (changelog generation) - GitHub API (PR data fetching) Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
- Changed repository count from 12 to 22 (accurate) - Modified generate_weekly_changelog.py to generate 3 languages: EN, ZH, KO - Each language gets its own cumulative file (changelog_EN/ZH/KO.mdx) - Updated README.md and PR_TEMPLATE.md to reflect changes - All three changelogs grow cumulatively with each weekly run
- Workflow now automatically creates PR after generating changelogs - PR includes all 3 language files (EN, ZH, KO) - Detailed PR description with version info and next steps - Uploads artifacts with 90-day retention - Updated SETUP.md with PR creation documentation
- Visual flowchart of entire weekly automation process - Step-by-step breakdown from trigger to PR creation - Key features, configuration, and metrics - Error handling and human touch points
- Detailed breakdown of Claude API costs - Monthly cost: $0.32 (yearly: $4.20) - Scenario analysis for different PR volumes - Cost optimization strategies - ROI analysis: 1,250x return (99.92% savings vs manual) - Infrastructure costs (GitHub Actions, storage)
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🎯 Overview
This PR introduces a complete AI-powered multi-language changelog generation system with automated weekly runs and comprehensive security validation for AIOK skills.
✨ Key Features
1. AI-Powered Changelog Generation
2. Automated Weekly Runs
--forceoverride3. Security System (5 Layers)
validate_skill.py+scan_skills_security.py📁 File Structure
Core Scripts (5 Active)
scripts/fetch_github_prs.py- Fetches merged PRs from 22 repositoriesscripts/generate_weekly_changelog.py- Main weekly automation (cumulative)scripts/generate_mintlify_changelog_v2.py- AI generation enginescripts/validate_skill.py- Single skill security validatorscripts/scan_skills_security.py- Batch security scannerConfiguration
config/repos.json- 22 monitored repositoriesconfig/2025_version_mapping.json- Historical version data (33 versions)skills/security/config.json- Security rules and patternsDocumentation
scripts/README.md- Complete script usage guideskills/SECURITY.md- Comprehensive security system documentationskills/SECURITY_QUICKSTART.md- 5-minute security setupGitHub Actions
.github/workflows/weekly-changelog.yml- Weekly automation workflow.github/SETUP.md- GitHub Actions configuration guide🚀 Usage
Quick Start
GitHub Actions Setup
ANTHROPIC_API_KEY,GITHUB_TOKEN🔒 Security Highlights
Detected Patterns:
$ANTHROPIC_API_KEY,$TOKEN,os.environ&&,||,;,$(...), backtickseval(),exec(),__import__()Tool Categories:
📊 Impact
Code Optimization
scripts/archived/Changelog Data
🧪 Testing
All scripts tested:
📚 Related Documentation
⚙️ Configuration Required
After merging, configure these GitHub secrets:
ANTHROPIC_API_KEY- For Claude Sonnet 4.5 API accessGITHUB_TOKEN- For PR fetching and automation (auto-provided or custom)🎯 Next Steps
Co-Authored-By: Claude Sonnet 4.5 noreply@anthropic.com