Strike Logger v0.2.1

🚀 Strike Logger v0.2.1 - Active AI QA Safeguards (README Documentation Update)

This patch release bumps the version to v0.2.1 to publish the comprehensive README documentation updates detailing the three new features on the npm registry:

1. Interactive Review
2. Spec Auto-Injection
3. Git Pre-Commit Hook Safeguard

Installation

npm install -g @halonic/strike-logger

Strike Logger v0.2.0

🚀 Strike Logger v0.2.0 - Active AI QA Safeguards

This release adds three major new interactive and automated QA features:

1. Interactive Logging (log --interactive / -i): Interactively review recent commits, choose which to log as strikes, and fine-tune categories/severities.
2. Spec Auto-Injection (inject): Automatically updates or creates AI spec instruction files (.cursorrules, .clinespec, etc.) inside the local repository.
3. Git Pre-Commit Hook (hook): Installs a pre-commit hook safeguard that scans staged diff additions and blocks commits containing active AI error patterns.

Installation

npm install -g @halonic/strike-logger

Strike Logger v0.1.0 - Initial Release

🎉 Initial Release by Halogen Labs

✨ Features

• ✅ Full CLI Implementation - 4 commands: init, log, report, generate
• ✅ 17 Error Categories - From missing error handling to security vulnerabilities
• ✅ Auto-Detection - Scan git history for fix commits
• ✅ Multi-Model Support - Generate prompts for GPT, Claude, and GitHub Copilot
• ✅ Zero External Dependencies - No API calls, fully local
• ✅ QA Certified - 10/10 tests passed, production-ready

📦 Installation

npm install -g @halogen-labs/strike-logger

🚀 Quick Start

strike-logger init
strike-logger log --auto
strike-logger report
strike-logger generate --model gpt

📊 What It Does

Strike Logger helps you track recurring mistakes made by AI coding assistants, categorize them, and generate anti-pattern prompts to prevent them in future sessions.

Built with ❤️ by Halogen Labs