By revmischa
Code analysis tools: /analyze command with bug-finder, code-simplifier, and type-checker agents
Find subtle bugs, edge cases, and potential failure modes in recently written code. Use after implementing a feature to stress-test the logic. Excels at adversarial thinking.
Analyze code for simplification opportunities: abstractions, unnecessary complexity, more elegant solutions. Use after writing substantial code to ensure it's as clean and maintainable as possible.
Improve type safety: add hints, replace Any with narrow types, introduce TypeVars/generics, resolve type: ignore markers. Use after writing code or when refactoring to ensure maximum type safety.
Internal Claude Code extensions for METR employees.
Add the marketplace:
/plugin marketplace add METR/claude-code
Install plugins:
/plugin install datadog-mcp@metr-claude-code
/plugin install code-analysis@metr-claude-code
Datadog monitoring integration via MCP. Provides tools for:
Requirements:
DD_API_KEY and DD_APP_KEY environment variablesuv package managerCode analysis tools for improving code quality.
Command:
/analyze - Run type-checker, bug-finder, and code-simplifier on recent changesAgents:
bug-finder - Find subtle bugs, edge cases, and potential failure modescode-simplifier - Identify unnecessary complexity and simplification opportunitiestype-checker - Improve Python type safetyAdd new plugins to the plugins/ directory following the existing structure:
plugins/
your-plugin/
.claude-plugin/
plugin.json
skills/
commands/
agents/
hooks.json (optional)
Then add an entry to .claude-plugin/marketplace.json.
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub revmischa/claude-code --plugin code-analysisDatadog monitoring integration via MCP - query logs, metrics, monitors, SLOs, and service definitions
Systematically debug issues with step-by-step troubleshooting approaches.
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
Proactive bug finding with static and semantic analysis
Core development agents and code quality hooks
Reviews code for real bugs: off-by-ones, null derefs, race conditions, swallowed errors. Skips style nitpicks.
Automated code review with severity levels and actionable feedback