AI Dev Runtime

AI Dev Runtime tools - read_file, search, edit, run_terminal, run_tests (hybrid semantic+keyword search, learning memory)

Audits

Pass

ClawScanReview

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install ai-dev-runtime

Use these tools to interact with AI Dev Runtime:

ai_dev_runtime_command: Slash command — /ai-dev-runtime <task> runs full dev task (plan → edit → test → fix)
ai_dev_runtime_invoke: Low-level tool calls — read_file, search, edit, edit_multi, apply_patch, find_references, call_hierarchy, run_terminal, run_tests
ai_dev_runtime_run_task: Batch task execution (multi-step coding)
ai_dev_runtime_fix_bug: Bug-fix workflow (analyze → patch → verify)
ai_dev_runtime_analyze: Codebase analysis (semantic + keyword search, learning memory)

For higher accuracy: Before calling ai_dev_runtime_fix_bug or ai_dev_runtime_run_task, use memory_search to find similar past fixes (e.g. "login bug", "500 error", "pytest"). Pass the snippets as prior_memory so Runtime can use them.

Set AI_DEV_RUNTIME_URL (default http://localhost:8000) and optionally AI_DEV_RUNTIME_API_KEY. Ensure AiDevRuntime HTTP server is running.