Enforce OS-level per-turn timeouts for AI coding agent loops.
npx skills add https://github.com/keugenek/shark --skill shark-loop
Please help me install this Agent Skill. Skill: shark-loop Source: https://github.com/keugenek/shark/tree/main/commands/shark-loop Command: npx skills add https://github.com/keugenek/shark --skill shark-loop
This Skill eliminates the risk of AI coding agent loops blocking indefinitely on slow tool calls, which wastes compute and delays task completion by enforcing a hard time limit for every agent turn.
Use the shark-loop skill to run your coding agent task with a 25-second per-turn timeout and 50 maximum loops to prevent blocking on slow operations.
High-intent search queries and answers about installing and using this skill.
To prevent AI coding agent loops from blocking indefinitely, you can enforce hard OS-level timeouts per agent turn. This stops slow operations from stalling the agent and wasting compute during long-running coding tasks.
The Shark Pattern for coding agents requires that no agent turn exceeds a configurable time limit. Per-turn timeout enforcement keeps the main agent reasoning efficiently without waiting for slow operations to finish.
Yes, the per-turn timeout enforcer works with Claude Code, Codex, and Gemini CLI. It applies hard OS-level timeouts across all supported LLM agent CLI tools for coding, debugging, and automation tasks.
You configure maximum loop counts and per-turn timeout durations for an AI agent loop by passing simple command arguments. For example, you can set a 25-second timeout and 50 maximum loops to control runtime.
A limitation of using OS-level timeouts for coding agent tasks is that any operation exceeding the configured per-turn time limit is hard-stopped. This ensures the loop continues but may interrupt incomplete tool calls, requiring recovery.
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