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agentsop-code-execution-decision

Route agent steps to code execution or prose reasoning via a deterministic gate.

287|16|Updated May 20, 2026

Search Tags:#anti-patterns #agent orchestration #code execution #deterministic computation #program of thought #sandbox decision #tool-use routing

Ready to run

npx skills add https://github.com/agentsope/SkillAlchemy --skill agentsop-code-execution-decision

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentsop-code-execution-decision
Source: https://github.com/agentsope/SkillAlchemy/tree/main/skills/agentsop-code-execution-decision
Command: npx skills add https://github.com/agentsope/SkillAlchemy --skill agentsop-code-execution-decision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Prevents LM agents from doing multi-step arithmetic in prose (silent wrong numbers) and from wasting sandbox runs on judgment tasks (over-coding), by providing a clear decision rubric for when to emit-and-execute code versus reason in natural language.

Core Features & Use Cases

Deterministic gate: routes each step to either code execution (computable, verifiable outcomes) or prose reasoning (judgment, taste, open-ended synthesis).
Mixed-step decomposition: splits tasks that contain both a computable component (code) and a judgment component (prose).
Operational safety guidance: includes anti-patterns like never forgetting to feed computed results back into the LM, avoiding unbounded retry loops, and not assuming unsandboxed REPL tools are safe.

Quick Start

Tell your agent designer to use the "single verifiable answer" gate from this skill whenever you decide between Program-of-Thought/code interpreter execution and natural-language reasoning for each step.

Frequently Asked Questions about agentsop-code-execution-decision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I stop my LM agent from doing arithmetic in prose and getting wrong numbers?▼

To stop silent arithmetic errors, apply a deterministic gate that routes computable steps to code execution. This prevents LM agents from reasoning through multi-step arithmetic in prose, ensuring verifiable outcomes via Program-of-Thought workflows.

When should I use code execution versus natural language reasoning in agent orchestration?▼

You should use code execution for deterministic transforms like sorting and parsing, and prose reasoning for judgment tasks like tone or synthesis. A gate-based decision policy evaluates each step to route it to the correct mode.

What is the best way to handle mixed agent steps that require both deterministic computation and judgment?▼

The best way is mixed-step decomposition, which splits tasks into a computable component for code execution and a judgment component for prose reasoning. This ensures deterministic cores run as code while subjective parts use natural language.

Why does my agent waste sandbox runs on simple judgment tasks?▼

Agents waste sandbox runs on judgment tasks due to over-coding, lacking a clear routing rubric. Applying a deterministic gate prevents this by reserving code execution for verifiable computation and using prose for open-ended synthesis.

What are the anti-patterns for Program-of-Thought workflows in agent step design?▼

Common anti-patterns include failing to feed computed results back into the LM, creating unbounded retry loops, and assuming unsandboxed REPL tools are safe. Operational safety guidance enforces result-back requirements and sandbox safety.

Do I need a sandbox to route deterministic computation in LM agents?▼

Yes, a sandbox is required for safe code execution. The decision policy enforces sandbox safety and result-back requirements, ensuring that deterministic computations run securely without relying on unsandboxed REPL tools.