runtime-budget-pass

Validate task completion within a predefined runtime budget.

787|71|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/luongnv89/asm --skill runtime-budget-pass
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: runtime-budget-pass
Source: https://github.com/luongnv89/asm/tree/main/src/eval/providers/skill-best-practice/v1/fixtures/runtime-budget-pass
Command: npx skills add https://github.com/luongnv89/asm --skill runtime-budget-pass

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The solution helps teams automatically verify that a task completes within a predefined runtime budget, preventing resource overruns.

Core Features & Use Cases

  • Enforces budget compliance at runtime and during tests to detect overruns early.
  • Supports common runtimes and environments for quick budget verification in CI and deployment workflows.
  • Example Use Case: When scheduling long-running AI agent tasks, ensure the total runtime stays under the allocated limit before proceeding.

Quick Start

Provide a target runtime budget and run the skill to validate that your task finishes within the limit.

Frequently Asked Questions about runtime-budget-pass

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

FAQPage Schema
How do I verify a task completes within a runtime budget in CI pipelines?

To verify a runtime budget in CI pipelines, you enforce budget compliance at runtime to detect overruns early. This process validates that automated tasks finish within strict time or compute limits before proceeding.

What is runtime budget verification and when do I need it?

Runtime budget verification is the process of validating task completion against predefined time limits. You need it for automated tasks and CI pipelines where strict compute limits matter, preventing resource overruns during execution.

How do I halt or retry automated tasks that exceed a time limit?

To halt or retry tasks exceeding a time limit, implement budget tracking and timeout handling. This enforces strict runtime limits, automatically stopping or re-running automated tasks that surpass the allocated budget.

Can I enforce compute limits for long-running AI agent tasks before deployment?

You can enforce compute limits for long-running AI agent tasks before deployment by applying budget verification. This ensures the total runtime stays under the allocated limit, verifying tasks finish within strict compute boundaries.

What's the best way to prevent resource overruns in automated deployment workflows?

The best way to prevent resource overruns in deployment workflows is to automatically verify runtime budgets pass. This enforces strict time limits during tests, halting tasks that exceed the budget to avoid resource exhaustion.