agent-harness

Generates interview questions for agent infrastructure and runtime engineering roles.

23|1|Updated Aug 3, 2026
One-click install
npx skills add https://github.com/yuecao365/OfferCome --skill agent-harness-yuecao365
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-harness
Source: https://github.com/yuecao365/OfferCome/tree/main/src/lib/mock-interviews/skills/agent-harness
Command: npx skills add https://github.com/yuecao365/OfferCome --skill agent-harness-yuecao365

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Interviewers hiring for agent harness, agent infra, and agent runtime roles often lack a structured question bank covering runtime loops, tool permissions, sandboxing, sub-agent orchestration, context caching, memory externalization, trajectory evaluation, and failure recovery, leading to shallow framework-trivia interviews. ## Core Features & Use Cases - Topic Ladders: Provides progressive question ladders across nine domains including runtime loops, tool permission tiers, sub-agent orchestration, context engineering and caching, memory and skill externalization, trajectory evaluation, durable execution, human-in-the-loop confirmation, and multi-provider structured output. - Good vs Bad Question Contrasts: Contrasts weak framework-trivia questions with scenario-based questions that probe real failure cases, budgets, and verification methods. - Resume Hook Mapping: Maps resume signals (tracing, eval pipelines, cache hit rates, Claude Code / Codex / Cursor usage) to targeted follow-up probes. - Use Case: When a job description mentions agent harness, agentic coding, or eval pipelines, load this Skill to generate calibrated interview questions with expected strong and weak answer signals for campus or experienced hires. ## Quick Start Load this skill and generate interview questions for a candidate whose resume mentions building an agent runtime with tool calling and trajectory evaluation.

Frequently Asked Questions about agent-harness

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

FAQPage Schema
How do I interview candidates for agent infrastructure roles?▼

Focus on scenario-based questions about runtime loops, tool permission tiers, sandboxing, and trajectory evaluation rather than framework trivia. Probe for real failure cases like runaway loops, tool misuse, and cache misses, and ask how candidates verified fixes with regression tests.

What topics should agent harness interview questions cover?▼

Cover runtime loop state management, tool protocol and permission grading, sub-agent orchestration, context engineering and prefix caching, memory and skill externalization, trajectory-level evaluation metrics, checkpoint recovery, human-in-the-loop confirmation, and multi-provider structured output differences.

How do I evaluate answers about agent evaluation pipelines?▼

Strong answers include a noise baseline from repeated runs, at least three trajectory metrics like step count and invalid tool call rate, and a closed loop from failure list to perturbation cases to regression tests. A single success-rate number is a warning signal.

When should interview questions differ for campus versus experienced hires?▼

Campus interviews should test decomposing an agent execution into steps, tool call protocols, and loops with budgets and termination conditions. Experienced hires should be probed on sub-agent boundaries, sandbox models, cost accounting, durable execution, and failure-to-skill institutionalization.

What are red flags when interviewing agent engineers?▼

Red flags include delegating loop control entirely to framework maxIterations without knowing what happens on overflow, treating more tools as always better, having no confirmation for destructive tools, reporting only a single success rate, and lacking any concrete failure story from using coding agents.