aios-long-running-harness — ai-agent aios-long-running-harness, rex-cli, community, ai-agent, ide skills, browser-automation, claude-code, codex-cli, contextdb, gemini-cli

v1.0.0

이 스킬 정보

UI 드리프트와 모델 가변성 아래에서 안정성을 유지하는 강력한 장기 실행 태스크 관리가 필요한 AI 에이전트에 적합합니다. Use when running multi-step or long-running agent jobs in aios that require checkpointing, retries, evidence capture, and safe human handoff.

# Core Topics

rexleimo rexleimo
[11]
[1]
Updated: 3/11/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
32
Canonical Locale
en
Detected Body Locale
en

UI 드리프트와 모델 가변성 아래에서 안정성을 유지하는 강력한 장기 실행 태스크 관리가 필요한 AI 에이전트에 적합합니다. Use when running multi-step or long-running agent jobs in aios that require checkpointing, retries, evidence capture, and safe human handoff.

이 스킬을 사용하는 이유

Playwright Browser MCP와 ContextDB를 사용하여 에이전트가 장기 실행 태스크를 신뢰성 있게 실행할 수 있도록 하여 안정성을 보장하고, 도구 출력을 캡처하며, 幂等적인 단계와 명시적인 성공/실패 증거를 사용합니다. Codex CLI, Claude Code, Gemini CLI, OpenCode와 협력하는 개발자에게 적합합니다.

최적의 용도

UI 드리프트와 모델 가변성 아래에서 안정성을 유지하는 강력한 장기 실행 태스크 관리가 필요한 AI 에이전트에 적합합니다.

실행 가능한 사용 사례 for aios-long-running-harness

UI 드리프트와 모델 가변성 아래에서 장기 실행 태스크를 안정화하는 것
幂等적인 단계와 명시적인 성공/실패 증거를 사용하여 태스크를 신뢰성 있게 완료하는 것
도구 출력을 캡처하여 디버깅과 검증 목적으로 사용하는 것

! 보안 및 제한 사항

  • Playwright Browser MCP와 ContextDB 설정이 필요합니다
  • 로컬 우선의 AI 에이전트 부트스트랩을 위한 설계
  • 일부 故障이나 예산 제약에 대응하기 위한 조정이 필요할 수 있습니다

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is aios-long-running-harness?

UI 드리프트와 모델 가변성 아래에서 안정성을 유지하는 강력한 장기 실행 태스크 관리가 필요한 AI 에이전트에 적합합니다. Use when running multi-step or long-running agent jobs in aios that require checkpointing, retries, evidence capture, and safe human handoff.

How do I install aios-long-running-harness?

Run the command: npx killer-skills add rexleimo/rex-cli/aios-long-running-harness. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for aios-long-running-harness?

Key use cases include: UI 드리프트와 모델 가변성 아래에서 장기 실행 태스크를 안정화하는 것, 幂等적인 단계와 명시적인 성공/실패 증거를 사용하여 태스크를 신뢰성 있게 완료하는 것, 도구 출력을 캡처하여 디버깅과 검증 목적으로 사용하는 것.

Which IDEs are compatible with aios-long-running-harness?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for aios-long-running-harness?

Playwright Browser MCP와 ContextDB 설정이 필요합니다. 로컬 우선의 AI 에이전트 부트스트랩을 위한 설계. 일부 故障이나 예산 제약에 대응하기 위한 조정이 필요할 수 있습니다.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add rexleimo/rex-cli/aios-long-running-harness. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use aios-long-running-harness immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

aios-long-running-harness

Install aios-long-running-harness, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

AIOS Long-Running Harness

Overview

Use this harness to keep long tasks stable under UI drift, model variability, and partial failures. It maps Anthropic's long-running-agent harness ideas into this repository's file-based workflow.

Harness Loop

  1. Preflight: lock objective, stop conditions, budgets, and required artifacts.
  2. Plan: split into idempotent steps with explicit success/failure evidence.
  3. Execute: run one step at a time with tool output capture.
  4. Verify: assert completion from page evidence, not assumptions.
  5. Checkpoint: persist current state, artifacts, and next action.
  6. Recover: on failure, classify and retry only with a changed hypothesis.
  7. Complete: run final verification and write summary doc.

Pairing with Superpowers Skills

  • Plan step should be produced through superpowers:writing-plans (or superpowers:brainstorming first when scope is unclear).
  • For 2+ independent domains, use superpowers:dispatching-parallel-agents; for coupled domains, run sequentially.
  • If the runtime has no true subagent tool, emulate dispatch with explicit per-domain task queues and only parallelize safe independent reads/checks.
  • Always finish with superpowers:verification-before-completion before claiming run success.

Orchestrate Live Notes

  • When running aios orchestrate --execute live with AIOS_SUBAGENT_CLIENT=codex-cli, Codex CLI v0.114+ supports structured exec outputs (--output-schema, --output-last-message, stdin). AIOS uses them when available and falls back to stdout parsing for older versions.

Required Controls

  • Time budget per step and per run.
  • Retry budget per failure class.
  • Human-gate checkpoints for login, payment, or policy-sensitive actions.
  • Structured logs for every major transition.

Failure Classes

  • Selector/UI drift.
  • Authentication/session loss.
  • Policy rejection/content moderation.
  • Network/transient failures.
  • Tool/runtime errors.

Completion Gate

Declare success only when all are true:

  • Target action succeeded.
  • Expected artifact exists.
  • Evidence snapshot/log exists.
  • Updated runbook reflects newly observed drift.

Resources

  • references/harness-checklist.md: operational checklist template.
  • references/anthropic-mapping.md: principle-to-project mapping.

관련 스킬

Looking for an alternative to aios-long-running-harness or another community skill for your workflow? Explore these related open-source skills.

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