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

v1.0.0
GitHub

About this Skill

Perfect for AI Agents needing robust long-running task management with stability under UI drift and model variability. 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

Quality Score

Top 5%
32
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add rexleimo/rex-cli/aios-long-running-harness
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The aios-long-running-harness skill by rexleimo is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for ai-agent, browser-automation, claude-code.

Ideal Agent Persona

Perfect for AI Agents needing robust long-running task management with stability under UI drift and model variability.

Core Value

Empowers agents to execute long tasks reliably using Playwright Browser MCP and ContextDB, ensuring stability and capturing tool output with idempotent steps and explicit success/failure evidence, ideal for developers working with Codex CLI, Claude Code, Gemini CLI, and OpenCode.

Capabilities Granted for aios-long-running-harness

Stabilizing long-running tasks under UI drift and model variability
Executing idempotent steps with explicit success/failure evidence for reliable task completion
Capturing tool output for debugging and verification purposes

! Prerequisites & Limits

  • Requires Playwright Browser MCP and ContextDB setup
  • Designed for local-first AI agent bootstrap
  • May require adjustments for partial failures and budget constraints
SKILL.md
Readonly

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.

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?

Perfect for AI Agents needing robust long-running task management with stability under UI drift and model variability. 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: Stabilizing long-running tasks under UI drift and model variability, Executing idempotent steps with explicit success/failure evidence for reliable task completion, Capturing tool output for debugging and verification purposes.

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?

Requires Playwright Browser MCP and ContextDB setup. Designed for local-first AI agent bootstrap. May require adjustments for partial failures and budget constraints.

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.

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