tui-state-validation — for Claude Code tui-state-validation, AutoLabOS, community, for Claude Code, ide skills, ai-agents, autonomous-research, checkpointing, experiment-automation, llm-orchestration

v1.0.0

Об этом навыке

Подходящий сценарий: Ideal for AI agents that need tui state validation. Локализованное описание: An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop. It covers ai-agents, autonomous-research, checkpointing workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Возможности

TUI State Validation
Produce a structured live-validation result for one concrete target before proposing or evaluating
Treat actual user-visible behavior as the source of truth and compare, when relevant:
existing or resumed sessions
persisted artifacts

# Core Topics

lhy0718 lhy0718
[3]
[0]
Updated: 4/17/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

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 Quality floor passed for review
Review Score
10/11
Quality Score
57
Canonical Locale
en
Detected Body Locale
en

Подходящий сценарий: Ideal for AI agents that need tui state validation. Локализованное описание: An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop. It covers ai-agents, autonomous-research, checkpointing workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Зачем использовать этот навык

Рекомендация: tui-state-validation helps agents tui state validation. An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop. This AI agent skill supports

Подходит лучше всего

Подходящий сценарий: Ideal for AI agents that need tui state validation.

Реализуемые кейсы использования for tui-state-validation

Сценарий использования: Applying TUI State Validation
Сценарий использования: Applying Produce a structured live-validation result for one concrete target before proposing or evaluating
Сценарий использования: Applying Treat actual user-visible behavior as the source of truth and compare, when relevant:

! Безопасность и ограничения

  • Ограничение: Do not jump straight into editing before writing down the validation record.
  • Ограничение: Do not assume persisted state is correct just because the file exists.
  • Ограничение: Do not assume one working mode implies all modes work.

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

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

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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 tui-state-validation?

Подходящий сценарий: Ideal for AI agents that need tui state validation. Локализованное описание: An operating system for autonomous research — from literature to manuscript inside a governed, checkpointed loop. It covers ai-agents, autonomous-research, checkpointing workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install tui-state-validation?

Run the command: npx killer-skills add lhy0718/AutoLabOS/tui-state-validation. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for tui-state-validation?

Key use cases include: Сценарий использования: Applying TUI State Validation, Сценарий использования: Applying Produce a structured live-validation result for one concrete target before proposing or evaluating, Сценарий использования: Applying Treat actual user-visible behavior as the source of truth and compare, when relevant:.

Which IDEs are compatible with tui-state-validation?

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 tui-state-validation?

Ограничение: Do not jump straight into editing before writing down the validation record.. Ограничение: Do not assume persisted state is correct just because the file exists.. Ограничение: Do not assume one working mode implies all modes work..

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 lhy0718/AutoLabOS/tui-state-validation. 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 tui-state-validation 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

tui-state-validation

Install tui-state-validation, 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

TUI State Validation

Purpose

Produce a structured live-validation result for one concrete target before proposing or evaluating a code change.

Treat actual user-visible behavior as the source of truth and compare, when relevant:

  • fresh sessions
  • existing or resumed sessions
  • persisted artifacts
  • runtime projections and summaries

This skill is for narrowing the problem to the most likely minimal failing boundary before patching.

Use this skill when

Use this skill when the user asks to:

  • run TUI live validation
  • reproduce an interactive bug
  • compare fresh vs existing or resumed sessions
  • check whether persisted outputs match what the UI shows
  • verify whether a fix actually solved the live symptom
  • triage stale summaries, stale panels, stale progress, or stale session-local state
  • validate a specific execution mode or a specific end-to-end flow

Typical trigger phrases:

  • "TUI live validation"
  • "reproduce the interactive bug"
  • "compare fresh vs existing session"
  • "the existing session looks stale"
  • "the screen looks wrong"
  • "actually run it and verify"
  • "persisted output is right but the UI is wrong"

Output format

Always produce these sections:

  1. Validation target
  2. Execution mode
  3. Environment / session context
  4. Reproduction steps
  5. Expected behavior
  6. Actual behavior
  7. Fresh vs existing session comparison
  8. Persisted artifact vs UI comparison
  9. Most likely failing boundary
  10. Evidence supporting that boundary
  11. Recommended next step
  12. Regression risks

Method

  1. Restate the validation target in one sentence.
  2. Identify the relevant execution mode, commands, flows, sessions, and screens.
  3. Check /doctor output and current runtime context first when applicable.
  4. When possible, compare all of:
    • fresh session
    • existing or resumed session
    • persisted artifact
    • top-level summary or projection
  5. Record reproduction steps and observations clearly enough that another agent could follow them exactly.
  6. Choose one dominant problem category:
    • persisted_state_bug
    • in_memory_projection_bug
    • refresh_render_bug
    • resume_reload_bug
    • race_timing_bug
  7. Also identify the most likely failing boundary:
    • persisted artifact layer
    • loader / read layer
    • projection / aggregation layer
    • refresh / subscription / invalidation layer
    • session resume / restore layer
    • renderer presentation layer
    • mode-specific policy divergence boundary
    • timing / race boundary
  8. Recommend the next action:
    • boundary investigation
    • instrumentation
    • minimal patch
    • rerun with a narrower hypothesis

Guardrails

  • Do not jump straight into editing before writing down the validation record.
  • Do not assume persisted state is correct just because the file exists.
  • Do not assume one working mode implies all modes work.
  • If the user explicitly asks you to test the behavior yourself, do not substitute deterministic smoke fixtures, fake providers, or replay-only evidence for that request. Use a real live flow when possible, or state the environment limitation plainly.
  • If a fresh reopen fixes the symptom, explicitly suspect in-memory projection, refresh wiring, resume handling, or session-local cache before blaming persistence.
  • Separate observations from hypotheses.
  • Prefer precise reproduction notes over broad conclusions.

Связанные навыки

Looking for an alternative to tui-state-validation or another community skill for your workflow? Explore these related open-source skills.

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