reviewer-stress-test — for Claude Code reviewer-stress-test, ResearchFlow, community, for Claude Code, ide skills, academic-research, claude-code, codex-cli, knowledge-base, obsidian

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need reviewer stress test. 本地化技能摘要: Semi-automated research assistant and local knowledge base for paper analysis, ideation, coding, experiments, writing, and publication workflows. It covers academic-research, claude-code, codex-cli workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

Reviewer Stress Test
Provide a strong reviewer-mode stress test for:
Default strictness is strong review .
The skill must remain fair and must provide repair paths.
This is an evaluative mode, not a co-creation ideation mode.

# 核心主题

RipeMangoBox RipeMangoBox
[29]
[10]
更新于: 4/22/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, 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
56
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need reviewer stress test. 本地化技能摘要: Semi-automated research assistant and local knowledge base for paper analysis, ideation, coding, experiments, writing, and publication workflows. It covers academic-research, claude-code, codex-cli workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: reviewer-stress-test helps agents reviewer stress test. Semi-automated research assistant and local knowledge base for paper analysis, ideation, coding, experiments, writing, and publication workflows. This AI

适用 Agent 类型

适用场景: Ideal for AI agents that need reviewer stress test.

赋予的主要能力 · reviewer-stress-test

适用任务: Applying Reviewer Stress Test
适用任务: Applying Provide a strong reviewer-mode stress test for:
适用任务: Applying Default strictness is strong review

! 使用限制与门槛

  • 限制说明: The skill must remain fair and must provide repair paths.
  • 限制说明: On-demand web checks : search web only for high-risk or uncertain claims (for example novelty/SOTA/parallel work).
  • 限制说明: Before final verdict, require the user to state:

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.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 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

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

reviewer-stress-test 是什么?

适用场景: Ideal for AI agents that need reviewer stress test. 本地化技能摘要: Semi-automated research assistant and local knowledge base for paper analysis, ideation, coding, experiments, writing, and publication workflows. It covers academic-research, claude-code, codex-cli workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 reviewer-stress-test?

运行命令:npx killer-skills add RipeMangoBox/ResearchFlow/reviewer-stress-test。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

reviewer-stress-test 适用于哪些场景?

典型场景包括:适用任务: Applying Reviewer Stress Test、适用任务: Applying Provide a strong reviewer-mode stress test for:、适用任务: Applying Default strictness is strong review。

reviewer-stress-test 支持哪些 IDE 或 Agent?

该技能兼容 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。可使用 Killer-Skills CLI 一条命令通用安装。

reviewer-stress-test 有哪些限制?

限制说明: The skill must remain fair and must provide repair paths.;限制说明: On-demand web checks : search web only for high-risk or uncertain claims (for example novelty/SOTA/parallel work).;限制说明: Before final verdict, require the user to state:。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add RipeMangoBox/ResearchFlow/reviewer-stress-test。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    reviewer-stress-test 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

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

reviewer-stress-test

安装 reviewer-stress-test,这是一款面向AI agent workflows and automation的 AI Agent Skill。查看评审结论、使用场景与安装路径。

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

Reviewer Stress Test

Purpose

Provide a strong reviewer-mode stress test for:

  • idea
  • roadmap
  • full paper draft

Default strictness is strong review. The skill must remain fair and must provide repair paths.

Positioning

This is an evaluative mode, not a co-creation ideation mode.

  • Focus: attack assumptions, expose rejection-level risks, test evidence sufficiency.
  • Output style: verdict-like risk assessment with fixes.

Evidence protocol

  1. KB-first: first ground analysis via papers-query-knowledge-base.
  2. On-demand web checks: search web only for high-risk or uncertain claims (for example novelty/SOTA/parallel work).
  3. Separate missing evidence from actual invalidity.

Mandatory user clarification

Before final verdict, require the user to state:

  • The key difference between this work and the most similar prior works.
  • Preferably top-3 nearest works with one-line distinctions.

If this is missing, mark novelty confidence as limited.

Review dimensions

Challenge from multiple angles:

  • Problem framing and significance
  • Novelty and non-triviality
  • Technical soundness
  • Experimental rigor (baselines, ablations, statistics)
  • Reproducibility and implementation feasibility
  • Failure modes, robustness, ethics/bias scope

Output contract

Return structured sections:

  1. Overall risk verdict (acceptance risk band + confidence)
  2. Major concerns (rejection-level)
  3. Minor concerns
  4. Nearest-work gap check
  5. Repair paths (for each major concern: minimum actionable steps)
  6. Re-review checklist (what evidence would change verdict)

Tone and fairness guardrails

  • Be rigorous, specific, and evidence-based.
  • Do not use dismissive or insulting phrasing.
  • Every major concern should include at least one feasible repair action.

Non-goals

  • Not for open-ended idea expansion.
  • Not for broad roadmap generation from scratch.

Independence

This skill can be used independently and does not depend on outputs from idea-focus-coach or research-brainstorm-from-kb. Users can directly bring a formed idea, roadmap, or paper draft into stress testing.

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