eval-and-trace-designer — for Claude Code eval-and-trace-designer, Discharge-Gatekeeper, community, for Claude Code, ide skills, AGENTS.md, PLAN.md, Clinical Intelligence MCP, Designer, adding

v2.0

关于此技能

适用场景: Ideal for AI agents that need eval and trace designer. 本地化技能摘要: eval-and-trace-designer helps AI agents handle repository-specific developer workflows with documented implementation details.

功能特性

Eval and Trace Designer
Use this skill when
adding or revising eval prompts
defining failure and fallback assertions
checking parseability or citation rules

# 核心主题

Arshgill01 Arshgill01
[1]
[0]
更新于: 4/18/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

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
8/11
Quality Score
41
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need eval and trace designer. 本地化技能摘要: eval-and-trace-designer helps AI agents handle repository-specific developer workflows with documented implementation details.

核心价值

推荐说明: eval-and-trace-designer helps agents eval and trace designer. eval-and-trace-designer helps AI agents handle repository-specific developer workflows with documented implementation details.

适用 Agent 类型

适用场景: Ideal for AI agents that need eval and trace designer.

赋予的主要能力 · eval-and-trace-designer

适用任务: Applying Eval and Trace Designer
适用任务: Applying Use this skill when
适用任务: Applying adding or revising eval prompts

! 使用限制与门槛

  • 限制说明: Requires repository-specific context from the skill documentation
  • 限制说明: Works best when the underlying tools and dependencies are already configured

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.

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

eval-and-trace-designer 是什么?

适用场景: Ideal for AI agents that need eval and trace designer. 本地化技能摘要: eval-and-trace-designer helps AI agents handle repository-specific developer workflows with documented implementation details.

如何安装 eval-and-trace-designer?

运行命令:npx killer-skills add Arshgill01/Discharge-Gatekeeper/eval-and-trace-designer。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

eval-and-trace-designer 适用于哪些场景?

典型场景包括:适用任务: Applying Eval and Trace Designer、适用任务: Applying Use this skill when、适用任务: Applying adding or revising eval prompts。

eval-and-trace-designer 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。

eval-and-trace-designer 有哪些限制?

限制说明: Requires repository-specific context from the skill documentation;限制说明: Works best when the underlying tools and dependencies are already configured。

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 Arshgill01/Discharge-Gatekeeper/eval-and-trace-designer。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    eval-and-trace-designer 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

eval-and-trace-designer

安装 eval-and-trace-designer,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

Eval and Trace Designer

Use this skill when

  • adding or revising eval prompts
  • defining failure and fallback assertions
  • checking parseability or citation rules
  • protecting hidden-risk and reconciliation behavior from drift

First read

  1. AGENTS.md
  2. PLAN.md
  3. docs/evals.md
  4. docs/phase0-hidden-risk-prompt-contract.md
  5. docs/phase0-orchestrator-decision-matrix.md

Goal

Keep the two-MCP plus external-A2A system inspectable and testable.

Required eval lenses

  1. Phase 1: Clinical Intelligence MCP smoke
  2. Phase 2: two-MCP integration
  3. Phase 3: external A2A orchestration
  4. parseability and citation gates
  5. failure and fallback behavior

Always check

  • output is valid JSON without repair
  • citations map to real inputs
  • duplicate hidden-risk findings are suppressed
  • contradictory evidence does not become confident prose
  • fallback direct-MCP behavior is documented when the A2A path fails

Do not

  • write evals that assume hidden state
  • reward verbosity over inspectability
  • ignore null-result behavior for hidden-risk review

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寻找 eval-and-trace-designer 的替代方案 (Alternative) 或可搭配使用的同类 community Skill?探索以下相关开源技能。

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