gsd-eval-review — for Claude Code gsd-eval-review, TotNghiepProject, community, for Claude Code, ide skills, $gsd-eval-review, {{GSD_ARGS}}, AskUserQuestion, request_user_input, header

v1.0.0

이 스킬 정보

적합한 상황: Ideal for AI agents that need <codex skill adapter. 현지화된 요약: Đây là dự án final project <codex skill adapter A. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

기능

<codex skill adapter
A. Skill Invocation
This skill is invoked by mentioning $gsd-eval-review.
Treat all user text after $gsd-eval-review as {{GSD ARGS}}.
If no arguments are present, treat {{GSD ARGS}} as empty.

# 핵심 주제

ndn2k5 ndn2k5
[0]
[0]
업데이트: 5/4/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

적합한 상황: Ideal for AI agents that need <codex skill adapter. 현지화된 요약: Đây là dự án final project <codex skill adapter A. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

이 스킬을 사용하는 이유

추천 설명: gsd-eval-review helps agents <codex skill adapter. Đây là dự án final project <codex skill adapter A. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

최적의 용도

적합한 상황: Ideal for AI agents that need <codex skill adapter.

실행 가능한 사용 사례 for gsd-eval-review

사용 사례: Applying <codex skill adapter
사용 사례: Applying A. Skill Invocation
사용 사례: Applying This skill is invoked by mentioning $gsd-eval-review

! 보안 및 제한 사항

  • 제한 사항: You may only proceed without a user answer when one of these is true:
  • 제한 사항: Do NOT pick a default and continue (#3018)
  • 제한 사항: Requires repository-specific context from the skill documentation

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs 데모

Browser Sandbox Environment

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Boot Container Sandbox

FAQ 및 설치 단계

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

? 자주 묻는 질문

gsd-eval-review은 무엇인가요?

적합한 상황: Ideal for AI agents that need <codex skill adapter. 현지화된 요약: Đây là dự án final project <codex skill adapter A. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

gsd-eval-review은 어떻게 설치하나요?

다음 명령을 실행하세요: npx killer-skills add ndn2k5/TotNghiepProject. Cursor, Windsurf, VS Code, Claude Code와 19개 이상의 다른 IDE에서 동작합니다.

gsd-eval-review은 어디에 쓰이나요?

주요 활용 사례는 다음과 같습니다: 사용 사례: Applying <codex skill adapter, 사용 사례: Applying A. Skill Invocation, 사용 사례: Applying This skill is invoked by mentioning $gsd-eval-review.

gsd-eval-review 와 호환되는 IDE는 무엇인가요?

이 스킬은 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 와 호환됩니다. 통합 설치에는 Killer-Skills CLI를 사용하세요.

gsd-eval-review에 제한 사항이 있나요?

제한 사항: You may only proceed without a user answer when one of these is true:. 제한 사항: Do NOT pick a default and continue (#3018). 제한 사항: Requires repository-specific context from the skill documentation.

이 스킬 설치 방법

  1. 1. 터미널 열기

    프로젝트 디렉터리에서 터미널 또는 명령줄을 여세요.

  2. 2. 설치 명령 실행

    npx killer-skills add ndn2k5/TotNghiepProject 를 실행하세요. CLI가 IDE 또는 에이전트를 자동으로 감지하고 스킬을 설정합니다.

  3. 3. 스킬 사용 시작

    스킬이 이제 활성화되었습니다. 현재 프로젝트에서 gsd-eval-review을 바로 사용할 수 있습니다.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

gsd-eval-review

Đây là dự án final project <codex skill adapter A. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows. <codex skill adapter

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-eval-review.
  • Treat all user text after $gsd-eval-review as {{GSD_ARGS}}.
  • If no arguments are present, treat {{GSD_ARGS}} as empty.

B. AskUserQuestion → request_user_input Mapping

GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:

Parameter mapping:

  • headerheader
  • questionquestion
  • Options formatted as "Label" — description{label: "Label", description: "description"}
  • Generate id from header: lowercase, replace spaces with underscores

Batched calls:

  • AskUserQuestion([q1, q2]) → single request_user_input with multiple entries in questions[]

Multi-select workaround:

  • Codex has no multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.

Execute mode fallback:

  • When request_user_input is rejected or unavailable, you MUST stop and present the questions as a plain-text numbered list, then wait for the user's reply. Do NOT pick a default and continue (#3018).
  • You may only proceed without a user answer when one of these is true: (a) the invocation included an explicit non-interactive flag (--auto or --all), (b) the user has explicitly approved a specific default for this question, or (c) the workflow's documented contract says defaults are safe (e.g. autonomous lifecycle paths).
  • Do NOT write workflow artifacts (CONTEXT.md, DISCUSSION-LOG.md, PLAN.md, checkpoint files) until the user has answered the plain-text questions or one of (a)-(c) above applies. Surfacing the questions and waiting is the correct response — silently defaulting and writing artifacts is the #3018 failure mode.

C. Task() → spawn_agent Mapping

GSD workflows use Task(...) (Claude Code syntax). Translate to Codex collaboration tools:

Direct mapping:

  • Task(subagent_type="X", prompt="Y")spawn_agent(agent_type="X", message="Y")
  • Task(model="...") → omit. spawn_agent has no inline model parameter; GSD embeds the resolved per-agent model directly into each agent's .toml at install time so model_overrides from .planning/config.json and ~/.gsd/defaults.json are honored automatically by Codex's agent router.
  • fork_context: false by default — GSD agents load their own context via <files_to_read> blocks

Spawn restriction:

  • Codex restricts spawn_agent to cases where the user has explicitly requested sub-agents. When automatic spawning is not permitted, do the work inline in the current agent rather than attempting to force a spawn.

Parallel fan-out:

  • Spawn multiple agents → collect agent IDs → wait(ids) for all to complete

Result parsing:

  • Look for structured markers in agent output: CHECKPOINT, PLAN COMPLETE, SUMMARY, etc.
  • close_agent(id) after collecting results from each agent </codex_skill_adapter>
<objective> Conduct a retroactive evaluation coverage audit of a completed AI phase. Checks whether the evaluation strategy from AI-SPEC.md was implemented. Produces EVAL-REVIEW.md with score, verdict, gaps, and remediation plan. </objective>

<execution_context> @C:/Users/wikiepeidia/OneDrive - caugiay.edu.vn/bài tập/usth/GEN14/INTERNSHIP/example internship/TotNghiepProject/.codex/get-shit-done/workflows/eval-review.md @C:/Users/wikiepeidia/OneDrive - caugiay.edu.vn/bài tập/usth/GEN14/INTERNSHIP/example internship/TotNghiepProject/.codex/get-shit-done/references/ai-evals.md </execution_context>

<context> Phase: {{GSD_ARGS}} — optional, defaults to last completed phase. </context> <process> Execute @C:/Users/wikiepeidia/OneDrive - caugiay.edu.vn/bài tập/usth/GEN14/INTERNSHIP/example internship/TotNghiepProject/.codex/get-shit-done/workflows/eval-review.md end-to-end. Preserve all workflow gates. </process>

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