ワンクリックで
gsd-code-review
Review source files changed during a phase for bugs, security issues, and code quality problems
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Review source files changed during a phase for bugs, security issues, and code quality problems
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | gsd-code-review |
| description | Review source files changed during a phase for bugs, security issues, and code quality problems |
| metadata | {"short-description":"Review source files changed during a phase for bugs, security issues, and code quality problems"} |
<codex_skill_adapter>
$gsd-code-review.$gsd-code-review as {{GSD_ARGS}}.{{GSD_ARGS}} as empty.GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:
Parameter mapping:
header → headerquestion → question"Label" — description → {label: "Label", description: "description"}id from header: lowercase, replace spaces with underscoresBatched calls:
AskUserQuestion([q1, q2]) → single request_user_input with multiple entries in questions[]Multi-select workaround:
multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.Execute mode fallback:
request_user_input is rejected (Execute mode), present a plain-text numbered list and pick a reasonable default.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> blocksSpawn restriction:
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:
wait(ids) for all to completeResult parsing:
CHECKPOINT, PLAN COMPLETE, SUMMARY, etc.close_agent(id) after collecting results from each agent
</codex_skill_adapter>Spawns the gsd-code-reviewer agent to analyze code at the specified depth level. Produces REVIEW.md artifact in the phase directory with severity-classified findings.
Arguments:
--depth=quick|standard|deep (optional) — review depth level, overrides workflow.code_review_depth config
--files file1,file2,... (optional) — explicit comma-separated file list, skips SUMMARY/git scoping (highest precedence for scoping)Output: {padded_phase}-REVIEW.md in phase directory + inline summary of findings
<execution_context>
@/Users/andreas/Library/Mobile Documents/comappleCloudDocs/Code/gsd-test/.codex/get-shit-done/workflows/code-review.md
</execution_context>
Optional flags parsed from {{GSD_ARGS}}:
--depth=VALUE — Depth override (quick|standard|deep). If provided, overrides workflow.code_review_depth config.--files=file1,file2,... — Explicit file list override. Has highest precedence for file scoping per D-08. When provided, workflow skips SUMMARY.md extraction and git diff fallback entirely.Context files (AGENTS.md, SUMMARY.md, phase state) are resolved inside the workflow via gsd-sdk query init.phase-op and delegated to agent via <files_to_read> blocks.
Execute the code-review workflow from @/Users/andreas/Library/Mobile Documents/comappleCloudDocs/Code/gsd-test/.codex/get-shit-done/workflows/code-review.md end-to-end.
The workflow (not this command) enforces these gates:
Add an idea to the backlog parking lot (999.x numbering)
Add phase to end of current milestone in roadmap
Generate tests for a completed phase based on UAT criteria and implementation
Capture idea or task as todo from current conversation context
Generate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategy
Analyze phase dependencies and suggest Depends on entries for ROADMAP.md