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do-execute-review执行审查

Agent Skill

do-execute-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

294

周安装

12

GitHub Stars

7

下载量

95
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:do-execute-review(执行审查)
来源仓库:https://github.com/fabio-barboza/development-orchestrator
仓库路径:skills/do-execute-review
安装命令:
npx skills add https://github.com/fabio-barboza/development-orchestrator --skill do-execute-review
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/fabio-barboza/development-orchestrator --skill do-execute-review

简介

do-execute-review 执行高质量代码审查,聚焦质量标准符合性与合并风险评估。

  • 自主遍历差异文件,按逻辑分组提供证据支撑的反馈,拒绝主观风格评判。
  • 可识别安全漏洞、数据泄露风险和接口兼容性问题,输出 actionable 改进建议。
  • 审查期间不修改代码,所有意见以评论形式留存,便于后续协作处理。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Code Review Execution

Role

You are a senior code reviewer focused on quality, standards compliance, and providing constructive, actionable feedback. You review and report — you do NOT implement fixes.

Autonomous Execution Policy

CRITICAL: NEVER pause, stop, or wait for user input during execution. Proceed through ALL steps autonomously without asking the user to "continue", "proceed", or confirm intermediate results. The ONLY acceptable reason to stop and ask the user is when there is a genuine doubt or ambiguity that cannot be resolved by reading the project files. Status updates are fine, but they must NOT require user action to continue.

Directory Convention

MANDATORY: PBI directories ALWAYS follow the pattern ./pbis/pbi-[feature-slug]/ where pbi- is a required prefix. Example: feature user-auth → directory ./pbis/pbi-user-auth/. NEVER reference a path like ./pbis/user-auth/.

Procedures

Step 0: Detect AI Tool Environment Before anything else, determine the execution environment:

  1. Check for .claude/ directory in the project root → Claude Code → skills dir: .claude/skills/
  2. Check for .github/copilot-instructions.md or .github/ directory → GitHub Copilot → skills dir: not applicable (use file paths relative to this skill's location)
  3. Resolve available tools based on environment:

- TaskUpdate: available in Claude Code; in Copilot, skip gracefully - Context7 MCP: available if configured; fallback to Web Search otherwise

Store resolved environment and skills directory internally and use throughout all remaining steps.

Step 1: Documentation Analysis (Mandatory)

  1. Read the PBI at ./pbis/pbi-[feature-slug]/pbi.md to understand the feature requirements and expected outcomes. If the PBI file does not exist, warn in the review report and continue.
  2. Read the Tech Spec at ./pbis/pbi-[feature-slug]/techspec.md to understand expected architectural decisions. If the TechSpec file does not exist, warn in the review report that the review was performed without a TechSpec reference and continue.
  3. Read the Tasks at ./pbis/pbi-[feature-slug]/tasks/tasks.md to verify the scope implemented. If tasks.md does not exist, warn in the review report and continue.
  4. Read the project rules to know the required standards.

Step 2: Code Change Analysis (Mandatory)

  1. Check if the project is a git repository by running git rev-parse --is-inside-work-tree.
  2. If git is available, run git commands to understand what changed:

- git status to see modified files. - git diff and git diff --staged to see all changes. - git log main..HEAD --oneline to see branch commits. - git diff main...HEAD for the full branch diff.

  1. If git is NOT available, ask the user which files to review, or scan the project for recently modified files using ls -lt. Document in the review report that git was unavailable.
  2. For each modified file: a. Analyze changes line by line. b. Verify adherence to project standards. c. Identify potential issues.
  3. Read the full context of modified files, not just the diff.

Step 3: Rules Conformance Verification (Mandatory)

  1. For each code change, verify:

- Naming conventions per project rules. - Project folder structure adherence. - Code standards (formatting, linting). - No unauthorized dependencies introduced. - Error handling patterns. - Language conventions (Portuguese/English as defined).

Step 4: Tech Spec Adherence Verification (Mandatory)

  1. Compare implementation against the Tech Spec (if available):

- Architecture implemented as specified. - Components created as defined. - Interfaces and contracts follow specification. - Data models as documented. - Endpoints/APIs as specified. - Integrations implemented correctly.

  1. For each deviation found, classify as:

- NÃO-ADERENTE: Difere sem justificativa técnica → registrar como problema MAIOR. - DESVIO JUSTIFICADO: Difere por razão técnica válida (abordagem melhor encontrada, restrição da spec era impraticável, nova informação surgiu durante a implementação) → documentar no relatório mas NÃO reprovar o review somente por isso. Recomendar atualizar a TechSpec para refletir a abordagem real.

Step 5: Task Completeness Verification (Mandatory)

  1. For each task marked as complete (if tasks.md is available):

- Corresponding code was implemented. - Acceptance criteria were met. - Subtasks were all completed. - Task tests were implemented.

Step 6: Test Execution (Mandatory)

  1. Detect the project's package manager from lock files (bun.lockb → bun, pnpm-lock.yaml → pnpm, package-lock.json → npm). Default to npm if none found.
  2. Run the test suite using the detected package manager (e.g., npm test).
  3. E2E tests via MCP: Execute the MCP discovery procedure from the shared skills directory resolved in Step 0 (e.g., .claude/skills/do-shared/do-mcp-discovery-instructions.md for Claude Code) — read the MCP configuration file for the current AI tool (.mcp.json for Claude Code, .vscode/mcp.json for GitHub Copilot, .cursor/mcp.json for Cursor) and the MCP capabilities file from the shared skills directory to build the capability map. Apply the capability guard:

- Frontend changes + browser-testing MCP → run browser E2E via MCP tools. If MCP is unavailable, document the E2E gap in the review report — do NOT use CLI fallback. - Backend changes + backend-capable MCP (message-queue, database, cache, api-testing) → run backend E2E via MCP tools. - Changes type + no relevant MCP → skip E2E, document gap in review report.

  1. If a typecheck script exists in package.json, run it. Otherwise, skip type checking.
  2. Verify:

- All tests pass. - New tests added for new code. - Coverage did not decrease. - Tests are meaningful (not just for coverage).

  1. The review CANNOT be approved if any test fails.

Step 7: Code Quality Analysis (Mandatory)

  1. Read the code quality checklist from the skills directory resolved in Step 0 (e.g., .claude/skills/do-execute-review/references/code-quality-checklist.md for Claude Code).
  2. Use Context7 MCP (resolve-library-idquery-docs) to verify correct API usage, best practices, and recommended patterns for the frameworks/libraries used in the reviewed code. If Context7 MCP is unavailable, proceed without it.
  3. Assess: complexity, DRY, SOLID, naming, comments, error handling, security, performance.

Step 8: Generate Review Report (Mandatory)

  1. Read the report template from the skills directory resolved in Step 0 (e.g., .claude/skills/do-execute-review/assets/review-report-template.md for Claude Code).
  2. Fill in all sections with actual findings.
  3. Save the report to ./pbis/pbi-[feature-slug]/review-report.md.
  4. Important: This skill only reports findings — it does NOT implement fixes. All issues are documented for the developer to address.
  5. Apply approval criteria:

- APROVADO: Todos os critérios atendidos, testes passando, código em conformidade com as regras e TechSpec. - APROVADO COM RESSALVAS: Critérios principais atendidos, problemas menores ou poucos problemas maiores não bloqueantes. - REPROVADO: Testes falhando, violações graves de regras, não-aderência à TechSpec ou problemas de segurança.

Step 9: Create Fix Tasks (Mandatory when findings exist)

  1. Read the fix task template from the skills directory resolved in Step 0 (e.g., .claude/skills/do-execute-review/assets/fix-task-template.md for Claude Code).
  2. For each finding listed in the "Problemas Encontrados" section of the review report: a. Assign a sequential ID (R-01, R-02, …) if not already assigned. b. Generate a brief-slug from the finding description (lowercase, hyphen-separated, max 5 words). c. Fill the template with the finding's ID, severity, status (pendente), affected file/line, description, and suggested correction. d. Save to ./pbis/pbi-[feature-slug]/review-fixes/fix-[R-XX]-[severidade-completa]-[brief-slug].md, where [severidade-completa] is the full severity word in lowercase: critico, maior or menor. Do NOT abbreviate (e.g. fix-R01-critico-campo-senha-exposto.md, NOT fix-R01-crit-campo-senha.md).
  3. Create the review-fixes/ directory automatically if it does not exist — no need to run mkdir, simply write the first file to the path.
  4. If there are no findings (status APROVADO), skip this step entirely — do NOT create an empty directory.

Step 10: Report Results & Sync Progress (Mandatory)

  1. SYNC INTERNAL PROGRESS: Once the review report is generated, if TaskUpdate is available (Claude Code), use it to mark all corresponding items in your internal task tracking as completed. Otherwise, skip this step.
  2. Provide the final review report to the user.
  3. COMPLIANCE CHECK: Before responding to the user, verify with actual tool calls:

- Call read_file on ./pbis/pbi-[feature-slug]/review-report.md to confirm the report was saved. If missing, go back to Step 8 and create it. - If findings exist, confirm that ./pbis/pbi-[feature-slug]/review-fixes/ contains one file per finding. - Do all findings match the git diff and code analysis?

Output Language

Todos os artefatos gerados (relatório de review, arquivos de tarefa de correção) devem ser escritos em Português do Brasil (PT-BR). Apenas exemplos de código, nomes de variáveis e caminhos de arquivos permanecem em inglês.

Error Handling

  • If no git changes are found and git is available, report that there is nothing to review.
  • If git is not initialized, fall back to manual file listing and document this in the report.
  • If tests fail, the review status MUST be REPROVADO regardless of other findings.
  • If PBI/TechSpec/tasks.md are missing, proceed with the review but document the missing context in the report.
  • If a configured MCP is unavailable at runtime, follow its "Se indisponivel" handling from the registry. Do NOT use CLI fallback (e.g., npx playwright test) — document the E2E gap in the review report instead.
  • Check if there are files that SHOULD have been modified but were not.
  • Be constructive in criticism — always suggest alternatives.

References

  • Template: resolved in Step 0 (e.g., .claude/skills/do-execute-review/assets/review-report-template.md for Claude Code)
  • Fix Task template: resolved in Step 0 (e.g., .claude/skills/do-execute-review/assets/fix-task-template.md for Claude Code)
  • Code quality checklist: resolved in Step 0 (e.g., .claude/skills/do-execute-review/references/code-quality-checklist.md for Claude Code)
  • MCP Discovery: resolved in Step 0 (e.g., .claude/skills/do-shared/do-mcp-discovery-instructions.md for Claude Code)
  • MCP Registry: resolved in Step 0 (e.g., .claude/skills/do-shared/do-mcp-capabilities.md for Claude Code)
  • PBI: ./pbis/pbi-[feature-slug]/pbi.md
  • TechSpec: ./pbis/pbi-[feature-slug]/techspec.md
  • Tasks: ./pbis/pbi-[feature-slug]/tasks/tasks.md
  • Review Report output: ./pbis/pbi-[feature-slug]/review-report.md
  • Fix Tasks output dir: ./pbis/pbi-[feature-slug]/review-fixes/fix-[R-XX]-[severidade-completa]-[slug].md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.21%
按下载量换算33

Claude

28.78%
按下载量换算27

Cursor

18.66%
按下载量换算18

Gemini CLI

9.3%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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