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document-review文件审查

Agent Skill

document-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

13,366

周安装

546

GitHub Stars

15,877

下载量

4,324
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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:document-review(文件审查)
来源仓库:https://github.com/everyinc/compound-engineering-plugin
仓库路径:skills/document-review
安装命令:
npx skills add https://github.com/everyinc/compound-engineering-plugin --skill document-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/everyinc/compound-engineering-plugin --skill document-review

简介

多角色并行评审需求文档的智能辅助工具。

  • 自动分派专家型 Agent 进行交叉验证。
  • 支持静默模式运行与批量处理任务。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。
  • 输出包含改进建议与决策问题的结构化报告。
  • document-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Document Review

Review requirements or plan documents through multi-persona analysis. Dispatches specialized reviewer agents in parallel, auto-fixes quality issues, and presents strategic questions for user decision.

Phase 0: Detect Mode

Check the skill arguments for mode:headless. Arguments may contain a document path, mode:headless, or both. Tokens starting with mode: are flags, not file paths -- strip them from the arguments and use the remaining token (if any) as the document path for Phase 1.

If mode:headless is present, set headless mode for the rest of the workflow.

Headless mode changes the interaction model, not the classification boundaries. Document-review still applies the same judgment about what has one clear correct fix vs. what needs user judgment. The only difference is how non-auto findings are delivered:

  • auto fixes are applied silently (same as interactive)
  • present findings are returned as structured text for the caller to handle -- no AskUserQuestion prompts, no interactive approval
  • Phase 5 returns immediately with "Review complete" (no refine/complete question)

The caller receives findings with their original classifications intact and decides what to do with them.

Callers invoke headless mode by including mode:headless in the skill arguments, e.g.:

Skill("compound-engineering:document-review", "mode:headless docs/plans/my-plan.md")

If mode:headless is not present, the skill runs in its default interactive mode with no behavior change.

Phase 1: Get and Analyze Document

If a document path is provided: Read it, then proceed.

If no document is specified (interactive mode): Ask which document to review, or find the most recent in docs/brainstorms/ or docs/plans/ using a file-search/glob tool (e.g., Glob in Claude Code).

If no document is specified (headless mode): Output "Review failed: headless mode requires a document path. Re-invoke with: Skill("compound-engineering:document-review", "mode:headless ")" without dispatching agents.

Classify Document Type

After reading, classify the document:

  • requirements -- from docs/brainstorms/, focuses on what to build and why
  • plan -- from docs/plans/, focuses on how to build it with implementation details

Select Conditional Personas

Analyze the document content to determine which conditional personas to activate. Check for these signals:

product-lens -- activate when the document makes challengeable claims about what to build and why, or when the proposed work carries strategic weight beyond the immediate problem. The system's users may be end users, developers, operators, maintainers, or any other audience -- the criteria are domain-agnostic. Check for either leg:

*Leg 1 — Premise claims:* The document stakes a position on what to build or why that a knowledgeable stakeholder could reasonably challenge -- not merely describing a task or restating known requirements:

  • Problem framing where the stated need is non-obvious or debatable, not self-evident from existing context
  • Solution selection where alternatives plausibly exist (implicit or explicit)
  • Prioritization decisions that explicitly rank what gets built vs deferred
  • Goal statements that predict specific user outcomes, not just restate constraints or describe deliverables

*Leg 2 — Strategic weight:* The proposed work could affect system trajectory, user perception, or competitive positioning, even if the premise is sound:

  • Changes that shape how the system is perceived or what it becomes known for
  • Complexity or simplicity bets that affect adoption, onboarding, or cognitive load
  • Work that opens or closes future directions (path dependencies, architectural commitments)
  • Opportunity cost implications -- building this means not building something else

design-lens -- activate when the document contains:

  • UI/UX references, frontend components, or visual design language
  • User flows, wireframes, screen/page/view mentions
  • Interaction descriptions (forms, buttons, navigation, modals)
  • References to responsive behavior or accessibility

security-lens -- activate when the document contains:

  • Auth/authorization mentions, login flows, session management
  • API endpoints exposed to external clients
  • Data handling, PII, payments, tokens, credentials, encryption
  • Third-party integrations with trust boundary implications

scope-guardian -- activate when the document contains:

  • Multiple priority tiers (P0/P1/P2, must-have/should-have/nice-to-have)
  • Large requirement count (>8 distinct requirements or implementation units)
  • Stretch goals, nice-to-haves, or "future work" sections
  • Scope boundary language that seems misaligned with stated goals
  • Goals that don't clearly connect to requirements

adversarial -- activate when the document contains:

  • More than 5 distinct requirements or implementation units
  • Explicit architectural or scope decisions with stated rationale
  • High-stakes domains (auth, payments, data migrations, external integrations)
  • Proposals of new abstractions, frameworks, or significant architectural patterns

Phase 2: Announce and Dispatch Personas

Announce the Review Team

Tell the user which personas will review and why. For conditional personas, include the justification:

Reviewing with:
- coherence-reviewer (always-on)
- feasibility-reviewer (always-on)
- scope-guardian-reviewer -- plan has 12 requirements across 3 priority levels
- security-lens-reviewer -- plan adds API endpoints with auth flow

Build Agent List

Always include:

  • compound-engineering:document-review:coherence-reviewer
  • compound-engineering:document-review:feasibility-reviewer

Add activated conditional personas:

  • compound-engineering:document-review:product-lens-reviewer
  • compound-engineering:document-review:design-lens-reviewer
  • compound-engineering:document-review:security-lens-reviewer
  • compound-engineering:document-review:scope-guardian-reviewer
  • compound-engineering:document-review:adversarial-document-reviewer

Dispatch

Dispatch all agents in parallel using the platform's task/agent tool (e.g., Agent tool in Claude Code, spawn in Codex). Omit the mode parameter so the user's configured permission settings apply. Each agent receives the prompt built from the subagent template included below with these variables filled:

VariableValue
{persona_file}Full content of the agent's markdown file
{schema}Content of the findings schema included below
{document_type}"requirements" or "plan" from Phase 1 classification
{document_path}Path to the document
{document_content}Full text of the document

Pass each agent the full document -- do not split into sections.

Error handling: If an agent fails or times out, proceed with findings from agents that completed. Note the failed agent in the Coverage section. Do not block the entire review on a single agent failure.

Dispatch limit: Even at maximum (7 agents), use parallel dispatch. These are document reviewers with bounded scope reading a single document -- parallel is safe and fast.

Phases 3-5: Synthesis, Presentation, and Next Action

After all dispatched agents return, read references/synthesis-and-presentation.md for the synthesis pipeline (validate, gate, dedup, promote, resolve contradictions, route by autofix class), auto-fix application, finding presentation, and next-action menu. Do not load this file before agent dispatch completes.


Included References

Subagent Template

@./references/subagent-template.md

Findings Schema

@./references/findings-schema.json

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

34.94%
按下载量换算1,511

Claude

29.86%
按下载量换算1,291

Cursor

17.88%
按下载量换算773

Gemini CLI

8.22%
按下载量换算355

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/everyinc/compound-engineering-plugin --skill document-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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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