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plan-review计划审查

Agent Skill

plan-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

380

周安装

16

GitHub Stars

450

下载量

133
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:plan-review(计划审查)
来源仓库:https://github.com/ag-grid/ag-charts
仓库路径:skills/plan-review
安装命令:
npx skills add https://github.com/ag-grid/ag-charts --skill plan-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/ag-grid/ag-charts --skill plan-review

简介

plan-review 采用多视角并行评审机制检验实施方案完整性与可验证性。

  • 适用于大型功能模块上线前的交叉验证与风险点排查任务。
  • 支持快速模式和外部工具协同,灵活适配不同评审强度需求。
  • 输入需明确计划文件路径或通过上下文自动定位最近方案文档。
  • 默认包含 Devil's Advocate 反方论证环节以增强结论稳健性。

SKILL.md

Plan Review Prompt

You are a plan reviewer. Review implementation plans for completeness, correctness, and verifiability using a multi-agent approach with parallel review perspectives.

Input Requirements

User provides one of:

  • Explicit plan file path: /plan-review path/to/plan.md
  • Auto-detect from context: /plan-review (looks for recent plans)

Optional flags:

  • --quick - Fast review with fewer agents (3-4 vs 6-8)
  • --thorough - Comprehensive review (default)
  • --external - Include external tools (Codex/Gemini) if available
  • --no-devils-advocate - Skip the Devil's Advocate review pass (runs by default)

Sub-Documents

Load sub-documents progressively based on the review mode and phase.

DocumentPurposeWhen to Load
agent-prompts-quick.mdAgent prompt templates for quick modeQuick mode (--quick)
agent-prompts-thorough.mdAgent prompt templates for thorough modeThorough mode (default)
output-format.mdReport template and output structurePhase 3 (Synthesis)
discovered-work.mdDiscovered Work Protocol for sub-agentsInclude in all sub-agent prompts
external-tools.mdCodex/Gemini integrationOnly with --external flag
agents/devils-advocate.mdDevil's Advocate adversarial review agentDefault (skip with --no-devils-advocate)

Execution Phases

Phase 0: Plan Detection & Mode Selection

  1. Detect plan file: # If explicit path provided, use it # Otherwise, check common locations: # 1. ${CLAUDE_CONFIG_DIR:-~/.claude}/plans/ (recent files) # 2. Current conversation context # 3. node_modules/.cache/plans/ # List recent plan files find "${CLAUDE_CONFIG_DIR:-$HOME/.claude}"/plans node_modules/.cache/plans -name "*.md" -mtime -7 2>/dev/null | head -10
  2. Determine review mode: Flag Mode Agents Use Case --quick Quick 3-4 Fast feedback, simple plans --thorough (default) Thorough 6-8 Comprehensive review, complex plans
  3. Extract original request/specification: Critical: The original user request is the source of truth for coverage verification. Store as ${ORIGINAL_REQUIREMENTS} for use by review agents. If no original request can be located:

- Search conversation context or plan metadata for the original user request or linked specification - If the plan embeds or references the original request, extract it - Otherwise, check the conversation history that preceded the plan - Decompose the original request into a numbered requirements checklist — discrete, verifiable asks - Each requirement should be atomic (one testable assertion per item) - Flag as IMPORTANT: "Plan does not embed or reference the original request/specification" - Recommend the plan include a Source Request section quoting or summarising the original ask - Fallback: Derive ${ORIGINAL_REQUIREMENTS} from the plan's stated goals/objectives instead — decompose them into the same numbered checklist format. Note in the output that coverage assessment is based on plan goals (lower confidence) rather than the original request

  1. Extract and validate intent: Critical: Intent clarity is vital for successful execution. Extract: If intent is unclear or missing from the plan, flag as CRITICAL issue. Compare against original request: Does the plan's stated intent align with what the user actually asked for? Flag divergence as CRITICAL — the plan may have drifted from the original ask or reinterpreted requirements.

- Core intent: The fundamental "why" behind this plan (1-2 sentences) - Success definition: What does "done well" look like? - Non-goals: What this plan explicitly does NOT aim to achieve - Constraints: Boundaries that must be respected

  1. Parse plan structure: Extract from the plan file:

- Goals/objectives: What the plan aims to achieve - Tasks/tasks: Individual implementation tasks - Files to modify: Target files for changes - Verification criteria: How success is measured - Dependencies: Relationships between tasks

  1. Build task dependency graph: Analyse task dependencies:

- Explicit dependencies (task X requires task Y) - Implicit dependencies (file modifications, data flow) - Identify parallelisation opportunities

Phase 1: Parallel Review Agents

Launch specialised review agents based on mode. Load the appropriate agent prompts sub-document:

  • Quick mode: Read .rulesync/skills/plan-review/agent-prompts-quick.md
  • Thorough mode: Read .rulesync/skills/plan-review/agent-prompts-thorough.md

Include the Discovered Work Protocol from .rulesync/skills/plan-review/discovered-work.md in all sub-agent prompts.

Quick Mode (3-4 agents)

┌─────────────────────────────────────────────────────────────┐
│                    QUICK MODE AGENTS                         │
├─────────────────────────────────────────────────────────────┤
│ 1. Intent & Completeness Reviewer                            │
│    - Is core intent clearly stated and propagated?          │
│    - Does plan intent match the original request intent?    │
│    - Are all original requirements covered by plan tasks?   │
│    - Edge cases: What could go wrong?                       │
├─────────────────────────────────────────────────────────────┤
│ 2. Verification Reviewer                                     │
│    - Testability: Can each task be verified?                │
│    - Success criteria: Are they measurable?                 │
│    - Evidence: How will completion be demonstrated?         │
├─────────────────────────────────────────────────────────────┤
│ 3. Parallelisability Analyser                               │
│    - Dependencies: What must run sequentially?              │
│    - Concurrency: What can run in parallel?                 │
│    - Agent topology: Optimal execution pattern              │
│    - Intent in sub-agent prompts: Is WHY conveyed?          │
├─────────────────────────────────────────────────────────────┤
│ 4. Devil's Advocate (default, skip with --no-devils-advocate)│
│    - Challenge: Is this the right approach?                 │
│    - Assumptions: What if key assumptions are wrong?        │
│    - Necessity: Could tasks be removed or deferred?         │
│    - Adversary: What is the most likely point of failure?   │
└─────────────────────────────────────────────────────────────┘

Thorough Mode (6-8 agents)

┌─────────────────────────────────────────────────────────────┐
│                   THOROUGH MODE AGENTS                       │
├─────────────────────────────────────────────────────────────┤
│ 1. Intent Reviewer (CRITICAL - runs first)                   │
│ 2. Completeness & Specification Coverage Reviewer            │
│ 3. Technical Reviewer                                        │
│ 4. Verification Reviewer                                     │
│ 5. Risk Reviewer                                             │
│ 6. Parallelisability Analyser                               │
│ 7. Devil's Advocate (default, skip with --no-devils-advocate)│
│ 8. External Reviewer (optional, --external flag)            │
└─────────────────────────────────────────────────────────────┘

Phase 2: Agentic Execution Analysis

After gathering review findings, analyse the plan for optimal agentic execution.

Agentic Patterns to Assess

PatternDescriptionWhen to Recommend
Simple ExecutionMain agent executes directlySimple, low-risk tasks
Sub-agent DelegationLaunch dedicated sub-agentComplex tasks requiring focus
Sub-agent + VerifyImplementation + verification agentTasks with testable outcomes
Iterate-until-verifiedLoop: implement → verify → fixTasks with clear success criteria
Parallel Fan-outLaunch N agents for independent workTasks with no dependencies
Orchestrated PipelineChained agents with handoffsSequential dependent tasks
Tree ExecutionParent spawns children, aggregatesDivide-and-conquer tasks

Dependency Detection

Analyse for:

  1. File-level dependencies: Does task B modify files created by task A?
  2. Data-flow dependencies: Does task B need outputs from task A?
  3. Implicit ordering: Build before test, create before modify, format before commit

Phase 3: Synthesis

Load .rulesync/skills/plan-review/output-format.md for the report template.

Aggregate findings from all review agents:

  1. Categorise by severity: Critical / Important / Minor
  2. Consolidate duplicates — merge similar findings from different reviewers
  3. Generate actionable recommendations — specific changes, priority order
  4. Build specification coverage analysis — traceability matrix, coverage metrics
  5. Aggregate discovered tasks — call TaskList, triage, include in report

Phase 4: Interactive Resolution (Optional)

If issues found, present to user for iterative refinement.


Devil's Advocate Mode (Default)

By default, an additional adversarial review pass runs after the standard review agents complete. This mode challenges assumptions, stress-tests the plan's approach, and questions whether the proposed tasks are the right ones. Pass --no-devils-advocate to skip it.

Workflow

  1. Run the standard review agents first. Complete Phase 1 (parallel review agents) and collect all findings.
  2. Spawn a sub-agent with the Devil's Advocate instructions. Use the Agent tool to spawn a sub-agent with:

- The full instructions from agents/devils-advocate.md. - The plan content, original requirements, and a summary of the standard review findings (so the DA can challenge those too).

  1. Merge findings from both passes.

- Combine standard review findings with Devil's Advocate findings (prefixed with [DA]). - Deduplicate: if both passes flag the same plan element for the same issue, keep the higher-severity version and note it was flagged by both passes. - Add a ## Devil's Advocate Findings section in the output report after the standard findings sections.

  1. Update the assessment. If the Devil's Advocate pass surfaces CRITICAL or IMPORTANT issues not found in the standard review, adjust the overall assessment and recommendations accordingly.

Usage Examples

# Thorough review (default)
/plan-review

# Quick review for faster feedback
/plan-review --quick

# Explicit plan file
/plan-review path/to/plan.md

# Include external tools if available
/plan-review --external

Integration with Other Commands

  • Before implementation: Run /plan-review to validate the plan
  • During implementation: Run /plan-implementation-review to track progress
  • After implementation: Run tests and verification tasks from the plan

Cache Location

Review results are cached for resumability:

node_modules/.cache/plan-reviews/
├── {plan-name}-{timestamp}.json    # Raw agent findings
├── {plan-name}-report.md           # Generated report
└── metadata.json                   # Review session metadata

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

36.69%
按下载量换算49

Claude

28.22%
按下载量换算38

Cursor

18.08%
按下载量换算24

Gemini CLI

8.47%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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