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Agent Skill · 研究检索

em%3areview(em%3 正在查看)

em%3areview 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。

em%3areview 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为可写文件;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 62,939。

总安装 324周安装 13GitHub Stars 公开资料未说明下载 105核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:em%3areview(em%3 正在查看)
来源仓库:https://github.com/cloudvoyant/codevoyant
仓库路径:skills/em%3Areview
安装命令:
npx skills add https://github.com/cloudvoyant/codevoyant --skill em: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/cloudvoyant/codevoyant --skill em:review

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

em%3areview 审查工程路线图或史诗级计划,评估容量合理性、依赖缺口和风险点。分析里程碑质量和阶段划分逻辑,提出优化建议和资源调整方案。接受 plan 目录路径或默认最近修改项作为输入源。安装前需确保 Task 工具可用以实现并行步骤执行。注意:重点识别隐藏假设和未声明的依赖关系,防止后期返工。

来源仓库内路径:skills/em%3Areview

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/cloudvoyant/codevoyant --skill em:review;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要可写文件,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

em%3areview 怎么安装?

在终端执行 npx skills add https://github.com/cloudvoyant/codevoyant --skill em:review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

em%3areview 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

em%3areview 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

em%3areview 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

em%3areview 用的人多吗?

公开数据是累计安装 324 次,近一周安装 13 次,下载 105 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

em%3areview 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
em%3areview

em%3 正在查看 · 本页

324—可写文件未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Compatibility: If AskUserQuestion is unavailable, present options as a numbered list and wait for the user's reply. If Task is unavailable, run parallel steps sequentially. The context: fork and agent: frontmatter fields are Claude Code-specific — on OpenCode and VS Code Copilot they are ignored and the skill runs inline using the current model.

Review an engineering roadmap or epic plan for capacity realism, dependency gaps, missing risks, and phasing quality.

Step 0: Parse Args

Accept either a plan dir path (.codevoyant/plans/{slug}) or default to the most recently modified plan dir under .codevoyant/plans/.

Extract --silent flag.

Set PLAN_DIR accordingly. Verify {PLAN_DIR}/roadmap.md exists — if not, report error and exit.

Step 1: Read All Plan Artifacts

Read all plan artifacts and build a unified picture of total scope vs. stated capacity:

  • {PLAN_DIR}/roadmap.md — phases, capacity, risks, architecture sections
  • Every file in {PLAN_DIR}/breakdowns/ — epic sub-tasks and estimates

Note the team size, time horizon, and total estimated effort from the roadmap.

Step 2: Parallel Review Checks

Run four review agents in parallel (model: claude-haiku-4-5-20251001, run_in_background: true):

Agent R1 — Capacity & Failure Modes

Does the total scope fit the stated team size and time horizon? Flag over-allocation (>80% utilization leaves no buffer). Look for months with no slack.

Build an Error & Rescue Registry check: for each epic, identify the top 3 failure scenarios, state what the rescue action is, and verify whether it is documented in the breakdowns. Output a table:

EpicFailure scenarioRescue actionDocumented?

Flag any epic where failure scenarios are undocumented or rescue actions are "TBD".

Agent R2 — Dependencies + One-Way/Two-Way Audit

Are all inter-epic and external dependencies called out? Are any dependencies ordering-violated (epic A needs B but B is later)? Are external dependencies (other teams, services) flagged with owners?

Classify each major inter-epic architectural decision as:

  • ONE-WAY (!) — hard to reverse; flag if rationale is missing or weak
  • TWO-WAY — can change later; note for completeness

Output a decisions table alongside the standard dependency findings.

Agent R3 — Risk Assessment

Are risks specific and actionable (not just "this is risky")? Missing risk callouts for: new tech, unclear requirements, single points of failure, external dependencies.

For each risk found, score Completeness: X/10 — is the mitigation complete and concrete (10) or hand-wavy and vague (1)? Flag any risk with Completeness < 6 as needing revision.

  • Each risk mitigation must cite what evidence informs it (file, system name, prior incident). Mitigations with no evidence anchor score a maximum of 6/10 regardless of prose quality.
  • Vague quantifiers ("many tasks", "several risks") in risk descriptions: flag INFORMATIONAL and suggest a specific count.

Agent R4 — Phasing Quality + "What Already Exists" Check

Does each phase have a clear theme? Are deliverables concrete (can you tell if a phase is done)? Is the NOT-this-period list present and justified?

Run a "What already exists" check: scan the codebase context and breakdowns for any epic that appears to be rebuilding something the codebase already has. Flag with [BORING-BY-DEFAULT FLAG] if found.

  • Objective in plan.md: does it describe user/business impact (outcome) or feature delivery (output)? Flag any bullet containing "ship", "build", "implement", "deliver", "complete" as the primary verb with suggestion: "Reframe as the outcome this delivers, e.g. 'engineers can deploy without manual steps' not 'build deployment automation'."

Wait for all four agents (TaskOutput block: true). Synthesize findings.

Step 2.5: Fix-First Classification

Before presenting anything to the user, categorize all findings:

AUTO-FIX (perform immediately without asking)

  • Missing breakdown file for a listed epic -> create a skeleton {PLAN_DIR}/breakdowns/{epic-slug}.md with section headings and TBD placeholders
  • Phase with no theme -> derive a one-sentence theme from the phase's deliverables and insert it
  • Empty risk section in roadmap -> populate from R3 findings (insert the flagged risks directly)

ASK (surface to user via AskUserQuestion before acting)

Triggers:

  • Capacity over-allocation (>80% utilization)
  • One-way door decisions without documented rationale
  • Major scope overlaps between epics

For each ASK item, use the following AskUserQuestion format (mandatory):

  1. Re-ground: state the plan name, roadmap horizon, and a one-sentence context for why this item matters
  2. Simplify: explain the issue in plain language (no jargon)
  3. Recommend: state the preferred action and include Completeness: X/10 for each option
  4. Lettered options with human effort estimate and CC (Claude Code) effort estimate per option

Example format:

AskUserQuestion:
  question: "Plan: {SLUG} ({horizon}) — {one-sentence context}.
    Issue: {plain-language explanation of the problem}.
    Recommended: Option A (Completeness: 8/10)"
  options:
    - label: "A) {action} — Human: {Xh}, CC: {Yh}"
    - label: "B) {action} — Human: {Xh}, CC: {Yh}"
    - label: "C) Skip for now"

Step 3: Produce Review Report

Generate a structured review report:

## Review — {date}

### Summary

{1-3 sentence verdict: is this roadmap ready to commit to?}

### Blocking Issues

{items that must be addressed before committing}

### Concerns

{items worth discussing but not blockers}

### Looks Good

{specific things done well — anchor to actual content}

### Suggested Next Steps

{ordered list of what to do with this feedback}

Append a Review Readiness Dashboard at the end of the report:

| Section            | Status | Verdict                               |
| ------------------ | ------ | ------------------------------------- |
| Capacity           | ?/?/?  | {1-line summary}                      |
| Dependencies       | ?/?/?  | {1-line summary}                      |
| Error & Rescue     | ?/?/?  | {N epics documented / M missing}      |
| One-way door flags | ?/?/?  | {N flagged, M with missing rationale} |
| Phasing quality    | ?/?/?  | {1-line summary}                      |
| Overall            |        | Ready / Needs fixes / Blocked         |

Status legend: PASS = no issues, WARN = concerns worth noting, FAIL = blocking issue.

Step 4: Present Review Inline

Output the full review report directly in the chat as structured markdown — do not write a file. The report was generated in Step 3; display it now.

If invoked interactively (not --silent), ask:

AskUserQuestion:
  question: "What would you like to do with this review?"
  options:
    - label: "Looks good — no changes needed"
    - label: "Open the roadmap file to address issues"
    - label: "Re-run em:plan with adjustments"

Step 5: Notification

If --silent is not set, send a desktop notification:

npx @codevoyant/agent-kit notify --title "em:review complete" --message "Review complete for '{SLUG}': {N} blocking, {N} concerns"

平台分布

Codex

39.6%
按下载量换算42

Claude

29.2%
按下载量换算31

Cursor

19.08%
按下载量换算20

Gemini CLI

9.57%
按下载量换算10

安全审计

暂无安全审计结果可展示。

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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。目前只有一个公开来源,建议同时核对源仓库。

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