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Agent Skill · 研究检索

plan-eng-review(计划工程审查)

plan-eng-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。

plan-eng-review 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,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 53,815。

总安装 523周安装 22GitHub Stars 公开资料未说明下载 183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:plan-eng-review(计划工程审查)
来源仓库:https://github.com/topshark-jim/gstack
仓库路径:skills/plan-eng-review
安装命令:
npx skills add https://github.com/topshark-jim/gstack --skill plan-eng-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/topshark-jim/gstack --skill plan-eng-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。

用于查找、检索和筛选相关信息,支持关键词匹配与任务场景适配。适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装使用。安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

plan-eng-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/plan-eng-review

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/topshark-jim/gstack --skill plan-eng-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

    它需要需要联网,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

plan-eng-review 怎么安装?

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

plan-eng-review 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。

plan-eng-review 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

plan-eng-review 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。

plan-eng-review 用的人多吗?

公开数据是累计安装 523 次,近一周安装 22 次,下载 183 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。

plan-eng-review 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 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。
  • 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
plan-eng-review

计划工程审查 · 本页

523—需要联网未明确通过

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

Runtime Notes

  • Ask the user directly when the workflow says to stop for input.
  • Treat AGENTS.md, TODO.md, and TODOS.md as the likely sources of repo-local instructions.
  • Keep the workflow intent intact, but translate any environment-specific wording to the current toolset.

Plan Review Mode

Review this plan thoroughly before making any code changes. For every issue or recommendation, explain the concrete tradeoffs, give me an opinionated recommendation, and ask for my input before assuming a direction.

Priority hierarchy

If you are running low on context or the user asks you to compress: Step 0 > Test diagram > Opinionated recommendations > Everything else. Never skip Step 0 or the test diagram.

My engineering preferences (use these to guide your recommendations):

  • DRY is important—flag repetition aggressively.
  • Well-tested code is non-negotiable; I'd rather have too many tests than too few.
  • I want code that's "engineered enough" — not under-engineered (fragile, hacky) and not over-engineered (premature abstraction, unnecessary complexity).
  • I err on the side of handling more edge cases, not fewer; thoughtfulness > speed.
  • Bias toward explicit over clever.
  • Minimal diff: achieve the goal with the fewest new abstractions and files touched.

Documentation and diagrams:

  • I value ASCII art diagrams highly — for data flow, state machines, dependency graphs, processing pipelines, and decision trees. Use them liberally in plans and design docs.
  • For particularly complex designs or behaviors, embed ASCII diagrams directly in code comments in the appropriate places: Models (data relationships, state transitions), Controllers (request flow), Concerns (mixin behavior), Services (processing pipelines), and Tests (what's being set up and why) when the test structure is non-obvious.
  • Diagram maintenance is part of the change. When modifying code that has ASCII diagrams in comments nearby, review whether those diagrams are still accurate. Update them as part of the same commit. Stale diagrams are worse than no diagrams — they actively mislead. Flag any stale diagrams you encounter during review even if they're outside the immediate scope of the change.

BEFORE YOU START:

Step 0: Scope Challenge

Before reviewing anything, answer these questions:

  1. What existing code already partially or fully solves each sub-problem? Can we capture outputs from existing flows rather than building parallel ones?
  2. What is the minimum set of changes that achieves the stated goal? Flag any work that could be deferred without blocking the core objective. Be ruthless about scope creep.
  3. Complexity check: If the plan touches more than 8 files or introduces more than 2 new classes/services, treat that as a smell and challenge whether the same goal can be achieved with fewer moving parts.

Then ask if I want one of three options:

  1. SCOPE REDUCTION: The plan is overbuilt. Propose a minimal version that achieves the core goal, then review that.
  2. BIG CHANGE: Work through interactively, one section at a time (Architecture → Code Quality → Tests → Performance) with at most 8 top issues per section.
  3. SMALL CHANGE: Compressed review — Step 0 + one combined pass covering all 4 sections. For each section, pick the single most important issue (think hard — this forces you to prioritize). Present as a single numbered list with lettered options + mandatory test diagram + completion summary. one direct question round at the end. For each issue in the batch, state your recommendation and explain WHY, with lettered options.

Critical: If I do not select SCOPE REDUCTION, respect that decision fully. Your job becomes making the plan I chose succeed, not continuing to lobby for a smaller plan. Raise scope concerns once in Step 0 — after that, commit to my chosen scope and optimize within it. Do not silently reduce scope, skip planned components, or re-argue for less work during later review sections.

Review Sections (after scope is agreed)

1. Architecture review

Evaluate:

  • Overall system design and component boundaries.
  • Dependency graph and coupling concerns.
  • Data flow patterns and potential bottlenecks.
  • Scaling characteristics and single points of failure.
  • Security architecture (auth, data access, API boundaries).
  • Whether key flows deserve ASCII diagrams in the plan or in code comments.
  • For each new codepath or integration point, describe one realistic production failure scenario and whether the plan accounts for it.

STOP. For each issue found in this section, ask the user directly, one issue at a time. One issue per call. Present options, state your recommendation, explain WHY. Do NOT batch multiple issues into one direct user question. Only proceed to the next section after ALL issues in this section are resolved.

2. Code quality review

Evaluate:

  • Code organization and module structure.
  • DRY violations—be aggressive here.
  • Error handling patterns and missing edge cases (call these out explicitly).
  • Technical debt hotspots.
  • Areas that are over-engineered or under-engineered relative to my preferences.
  • Existing ASCII diagrams in touched files — are they still accurate after this change?

STOP. For each issue found in this section, ask the user directly, one issue at a time. One issue per call. Present options, state your recommendation, explain WHY. Do NOT batch multiple issues into one direct user question. Only proceed to the next section after ALL issues in this section are resolved.

3. Test review

Make a diagram of all new UX, new data flow, new codepaths, and new branching if statements or outcomes. For each, note what is new about the features discussed in this branch and plan. Then, for each new item in the diagram, make sure there is a JS or Rails test.

For LLM/prompt changes: check AGENTS.md or nearby repo instructions for the prompt/eval file patterns. If this plan touches ANY of those patterns, state which eval suites must be run, which cases should be added, and what baselines to compare against. Then ask the user directly to confirm the eval scope with the user.

STOP. For each issue found in this section, ask the user directly, one issue at a time. One issue per call. Present options, state your recommendation, explain WHY. Do NOT batch multiple issues into one direct user question. Only proceed to the next section after ALL issues in this section are resolved.

4. Performance review

Evaluate:

  • N+1 queries and database access patterns.
  • Memory-usage concerns.
  • Caching opportunities.
  • Slow or high-complexity code paths.

STOP. For each issue found in this section, ask the user directly, one issue at a time. One issue per call. Present options, state your recommendation, explain WHY. Do NOT batch multiple issues into one direct user question. Only proceed to the next section after ALL issues in this section are resolved.

CRITICAL RULE — How to ask questions

Every direct user question must: (1) present 2-3 concrete lettered options, (2) state which option you recommend FIRST, (3) explain in 1-2 sentences WHY that option over the others, mapping to engineering preferences. No batching multiple issues into one question. No yes/no questions. Open-ended questions are allowed ONLY when you have genuine ambiguity about developer intent, architecture direction, 12-month goals, or what the end user wants — and you must explain what specifically is ambiguous. Exception: SMALL CHANGE mode intentionally batches one issue per section into a single direct user question at the end — but each issue in that batch still requires its own recommendation + WHY + lettered options.

For each issue you find

For every specific issue (bug, smell, design concern, or risk):

  • One issue = one direct user question. Never combine multiple issues into one question.
  • Describe the problem concretely, with file and line references.
  • Present 2–3 options, including "do nothing" where that's reasonable.
  • For each option, specify in one line: effort, risk, and maintenance burden.
  • Lead with your recommendation. State it as a directive: "Do B. Here's why:" — not "Option B might be worth considering." Be opinionated. I'm paying for your judgment, not a menu.
  • Map the reasoning to my engineering preferences above. One sentence connecting your recommendation to a specific preference (DRY, explicit > clever, minimal diff, etc.).
  • Question format: Start with "We recommend [LETTER]: [one-line reason]" then list all options as A)... B)... C).... Label with issue NUMBER + option LETTER (e.g., "3A", "3B").
  • Escape hatch: If a section has no issues, say so and move on. If an issue has an obvious fix with no real alternatives, state what you'll do and move on — don't waste a question on it. Only use direct user question when there is a genuine decision with meaningful tradeoffs.

Required outputs

"NOT in scope" section

Every plan review MUST produce a "NOT in scope" section listing work that was considered and explicitly deferred, with a one-line rationale for each item.

"What already exists" section

List existing code/flows that already partially solve sub-problems in this plan, and whether the plan reuses them or unnecessarily rebuilds them.

TODO.md updates

After all review sections are complete, present each potential TODO as its own individual direct user question. Never batch TODOs — one per question. Never silently skip this step.

For each TODO, describe:

  • What: One-line description of the work.
  • Why: The concrete problem it solves or value it unlocks.
  • Pros: What you gain by doing this work.
  • Cons: Cost, complexity, or risks of doing it.
  • Context: Enough detail that someone picking this up in 3 months understands the motivation, the current state, and where to start.
  • Depends on / blocked by: Any prerequisites or ordering constraints.

Then present options: A) Add to TODO.md B) Skip — not valuable enough C) Build it now in this PR instead of deferring.

Do NOT just append vague bullet points. A TODO without context is worse than no TODO — it creates false confidence that the idea was captured while actually losing the reasoning.

Diagrams

The plan itself should use ASCII diagrams for any non-trivial data flow, state machine, or processing pipeline. Additionally, identify which files in the implementation should get inline ASCII diagram comments — particularly Models with complex state transitions, Services with multi-step pipelines, and Concerns with non-obvious mixin behavior.

Failure modes

For each new codepath identified in the test review diagram, list one realistic way it could fail in production (timeout, nil reference, race condition, stale data, etc.) and whether:

  1. A test covers that failure
  2. Error handling exists for it
  3. The user would see a clear error or a silent failure

If any failure mode has no test AND no error handling AND would be silent, flag it as a critical gap.

Completion summary

At the end of the review, fill in and display this summary so the user can see all findings at a glance:

  • Step 0: Scope Challenge (user chose: ___)
  • Architecture Review: ___ issues found
  • Code Quality Review: ___ issues found
  • Test Review: diagram produced, ___ gaps identified
  • Performance Review: ___ issues found
  • NOT in scope: written
  • What already exists: written
  • TODO.md updates: ___ items proposed to user
  • Failure modes: ___ critical gaps flagged

Retrospective learning

Check the git log for this branch. If there are prior commits suggesting a previous review cycle (e.g., review-driven refactors, reverted changes), note what was changed and whether the current plan touches the same areas. Be more aggressive reviewing areas that were previously problematic.

Formatting rules

  • NUMBER issues (1, 2, 3...) and give LETTERS for options (A, B, C...).
  • When asking the user directly, label each option with issue NUMBER and option LETTER so I don't get confused.
  • Recommended option is always listed first.
  • Keep each option to one sentence max. I should be able to pick in under 5 seconds.
  • After each review section, pause and ask for feedback before moving on.

Unresolved decisions

If the user does not respond to a direct user question or interrupts to move on, note which decisions were left unresolved. At the end of the review, list these as "Unresolved decisions that may bite you later" — never silently default to an option.

平台分布

Codex

33.72%
按下载量换算62

Claude

30.88%
按下载量换算57

Cursor

17.81%
按下载量换算33

Gemini CLI

8.52%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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