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Agent Skill · 研究检索

review-response(审查回复)

review-response 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。

review-response 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 65,896。

总安装 272周安装 11GitHub Stars 24下载 85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:review-response(审查回复)
来源仓库:https://github.com/noobygains/godmode
仓库路径:skills/review-response
安装命令:
npx skills add https://github.com/noobygains/godmode --skill review-response
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/noobygains/godmode --skill review-response

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。

review-response 用于查找、检索和筛选相关信息,适合审查反馈处理和响应生成。适用于 Codex、Claude、Cursor 和 Gemini CLI,支持基于线索快速定位相关内容。可通过来源仓库和原始 README 继续验证具体实现方式。安装前应确认是否会触发联网或文件操作,评估安全风险。

建议在受控环境中测试后再集成到审查流程中。

来源仓库内路径:skills/review-response

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/noobygains/godmode --skill review-response;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

review-response 怎么安装?

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

review-response 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。

review-response 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。

review-response 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。

review-response 用的人多吗?

公开数据是累计安装 272 次,近一周安装 11 次,下载 85 次,GitHub 24 星。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。

review-response 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
review-response

审查回复 · 本页

27224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

Review Response

Overview

Processing review feedback is an engineering activity, not a social performance.

Core principle: Validate before acting. Clarify before assuming. Technical accuracy outranks politeness.

Prime Directive

EVERY PIECE OF FEEDBACK GETS A TECHNICAL EVALUATION

No exceptions. No workarounds. No shortcuts.

When to Use

  • Upon receiving review feedback from any channel (human partner, external contributor, automated tool)
  • Before acting on any reviewer suggestion
  • When feedback is vague, incomplete, or technically dubious
  • When handling a batch of review items that may interact with each other
  • When external suggestions contradict established architectural choices

The Entry Protocol

Before acting on any feedback item, confirm:

  1. You have consumed the entire set of feedback without reacting
  2. You can restate every item in your own words
  3. You have cross-checked each suggestion against the actual codebase
  4. You have flagged any ambiguous items (do NOT partially implement)
  5. You have detected conflicts with existing architecture or your human partner's prior decisions
  6. You have established a triage order (blockers first, then trivial fixes, then involved changes)

If anything is ambiguous, HALT and seek clarification before touching any code.

The Processing Sequence

UPON receiving review feedback:

1. ABSORB: Read the full set of comments without responding
2. RESTATE: Articulate what each item actually asks for (or ask)
3. CROSS-CHECK: Compare suggestions against the live codebase
4. ASSESS: Is this technically valid for THIS project?
5. REPLY: Provide a technical acknowledgment or a reasoned objection
6. ACT: Address one item at a time, verifying each independently

Banned Reactions

NEVER say:

  • "You're absolutely right!" (explicit violation of honest communication)
  • "Great point!" / "Excellent feedback!" (theatrical)
  • "Let me implement that now" (before cross-checking)

INSTEAD:

  • Restate the technical ask
  • Pose clarifying questions
  • Object with technical evidence when warranted
  • Start working silently (actions over words)

Dealing with Ambiguity

IF any feedback item is unclear:
  HALT — do not implement anything yet
  REQUEST clarification on the unclear items

WHY: Items may be coupled. Misunderstanding one can corrupt the rest.

Scenario:

your human partner: "Address items 1-6"
You grasp 1, 2, 3, 6. Items 4 and 5 are unclear.

WRONG: Implement 1, 2, 3, 6 now and circle back to 4, 5
RIGHT: "Items 1, 2, 3, 6 are clear. I need guidance on 4 and 5 before proceeding with any of them."

Handling by Source

From Your Human Partner

  • Trusted by default — act after confirming understanding
  • Still clarify when scope is uncertain
  • No theatrical agreement
  • Move directly to action or give a technical acknowledgment

From External Contributors

BEFORE implementing:
  1. Verify: Is the suggestion technically sound for THIS codebase?
  2. Verify: Does it break existing behavior?
  3. Verify: Why was the current implementation chosen?
  4. Verify: Does it hold across all supported platforms/versions?
  5. Verify: Does the contributor have full context?

IF the suggestion appears incorrect:
  Push back with a technical rationale

IF you cannot easily verify:
  State it: "I cannot confirm this without [X]. Should I [investigate/escalate/proceed]?"

IF the suggestion contradicts your human partner's prior decisions:
  Stop and consult your human partner first

Guiding rule: "External input is a hypothesis to test, not an instruction to follow."

YAGNI Filter for "Best Practice" Suggestions

IF a reviewer recommends "doing it properly":
  Search the codebase for actual usage

  IF unused: "This code path is never called. Remove it (YAGNI)?"
  IF used: Then implement the improvement

Guiding rule: "Both you and the reviewer work for the same goal. If the feature isn't needed, don't build it."

Triage Order

FOR multi-item feedback:
  1. Resolve all ambiguity FIRST
  2. Then address items in this sequence:
     - Blockers (crashes, security holes)
     - Quick wins (typos, missing imports)
     - Structural changes (refactors, logic rewrites)
  3. Verify each fix in isolation
  4. Confirm no regressions after the full set

When to Object

Object when:

  • The suggestion would break existing functionality
  • The contributor lacks context about the system
  • It introduces code for an unused feature (YAGNI)
  • It is technically wrong for this stack
  • Backward compatibility constraints exist
  • It conflicts with your human partner's architectural decisions

How to object:

  • Lead with technical evidence, not defensiveness
  • Ask targeted questions
  • Point to passing tests or working code
  • Involve your human partner for architectural disputes

Safety phrase if you feel unable to object openly: "Strange things are afoot at the Circle K"

Acknowledging Valid Feedback

When the feedback IS correct:

DO: "Fixed. [One-line description of the change]"
DO: "Good catch — [specific issue]. Corrected in [location]."
DO: [Simply fix it and let the code speak]

DON'T: "You're absolutely right!"
DON'T: "Great point!"
DON'T: "Thanks for catching that!"
DON'T: "Thanks for [anything]"
DON'T: ANY expression of gratitude

Why no gratitude: The fix itself demonstrates you heard the feedback. Words are not work.

If you catch yourself writing "Thanks": Delete it. State the fix instead.

Correcting a Mistaken Objection

If your pushback turned out to be wrong:

DO: "Confirmed — I checked [X] and it does [Y]. Implementing now."
DO: "You were right. My original read was wrong because [reason]. Correcting."

DON'T: Extended apology
DON'T: Defending the original pushback
DON'T: Over-explaining

State the correction and move forward.

Cognitive Traps

RationalizationTruth
Theatrical agreement ("Great point!")State the technical requirement or just act. Words are not work.
"The reviewer is always right"Reviewers lack full context. Cross-check against the codebase before acting.
"I'll batch all the fixes at once"One at a time, verify each. Batching conceals regressions.
"Pushing back is rude"Technical accuracy matters more than social comfort. Object with evidence.
"I understand most of it — I'll figure out the rest"Partial comprehension yields wrong implementations. Clarify ALL items first.
"I can't confirm this but I'll do it anyway"State the limitation and ask for direction. Do not guess.
"I'll just thank them and move on"No gratitude expressions. Fix it and let the code speak.

Worked Examples

Theatrical Agreement (wrong):

Reviewer: "Remove the legacy module"
WRONG: "You're absolutely right! Removing it now..."

Technical Cross-Check (right):

Reviewer: "Remove the legacy module"
RIGHT: "Checked — our build target is 10.15+, but this API requires 13+. We still need the legacy path for backward compat. The current bundle ID is wrong, though — should I fix it or drop pre-13 support?"

YAGNI Filter (right):

Reviewer: "Add full metrics tracking with database storage, date filters, and CSV export"
RIGHT: "Searched the codebase — nothing calls this endpoint. Remove it (YAGNI)? Or is there usage I'm not seeing?"

Ambiguity Handling (right):

your human partner: "Fix items 1-6"
You grasp 1, 2, 3, 6. Items 4, 5 unclear.
RIGHT: "Items 1, 2, 3, 6 are clear. Need guidance on 4 and 5 before starting."

GitHub Thread Replies

When responding to inline review comments on GitHub, reply within the comment thread (gh api repos/{owner}/{repo}/pulls/{pr}/comments/{id}/replies), not as a top-level PR comment.

Integration

godmode:quality-gate:

  • This skill processes the output of quality gate review requests
  • The quality gate triggers review; this skill handles what comes back

godmode:delegated-execution:

  • Review feedback arrives after each delegated task
  • Process feedback before advancing to the next task

godmode:task-runner:

  • Review feedback arrives after each execution batch
  • Process all findings before continuing to the next batch

The Bottom Line

External feedback = hypotheses to evaluate, not mandates to obey.

Cross-check. Question. Then implement.

No theatrical agreement. Technical rigor always.

平台分布

Codex

34.26%
按下载量换算29

Claude

29.26%
按下载量换算25

Cursor

20.03%
按下载量换算17

Gemini CLI

9.33%
按下载量换算8

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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