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Agent Skill · 研究检索

analyze(分析)

analyze 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。

analyze 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,权限为只读;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 40,130。

总安装 1,322周安装 54GitHub Stars 26,767下载 428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:analyze(分析)
来源仓库:https://github.com/yeachan-heo/oh-my-codex
仓库路径:skills/analyze
安装命令:
npx skills add https://github.com/yeachan-heo/oh-my-codex --skill analyze
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/yeachan-heo/oh-my-codex --skill analyze

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。analyze 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。

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。注意是否会触发联网、命令执行或文件读写。

来源仓库内路径:skills/analyze

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/yeachan-heo/oh-my-codex --skill analyze;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

analyze 怎么安装?

在终端执行 npx skills add https://github.com/yeachan-heo/oh-my-codex --skill analyze。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyze 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。

analyze 需要什么权限?

权限级别是只读。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。

analyze 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。

analyze 用的人多吗?

公开数据是累计安装 1,322 次,近一周安装 54 次,下载 428 次,GitHub 26,767 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。

analyze 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。
  • 来源仓库有 26,767 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
analyze

分析 · 本页

1,32226,767只读未明确通过

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

Analyze — Read-Only Deep Analysis

Use this skill to answer the user’s question through read-only repository analysis. The goal is to explain what the codebase most likely says about the question, not to drift into implementation, debugging theater, or generic fix planning.

Use $analyze when

  • the user wants a grounded explanation, not code changes
  • the answer requires reading multiple files or tracing behavior across boundaries
  • there are several plausible explanations and they need to be ranked
  • confidence should reflect the strength of the available evidence
  • the user wants to understand architecture, behavior, causality, impact, or tradeoffs before changing anything

Examples:

  • why a workflow behaves a certain way
  • how a feature is wired across modules
  • what likely explains a failure, regression, or mismatch
  • what would be impacted by changing a dependency or contract
  • which interpretation of the current codebase is best supported

Do not use $analyze when

  • the user explicitly wants code edits, a fix, or execution — use the appropriate implementation lane instead
  • the user wants a new product plan or acceptance criteria — use $plan / $ralplan
  • the request is a simple one-file fact lookup — read the file and answer directly
  • the request is purely about running the OMX tmux team runtime — use $team only when OMX runtime is active

Non-negotiable contract

Analyze is read-only by contract.

  • Do not edit files.
  • Do not turn the answer into an implementation plan.
  • Do not recommend fixes as the primary output.
  • Do not silently switch into execution work.
  • Do not overclaim certainty.
  • Do not invent facts that are not supported by repository evidence.
  • Do not use judgmental, normative, or speculative language that outruns the evidence.

If a next step is helpful, keep it to a discriminating read-only probe that would reduce uncertainty.

Question-aligned synthesis

Answer the user’s actual question first.

  • Start from the asked question, not a generic debugger template.
  • Keep the synthesis scoped to what the user needs to know.
  • Scale the depth to the request: for simple or obvious questions, reduce swarm intensity and answer directly after enough reading.
  • For broader questions, expand the search surface but keep the final answer tightly synthesized.

Evidence rules

Maintain an explicit evidence-vs-inference distinction. Every material claim must be labeled as one of:

  1. Evidence — directly supported by concrete repository artifacts
  2. Inference — a reasoned conclusion drawn from evidence
  3. Unknown — a question the current repository evidence does not resolve

Never present an inference as if it were direct evidence. Never present a guess as if it were an inference. Call out uncertainty explicitly when the codebase does not settle the question.

Acceptable evidence

Prefer stronger evidence over weaker evidence:

  1. direct code paths, contracts, tests, generated artifacts, configs, or docs with concrete file references
  2. multiple independent files pointing to the same conclusion
  3. localized behavioral inference from well-supported code structure
  4. weaker contextual clues that remain explicitly marked as tentative

Unsupported speculation is not evidence.

Parallel exploration policy

Parallel exploration is allowed when it improves quality, but it must stay runtime-safe.

  • Default to direct read-only analysis when the answer is simple.
  • When parallelism helps, prefer native subagents by default or equivalent in-session parallel exploration when available.
  • Keep parallel lanes bounded: each lane should answer a concrete sub-question or inspect a specific subsystem.
  • Use $team only when OMX runtime is active and durable tmux-based coordination is actually needed.
  • Do not imply that $team is available in plain Codex/App sessions.

A good default split for complex analysis is:

  • one lane for primary code path / contracts
  • one lane for config / orchestration / generated surfaces
  • one lane for tests / docs / secondary corroboration

Execution policy

  • Default to concise, evidence-dense progress and completion reporting unless the user or risk level requires more detail.
  • Treat newer user task updates as local overrides for the active workflow branch while preserving earlier non-conflicting constraints.
  • If the user says continue, keep working from the current analysis state instead of restarting discovery.

Working method

  1. Restate the question in one sentence.
  2. Identify the smallest set of files most likely to answer it.
  3. Read for direct evidence first.
  4. If needed, open bounded parallel exploration lanes.
  5. Compare competing explanations.
  6. Rank the explanations by support.
  7. Return a synthesis that clearly separates evidence from inference.

Output contract

Structure the answer so the user can see what is known, what is inferred, and how confident the synthesis is.

Question

[Restate the user’s question briefly]

Ranked synthesis

RankExplanationConfidenceBasis
1...High / Medium / Lowstrongest supporting evidence
2...High / Medium / Lowwhy it trails
3...High / Medium / Lowwhy it remains possible

Evidence

  • path/to/file:line-line — what this artifact directly shows
  • path/to/file:line-line — corroborating evidence

Inference

  • What the evidence most strongly implies
  • Why weaker alternatives were down-ranked

Unknowns / limits

  • What the repository evidence does not establish
  • What would need to be checked next to reduce uncertainty

Quality bar

A good analyze response is:

  • read-only and question-aligned
  • ranked rather than flat
  • explicit about confidence
  • concrete about file references
  • careful about evidence vs inference
  • free of unsupported speculation
  • free of normative drift or judgmental filler
  • explicit about the evidence-vs-inference distinction
  • concise for simple cases, broader only when the question truly needs it

Task: {{ARGUMENTS}}

平台分布

Codex

36.38%
按下载量换算156

Claude

31.93%
按下载量换算137

Cursor

17.32%
按下载量换算74

Gemini CLI

8.89%
按下载量换算38

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。目前只有一个公开来源,建议同时核对源仓库。

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