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Agent Skill · 研究检索

normalize-agent-for-claude(normalize Agent FOR Claude 搜索)

normalize-agent-for-claude 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。

normalize-agent-for-claude 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,权限为执行命令;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 54,843。

总安装 494周安装 21GitHub Stars 公开资料未说明下载 173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:normalize-agent-for-claude(normalize Agent FOR Claude 搜索)
来源仓库:https://github.com/ulpi-io/skills
仓库路径:skills/normalize-agent-for-claude
安装命令:
npx skills add https://github.com/ulpi-io/skills --skill normalize-agent-for-claude
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/ulpi-io/skills --skill normalize-agent-for-claude

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。

normalize-agent-for-claude 用于查找、检索和筛选相关信息,适合 Agent 标准化支持任务。适用于 Codex、Claude、Cursor 和 Gemini CLI,支持基于关键词快速定位相关内容。可通过 GitHub 仓库和原始 README 继续核验具体实现细节。

安装前应确认权限范围和维护状态,避免误触发操作。建议在低风险任务中先行测试,确保不影响整体流程。

来源仓库内路径:skills/normalize-agent-for-claude

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/ulpi-io/skills --skill normalize-agent-for-cla…;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

    它需要执行命令,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

normalize-agent-for-claude 怎么安装?

在终端执行 npx skills add https://github.com/ulpi-io/skills --skill normalize-agent-for-claude。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

normalize-agent-for-claude 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。

normalize-agent-for-claude 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/ulpi-io/skills --skill normalize-agent-for-claude 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

normalize-agent-for-claude 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。

normalize-agent-for-claude 用的人多吗?

公开数据是累计安装 494 次,近一周安装 21 次,下载 173 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。

normalize-agent-for-claude 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
normalize-agent-for-claude

normalize Agent FOR Claude 搜索 · 本页

494—执行命令未明确通过

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

Non-negotiable rules:

  1. Read references/claude-agent-runtime.md before planning or rewriting.
  2. Default to --mode plan unless the user explicitly asks for rewrite now.
  3. Keep the body lean because the full markdown body becomes the agent system prompt.
  4. Use frontmatter for runtime controls before adding more prose.
  5. Never preload large skills into agent frontmatter unless they have already been slimmed and justified.
  6. Never add skill-only frontmatter to an agent. allowed-tools, argument-hint, arguments, when_to_use, disable-model-invocation, user-invocable, context, agent, shell, and paths belong to skills, not agents.

Normalize Agent For Claude

Inputs

  • $target: Agent directory or direct path to AGENT.md
  • $mode: Optional. plan or rewrite. Default: plan

Goal

Produce a Claude Code optimized agent that carries role identity and constraints cleanly, uses frontmatter intentionally, and avoids wasting prompt budget on procedural bulk that belongs in skills or shared rules.

Step 1: Resolve the target

  1. Accept either an agent directory or a direct AGENT.md path.
  2. Normalize to the agent root and confirm AGENT.md exists.
  3. Determine mode:

- --mode rewrite means plan first, then rewrite in the same run - missing mode means plan

  1. Inventory the current agent:

- line count of AGENT.md - existing frontmatter fields - section map of the body - obvious duplicated global policy or giant knowledge catalogs

Success criteria: You know the exact target agent, target mode, and the current prompt-shape risks.

Step 2: Load the Claude Code agent runtime anchors

Read references/claude-agent-runtime.md fully before making any recommendation.

Extract these constraints from the reference:

  • agent description becomes whenToUse
  • the whole markdown body becomes the system prompt
  • Claude supports richer agent frontmatter than most custom agents use
  • agent skills: preloads full skill content
  • tool allow and deny lists are enforced at runtime
  • repo-wide project rules already have a separate instruction hierarchy
  • agent rewrites must use agent-native frontmatter only, not skill-native headers

If this repository contains claude-code-source/, use the exact source files named in the reference to verify unusual frontmatter or isolation decisions.

Success criteria: Every planned change is backed by specific Claude runtime behavior.

Step 3: Audit the current agent against Claude's runtime

Evaluate the target agent using this checklist:

  1. Identity vs procedure

- What content is true role identity? (role definition, expertise bullets, decision heuristics, domain knowledge, traits) - What content is actually workflow and should live in skills? (step-by-step procedures, shell commands, templates, checklists) - Role-specific expertise lists and decision heuristics are IDENTITY — they stay in the body. Only move *procedure* into skills or references.

  1. Prompt mass

- Which large sections exist only because the current agent is compensating for missing skills or shared rules?

  1. Frontmatter opportunities

- Would disallowedTools, skills, initialPrompt, hooks, permissionMode, maxTurns, background, memory, or isolation improve runtime behavior? - Are there any skill-only headers that must be removed or explicitly avoided?

  1. Tool surface

- Is the tool list broader than the role actually needs?

  1. Skill preload risk

- Would adding a skill to frontmatter create prompt bloat because the skill is still too large?

  1. Instruction duplication

- Are repo-wide rules duplicated here even though Claude already loads project memory separately?

Classify each issue:

  • PROMPT: body is too large or carries the wrong content
  • RUNTIME: missing or misused Claude frontmatter
  • TOOLS: tool exposure is too broad or too vague
  • DUPLICATION: project policy is duplicated in agent body
  • EXTRACTION: content should move into skills or references

Success criteria: You have a concrete, source-backed explanation of what should stay, move, or shrink.

Step 4: Write the per-agent DAG plan

Create both of these artifacts:

  • .ulpi/plans/agents/<agent-name>-normalize-for-claude.md
  • .ulpi/plans/agents/<agent-name>-normalize-for-claude.json

The plan must include:

  1. Current state

- line count - current frontmatter - oversized sections - duplicated global policy

  1. Claude runtime findings

- each finding mapped to source references from references/claude-agent-runtime.md

  1. Target state

- final frontmatter shape - body sections to keep, delete, or move - skills or references the agent should depend on instead

  1. DAG tasks

- frontmatter rewrite - prompt-body reduction - procedure extraction into skills or references - tool-surface tightening - validation

  1. Guardrails

- what identity must stay - what must move out - what must not be preloaded

  1. Validation

- concrete checks to confirm the final agent is structurally sound

Each DAG task should include:

  • id
  • title
  • rationale
  • filesToModify
  • filesToCreate
  • dependencies
  • validation

Success criteria: The markdown and JSON plans describe the same safe sequence of work.

Step 5: Rewrite only if requested

If mode is plan, stop after writing the DAG artifacts.

If mode is rewrite:

  1. Rewrite the frontmatter first.
  2. Reduce the body to:

- role and expertise (specific domain knowledge and capability claims) - scope - decision heuristics (how to choose between approaches) - failure boundaries - output contract - brief skill handoff guidance

  1. Move repeated procedures and large examples out of the agent. Keep role expertise bullets and decision heuristics — these are identity, not procedure.
  2. Add Claude-native frontmatter only when it changes runtime behavior materially.
  3. Keep the result role-specific, not generic.

Preferred rewrite outcomes:

  • agent description becomes a strong whenToUse
  • body becomes much smaller and more identity-focused
  • disallowedTools and tighter tools are used where appropriate
  • skills: is used sparingly and only for already-slim skills
  • duplicated project rules are removed from the body
  • no skill-only headers are introduced into the rewritten agent

Success criteria: The rewritten agent is thinner, more precise, and better aligned to Claude's runtime model.

Step 6: Validate the result

After planning or rewriting:

  1. Re-read the final AGENT.md.
  2. Confirm the frontmatter reflects real runtime decisions.
  3. Confirm the body is mostly identity, scope, heuristics, and boundaries.
  4. Confirm no skill-only headers were introduced.
  5. Confirm large procedure blocks are gone or explicitly moved.
  6. Confirm the summary names the Claude source anchors that drove the major changes.

Success criteria: The output can be used immediately without re-interpreting why the structure changed.

Output Contract

Always report:

  1. Agent: target path and normalized root
  2. Mode: plan or rewrite
  3. Top runtime issues: the highest-value Claude mismatches
  4. Artifacts: exact plan or rewritten file paths
  5. Guardrails applied: 3 to 5 bullets tied to Claude runtime behavior

If rewrite mode was used, also report:

  • which sections were removed or moved
  • which frontmatter fields were added, removed, or intentionally omitted

平台分布

Codex

36.44%
按下载量换算63

Claude

28.1%
按下载量换算49

Cursor

18.85%
按下载量换算33

Gemini CLI

8.49%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ulpi-io/skills --skill normalize-agent-for-claude 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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