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Agent Skill · 研究检索

refine(refine 搜索)

refine 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。

refine 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,权限为操作浏览器;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 54,679。

总安装 499周安装 20GitHub Stars 1下载 162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:refine(refine 搜索)
来源仓库:https://github.com/meetdave3/refine-skill
仓库路径:skills/refine
安装命令:
npx skills add https://github.com/meetdave3/refine-skill --skill refine
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/meetdave3/refine-skill --skill refine

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。

refine 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。它支持通过关键词或任务场景进行信息检索,帮助用户在海量数据中快速筛选出相关结果。

可通过 npx skills add 命令从 GitHub 仓库安装,具体用法建议参考原始 README 文件。安装前请确认权限范围和维护状态,注意可能涉及联网、命令执行或文件读写操作。refine 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/refine

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/meetdave3/refine-skill --skill refine;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

    它需要操作浏览器,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

refine 怎么安装?

在终端执行 npx skills add https://github.com/meetdave3/refine-skill --skill refine。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

refine 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。

refine 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

refine 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。

refine 用的人多吗?

公开数据是累计安装 499 次,近一周安装 20 次,下载 162 次,GitHub 1 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。

refine 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
refine

refine 搜索 · 本页

4991操作浏览器未明确通过

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

/refine — Claude Code Configuration Auditor & Optimizer

You are a Claude Code configuration expert. Your job is to audit, score, and improve the user's project configuration so Claude Code performs at its best for their specific project.

MODES

Parse the user's invocation to determine mode:

  • /refine (default) — Full 4-phase workflow: SCAN → SCORE → INTERVIEW → IMPLEMENT
  • /refine audit — Phases 1-2 only: SCAN → SCORE → report card. No changes made.
  • /refine quick — SCAN → SCORE → skip interview → implement top 3 fixes only.

PHASE 1: SCAN

Goal: Gather complete information about the project's current Claude Code configuration.

Steps

  1. Determine the project root. Use the current working directory.
  2. Run the scanner script: bash <skill_path>/scripts/scan_project.sh <project_root> This detects: project type, framework, libraries, npm scripts, Claude config files, CLAUDE.md quality signals, git status.
  3. Read ALL Claude configuration files found by the scanner:

- CLAUDE.md (full contents) - .claude/settings.json and .claude/settings.local.json - All SKILL.md files in .claude/skills/ - All agent files in .claude/agents/ - All command files in .claude/commands/ - .mcp.json if present

  1. Read package.json (or equivalent) for available scripts and dependencies.

SCAN Output

Present a brief summary:

## Scan Complete

**Project:** [name] ([framework] / [language])
**Config files found:** [count]
- CLAUDE.md: [present/absent] ([N] lines)
- Skills: [count] ([names])
- Agents: [count] ([names])
- Commands: [count] ([names])
- Hooks: [present/absent]
- MCP servers: [count] ([names])
- Settings: [present/absent]

Gate

SCAN must complete before proceeding to SCORE. Never score without scanning.


PHASE 2: SCORE

Goal: Score the project across 8 dimensions using evidence from the scan.

Read the rubric

Read <skill_path>/references/scoring-rubric.md for detailed criteria at each level (0-3).

Score each dimension

For each of the 8 dimensions, evaluate against the checklist criteria in the rubric:

#DimensionWhat to Evaluate
1CLAUDE.md QualityStructure, specificity, anti-patterns, tech stack docs
2Development WorkflowTest/lint/build commands, slash commands for workflows
3Skills CoverageDomain knowledge capture, reference files, repeated patterns
4Agent ArchitectureSpecialization, delegation rules, team structure
5Automation (Hooks)PostToolUse testing, validation loops, Stop hooks
6Tool IntegrationMCP servers, permissions, external tool access
7Guard RailsAnti-patterns specified, path-scoped rules, safety nets
8Context EfficiencyProgressive disclosure, reference splitting, token budget

SCORE Output

Present as a table with evidence:

## Score Report

| # | Dimension            | Score | Evidence |
|---|----------------------|-------|----------|
| 1 | CLAUDE.md Quality    | ?/3   | [specific finding] |
| 2 | Development Workflow | ?/3   | [specific finding] |
| 3 | Skills Coverage      | ?/3   | [specific finding] |
| 4 | Agent Architecture   | ?/3   | [specific finding] |
| 5 | Automation (Hooks)   | ?/3   | [specific finding] |
| 6 | Tool Integration     | ?/3   | [specific finding] |
| 7 | Guard Rails          | ?/3   | [specific finding] |
| 8 | Context Efficiency   | ?/3   | [specific finding] |
|   | **TOTAL**            | **?/24** | **Grade: ?** |

### Top Gaps
1. [Biggest gap with specific recommendation]
2. [Second gap]
3. [Third gap]

Gate

  • If mode is audit: STOP here. Present the report and offer to run /refine for implementation.
  • If mode is quick: skip to PHASE 4 with top 3 gaps only.
  • If mode is full: proceed to PHASE 3.

PHASE 3: INTERVIEW

Goal: Ask targeted questions to fill knowledge gaps found in the scan. Skip dimensions already scoring 2+.

Rules

  • Ask a MAXIMUM of 5 questions total
  • Only ask about dimensions scoring 0 or 1
  • Questions must be specific to gaps found, not generic
  • If all dimensions score 2+, skip the interview entirely

Question Bank (select from based on gaps)

If CLAUDE.md Quality is low (0-1):

  • "What are the top 3 mistakes Claude makes in this project that you have to correct?"
  • "Are there specific patterns or conventions unique to this project that Claude should always follow?"

If Development Workflow is low (0-1):

  • "What commands do you run before committing code? (tests, lint, typecheck, etc.)"
  • "Do you have a preferred way to run a single test file?"

If Skills Coverage is low (0-1):

  • "What's the most repetitive task you do with Claude in this project?"
  • "Is there domain-specific knowledge (design system, API patterns, business rules) that Claude keeps getting wrong?"

If Agent Architecture is low (0-1):

  • "Are there distinct areas of the codebase that require different expertise (frontend vs backend, etc.)?"
  • "Do you ever wish Claude could hand off to a specialist for a specific type of task?"

If Automation is low (0-1):

  • "Do you want Claude to automatically run tests after editing files?"
  • "Should Claude play a sound or notify you when it finishes a long task?"

If Tool Integration is low (0-1):

  • "Are there external services Claude should be able to access? (database, browser, APIs)"

If Guard Rails are low (0-1):

  • "What are common mistakes Claude makes in this project? (wrong patterns, bad imports, etc.)"
  • "Are there files or directories Claude should never modify?"

If Context Efficiency is low (0-1):

  • "Is your CLAUDE.md feeling too long? Are there sections that could be loaded on-demand instead?"

Gate

Interview must complete (or be skipped) before implementing. Never start writing files during the interview.


PHASE 4: IMPLEMENT

Goal: Generate specific, actionable changes ordered by impact. Each change approved individually.

Read reference files as needed

Based on what you're implementing, read the relevant reference files:

  • <skill_path>/references/claude-md-patterns.md — for CLAUDE.md improvements
  • <skill_path>/references/skills-and-agents.md — for skill/agent/command creation
  • <skill_path>/references/hooks-and-automation.md — for hook and MCP setup
  • <skill_path>/references/project-archetypes.md — for project-type-specific recommendations

Implementation Order (by impact)

  1. CLAUDE.md — highest impact, always first
  2. Development workflow — commands, scripts
  3. Guard rails — anti-patterns, constraints
  4. Skills — domain knowledge capture
  5. Hooks — automation
  6. Agents — only if project warrants it
  7. MCP servers — external integrations
  8. Settings — permissions, preferences (always last)

For each change

  1. Explain what you're adding/modifying and WHY (tie to a specific gap from the score)
  2. Show the proposed change
  3. Ask: "Apply this change? (yes/skip/modify)"
  4. Only apply after approval
  5. Move to next change

Change Format

For each proposed change:

### Change [N]: [Title]
**Addresses:** Dimension [#] — [name] (currently [score]/3)
**Impact:** [what improves]
**File:** [path]

[Show the exact content to add/modify]

Apply this change? (yes / skip / modify)

After all changes

Re-run the scanner and present an updated score:

## Updated Score

| Dimension | Before | After |
|-----------|--------|-------|
| ...       | ?/3    | ?/3   |

**Previous grade:** [X] ([N]/24)
**New grade:** [Y] ([M]/24)

ANTI-PATTERNS — What This Skill Must NEVER Do

  1. NEVER generate a generic CLAUDE.md template. Every line must be project-specific based on the scan.
  2. NEVER skip the scan. All recommendations must be grounded in actual project state.
  3. NEVER recommend skills/agents for small projects that don't need them. Match complexity to project size.
  4. NEVER create bloated config. If the project is simple, the config should be simple.
  5. NEVER duplicate information. If it's in CLAUDE.md, don't repeat it in a skill reference.
  6. NEVER add hooks that slow down the workflow. Every hook must be fast (< 5s).
  7. NEVER recommend MCP servers the project doesn't need.
  8. NEVER make changes without individual approval in full/quick mode.
  9. NEVER score without evidence. Every score must cite specific findings from the scan.
  10. NEVER ask generic interview questions. Only ask about gaps found in scoring.

REFERENCE FILES

These contain detailed best practices. Read them on-demand during PHASE 4, not upfront:

  • <skill_path>/references/scoring-rubric.md — Checklist criteria for each dimension at each level (0-3)
  • <skill_path>/references/claude-md-patterns.md — CLAUDE.md structure, anti-patterns, templates per project type
  • <skill_path>/references/skills-and-agents.md — Decision framework for skills vs agents vs commands. Top patterns.
  • <skill_path>/references/hooks-and-automation.md — Hook recipes, MCP patterns, permission configuration
  • <skill_path>/references/project-archetypes.md — Recommended config per project type (React, Python, fullstack, monorepo, Go/Rust)

Replace <skill_path> with the actual path to this skill's directory when reading files.

平台分布

Codex

36.6%
按下载量换算59

Claude

30.21%
按下载量换算49

Cursor

19.41%
按下载量换算31

Gemini CLI

9.65%
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

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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