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Agent Skill · 研究检索

greenfield(greenfield 搜索)

greenfield 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。

greenfield 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 72,323。

总安装 188周安装 8GitHub Stars 公开资料未说明下载 66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:greenfield(greenfield 搜索)
来源仓库:https://github.com/squirrelsoft-dev/agent-skills
仓库路径:skills/greenfield
安装命令:
npx skills add https://github.com/squirrelsoft-dev/agent-skills --skill greenfield
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/squirrelsoft-dev/agent-skills --skill greenfield

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。

greenfield 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。它支持通过指定仓库、路径或关键词进行信息聚合与过滤,适用于研究、数据整理等场景。

可通过 npx skills add 命令从 GitHub 安装,具体用法需结合原始 README 进一步确认。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。greenfield 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/greenfield

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/squirrelsoft-dev/agent-skills --skill greenfie…;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

    它需要接触敏感数据,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

greenfield 怎么安装?

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

greenfield 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。

greenfield 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

greenfield 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。

greenfield 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 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。

greenfield 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
greenfield

greenfield 搜索 · 本页

188—接触敏感数据未明确有提醒

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

Greenfield Setup

Configures Claude Code for a new project. Everything is generated on the fly based on the actual stack and developer answers — not copied from generic templates.

Scope: Generates project foundation only:

  • CLAUDE.md,.claude/rules/,.claude/hooks/, settings.json, settings.local.json,.gitignore
  • Optional: git init + first commit, GitHub Actions CI workflows

Run /workflow after this to install development commands and agents.


Step 1 — Preflight & Stack Detection

Check whether any files that greenfield would generate already exist. Scan for:

  • CLAUDE.md
  • .claude/settings.json
  • .claude/settings.local.json
  • .claude/rules/ (any .md files inside)
  • .claude/hooks/ (any .sh files inside)

Ignore the .claude/skills/ directory — that is where installed skills live and is not a conflict.

If no conflicting files are found, proceed silently. If any conflicting files exist, use AskUserQuestion to show the list and ask:

"The following files already exist and will be overwritten: - [list each conflicting file] Continue and overwrite these, or run /brownfield instead to analyze what's already here?" Choices: Continue / Abort

Wait for confirmation before proceeding. If they choose Abort, stop.

Run stack detection:

bash "${CLAUDE_SKILL_DIR}/scripts/detect-stack.sh"

The script outputs JSON to stdout with: stack, framework, lang, pkg_manager, formatter, test_runner, has_typescript. Parse and store all values — they will be used as environment variables for the generator scripts.

If stack is "unknown", ask the developer:

"I couldn't detect your stack. What are you building? (e.g. Next.js, React, Node.js API, Python, Go, Rust,.NET)"

Update the detection values based on their answer.


Step 2 — Check for Previous Configuration

Before starting the interview, check if this skill has been run before:

SKILL_NAME="greenfield" \
bash "${CLAUDE_SKILL_DIR}/scripts/load-config.sh"

If the output is a non-empty JSON object (not {}), previous answers exist. Present them:

Previous greenfield configuration found:

  Project:       [PROJECT_NAME] — [PROJECT_DESCRIPTION]
  Stack:         [STACK]
  Agent teams:   [AGENT_TEAMS]
  Commit style:  [COMMIT_STYLE]
  CI/CD:         [CI_CD]

Would you like to:
  a) Update — regenerate all artifacts using these settings
  b) Reconfigure — start the interview from scratch

Use AskUserQuestion and wait for the response.

  • If Update: load all saved values into environment variables and skip to Step 3.
  • If Reconfigure: proceed to the full interview below.

If no previous config exists, proceed directly to the interview.


Step 2b — Developer Interview

Load the question set from: ${CLAUDE_SKILL_DIR}/references/interview.md

Ask questions one at a time using AskUserQuestion. This provides a cleaner experience — the developer sees one focused question with clear choices instead of a wall of text.

For each question:

  1. Use AskUserQuestion with the question text and suggested options/defaults
  2. Wait for the response
  3. Store the answer in the corresponding environment variable
  4. Move to the next question

Ask all 7 questions (Q1–Q7) in order. Ask Q6b only if STACK == python — skip it for every other stack and leave TYPECHECKER empty. Skip Q7's follow-up if the developer answers "no" to CI/CD. Do not proceed to Step 2c until all questions are answered.


Step 2c — Save Configuration

After the interview (or after loading previous config for an update), save the current answers:

SKILL_NAME="greenfield" \
CONFIG_JSON='{"PROJECT_NAME":"[val]","PROJECT_DESCRIPTION":"[val]","STACK":"[val]","FRAMEWORK":"[val]","LANG":"[val]","PKG_MANAGER":"[val]","FORMATTER":"[val]","TEST_RUNNER":"[val]","TYPECHECKER":"[val or empty]","HAS_TYPESCRIPT":"[val]","GIT_SETUP":"[val]","AGENT_TEAMS":"[val]","COMMIT_STYLE":"[val]","CI_CD":"[val]","CI_WORKFLOWS":"[val]"}' \
bash "${CLAUDE_SKILL_DIR}/scripts/save-config.sh"

Replace [val] with actual values. This writes to .claude/skill-config.json so future runs can reuse these answers.


Step 3 — Load Stack Knowledge

Read the appropriate stack reference file based on the confirmed stack:

StackFile
Next.js${CLAUDE_SKILL_DIR}/references/stacks/nextjs.md
React${CLAUDE_SKILL_DIR}/references/stacks/react.md
Node.js / TypeScript${CLAUDE_SKILL_DIR}/references/stacks/typescript-node.md
Python${CLAUDE_SKILL_DIR}/references/stacks/python.md
Go${CLAUDE_SKILL_DIR}/references/stacks/go.md
Unknown/otherUse Claude's training knowledge for that stack

Extract the command mappings (INSTALL_CMD, DEV_CMD, BUILD_CMD, TEST_CMD, LINT_CMD) from the stack reference file based on the detected package manager.


Step 3a — Security Tools Check

Check whether security tools used by the quality gate are installed:

STACK="[confirmed stack]" \
bash "${CLAUDE_SKILL_DIR}/scripts/check-security-tools.sh"

The script outputs JSON with the status of gitleaks, semgrep, trivy, and oxlint (oxlint is skipped for non-Node stacks).

If all relevant tools are installed, print a brief confirmation and continue:

✅ Security tools: gitleaks ✓  semgrep ✓  trivy ✓

If any tools are missing, list only the missing ones with install instructions:

⚠️  Some security tools used by the quality gate are not installed.
The quality gate will skip these checks until they're installed.

Recommended tools:

  gitleaks — Secret/credential detection (finds API keys, tokens, passwords)
    https://github.com/gitleaks/gitleaks#installing
    brew install gitleaks

  semgrep — SAST scanner (injection, XSS, OWASP Top 10)
    https://semgrep.dev/docs/getting-started/
    pip install semgrep  /  brew install semgrep

  trivy — Vulnerability scanner (dependencies, containers, IaC)
    https://trivy.dev/latest/getting-started/installation/
    brew install trivy

  oxlint — Fast linter for JavaScript/TypeScript (Node stacks only)
    https://oxc.rs/docs/guide/usage/linter
    npm install -g oxlint

Install them anytime — the quality gate will pick them up automatically.

Continue to Step 5.


Step 5 — Generate All Artifacts

Run each script with the correct environment variables. All scripts require PROJECT_DIR. Scripts can run in parallel — they write to separate paths and have no interdependencies.

5a — Settings

PROJECT_DIR="$PWD" \
AGENT_TEAMS="[true/false from Q5]" \
PKG_MANAGER="[from detection]" \
bash "${CLAUDE_SKILL_DIR}/scripts/generate-settings.sh"

5b — Rules

PROJECT_DIR="$PWD" \
STACK="[confirmed stack from Q3]" \
bash "${CLAUDE_SKILL_DIR}/scripts/generate-rules.sh"

5c — Hooks

PROJECT_DIR="$PWD" \
STACK="[confirmed stack from Q3]" \
PKG_MANAGER="[from detection]" \
FORMATTER="[from detection]" \
TEST_RUNNER="[from detection, e.g. vitest/jest/pytest/go-test]" \
TYPECHECKER="[from Q6b, python only — otherwise leave empty]" \
bash "${CLAUDE_SKILL_DIR}/scripts/generate-hooks.sh"

5d — CLAUDE.md

PROJECT_DIR="$PWD" \
PROJECT_NAME="[from Q1]" \
PROJECT_DESCRIPTION="[from Q2]" \
STACK="[confirmed stack from Q3]" \
INSTALL_CMD="[from stack reference]" \
DEV_CMD="[from stack reference]" \
BUILD_CMD="[from stack reference]" \
TEST_CMD="[from stack reference]" \
LINT_CMD="[from stack reference]" \
COMMIT_STYLE="[from Q6]" \
bash "${CLAUDE_SKILL_DIR}/scripts/generate-claude-md.sh"

5e —.gitignore

PROJECT_DIR="$PWD" \
bash "${CLAUDE_SKILL_DIR}/scripts/generate-gitignore.sh"

Each script outputs JSON status to stdout (e.g. {"status":"ok","files":[...]}). Check that all return "status":"ok". If any fail, report the error and stop.


Step 6 — Git Setup (if requested)

Only if the developer chose init in Q4.

Use the commit message based on Q6:

  • Conventional: chore(claude): initialize Claude Code configuration
  • Free-form: Initialize project with Claude Code configuration
git init
git add CLAUDE.md .claude/ .gitignore
git commit -m "[commit message from above]"

Step 7 — CI/CD (if requested)

Only if the developer chose yes in Q7.

Load templates from: ${CLAUDE_SKILL_DIR}/references/ci-templates.md

Generate .github/workflows/ files for each selected workflow (lint, test, build, deploy). Replace placeholder values ($PKG_MANAGER, $INSTALL_CMD, $LINT_CMD, $TEST_CMD, $BUILD_CMD) with the actual values from stack detection and the stack reference.

If git was initialized in Step 6, stage and commit the CI files:

git add .github/
git commit -m "ci: add GitHub Actions workflows"

Step 8 — Completion

Tell the developer what was created:

✅ Greenfield Setup Complete — [Project Name]

Generated:
- CLAUDE.md
- .claude/settings.json        (agent teams: yes/no)
- .claude/settings.local.json
- .claude/rules/               [list files]
- .claude/hooks/               [list scripts]
- .gitignore                   (updated)

Next steps:
1. Run /workflow to install development commands and agents
2. Restart Claude Code to load the new configuration

If git was initialized, include the commit hash. If CI/CD was scaffolded, list the workflow files created.


Reference Files

  • Full interview questions: ${CLAUDE_SKILL_DIR}/references/interview.md
  • Artifact content specs: ${CLAUDE_SKILL_DIR}/references/artifact-specs.md
  • CI workflow templates: ${CLAUDE_SKILL_DIR}/references/ci-templates.md
  • Stack conventions: ${CLAUDE_SKILL_DIR}/references/stacks/

平台分布

Codex

32.47%
按下载量换算21

Claude

29.42%
按下载量换算19

Cursor

20.15%
按下载量换算13

Gemini CLI

9.17%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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