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Agent Skill · 研究检索

create-skill(创造技能)

create-skill 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。

create-skill 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 57,063。

总安装 441周安装 25GitHub Stars 2下载 290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:create-skill(创造技能)
来源仓库:https://github.com/richfrem/agent-plugins-skills
仓库路径:skills/create-skill
安装命令:
npx skills add https://github.com/richfrem/agent-plugins-skills --skill create-skill
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/richfrem/agent-plugins-skills --skill create-skill

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。

create-skill 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。

安装方式:github,使用 npx skills add 命令添加指定仓库的 skill。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。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。

来源仓库内路径:skills/create-skill

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/richfrem/agent-plugins-skills --skill create-s…;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

create-skill 怎么安装?

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

create-skill 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。

create-skill 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/richfrem/agent-plugins-skills --skill create-skill 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。

create-skill 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。

create-skill 用的人多吗?

公开数据是累计安装 441 次,近一周安装 25 次,下载 290 次,GitHub 2 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。

create-skill 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
create-skill

创造技能 · 本页

4412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

create-skill: Skill Scaffolding Executor

Scaffolds a complete, standards-compliant agent skill directory. Handles filesystem operations, template rendering, name validation, and discovery — then hands off to the TDD quality gate.

Scope: This skill owns *structure*. It does not own *content quality* or *routing accuracy*. Those are governed by os-skill-improvement (see cross-plugin handoff below).


Inputs

  • $ARGUMENTS — optional skill name or brief use-case description passed as initial context to the discovery phase. Omit to start with open discovery.

Phase 1: Discovery Interview

Before writing any files, capture all required inputs:

  1. Skill name — lowercase-hyphen slug (e.g. link-validator). Validate: no spaces, no special characters, no shell injection sequences (reject names containing ;, &, |, $, ` ``).
  2. Purpose — one sentence: what does this skill do and when does it fire?
  3. Target plugin — which plugin directory will own this skill?
  4. Trigger phrases — 3-5 specific phrases a user would say to invoke it.
  5. Tools needed — which allowed-tools does it require?

If $ARGUMENTS is provided, treat it as a starting point and confirm rather than re-ask.


Phase 2: Plan and Confirm

Present the proposed directory layout before writing anything:

plugins/<plugin>/skills/<skill-name>/
  SKILL.md
  evals/
    evals.json
  references/
    acceptance-criteria.md
  ./scripts/         (if the skill needs Python helpers)
  ./assets/          (if the skill needs static resources)

Confirm with the user before proceeding. If a directory with that name already exists:

"Warning: <path> already exists. Overwrite? (yes/no)" Do NOT overwrite without explicit confirmation.

Phase 3: Scaffold

Create the confirmed directory structure. Standards enforced by acceptance-criteria.md:

  • Python only — helper scripts go in scripts/*.py. Never generate .sh bash scripts.
  • Symlink, don't copy — if the skill needs a Python helper that lives at the plugin root's scripts/ directory, create a file-level symlink in skills/<skill>/scripts/ pointing to ../../../scripts/<canonical_name>.py. Never duplicate the file. The symlink filename may differ from the target (e.g. execute.py → exploration_optimizer_execute.py). Create with: ln -s../../../scripts/<canonical_name>.py skills/<skill>/scripts/<name>.py Verify the symlink resolved: python3 -c "import os; print(os.path.exists('skills/<skill>/scripts/<name>.py'))" must print True. On Windows/core.symlinks=false machines, git will check these out as plain-text "stand-in" files — run bulk_symlink_fixer.py to restore them after checkout.
  • Starter SKILL.md — frontmatter with name, description (use the purpose from Phase 1; MUST NOT exceed 1024 characters), allowed-tools. Body: stub sections for Identity, Steps, and Common Failures.
  • Starter evals.json — at least 2 placeholder eval cases using the should_trigger schema: {"id": "eval-1-positive", "type": "positive", "prompt": "REPLACE", "should_trigger": true} {"id": "eval-2-negative", "type": "negative", "prompt": "REPLACE", "should_trigger": false} ⚠️ Schema requirement: Always use should_trigger: true/false. The legacy expected_behavior string field is ignored by the eval scorer and will produce 0% accuracy.
  • acceptance-criteria.md — write to references/acceptance-criteria.md with the acceptance criteria captured in Phase 1.

Phase 4: Quality Gate Handoff

Dependencies

  • os-skill-improvement (agent-agentic-os plugin)
[!TIP] See INSTALL.md for instructions on how to install missing dependencies.

If os-skill-improvement is available, hand off immediately after scaffolding:

Invoke os-skill-improvement on the newly scaffolded skill at <path>.
The RED scenario is: [trigger phrase from Phase 1 discovery].
Run the RED-GREEN-REFACTOR cycle to verify routing accuracy before shipping.

If not available, advise the user:

Scaffold complete. To verify routing accuracy and trigger description quality, ensure **os-skill-improvement** is installed. See [INSTALL.md](https://github.com/richfrem/agent-plugins-skills/blob/main/INSTALL.md).

Phase 5: Report

✅ Scaffolded: plugins/<plugin>/skills/<skill-name>/
   Files created: SKILL.md, evals/evals.json, references/acceptance-criteria.md
   Quality gate: [PASSED via ~~skill-improvement | SKIPPED — ~~eval-gate not installed]
   Next: fill in REPLACE placeholders in evals/evals.json, then run ~~eval-gate baseline

Edge Cases

  • Empty $ARGUMENTS: begin with Phase 1 discovery — do not skip to scaffolding
  • Existing directory: dual-confirmation before any overwrite (see Phase 2)
  • Improving an existing skill: redirect to ~~skill-improvement capability — that skill owns content quality and routing improvement. create-skill is for net-new scaffolding only.
  • Scaffold script crash: read the Python stack trace, correct obvious errors, or surface the full trace to the user — do not silently skip
  • Template rendering failure: do not output partially-rendered content; provide the base template inline and instruct the user to fill values manually

References

  • acceptance-criteria.md — structural pass/fail criteria
  • fallback-tree.md — error handling procedures
  • Architectural Decision Records (ADRs) located at references/ADRs/. Always consult them for standards on plugin architecture, shared scripts, cross-plugin dependencies, symlinking, and loose coupling to avoid repeating yourself.
  • ~~skill-improvement *(~~eval-gate capability — see CONNECTORS.md)*: TDD methodology, RED scenario protocol, eval gate.
  • ~~eval-gate *(~~eval-gate capability — see CONNECTORS.md)*: autoresearch eval loop for skill optimization.

平台分布

Codex

38.22%
按下载量换算111

Claude

27.5%
按下载量换算80

Cursor

18.47%
按下载量换算54

Gemini CLI

8.81%
按下载量换算26

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/richfrem/agent-plugins-skills --skill create-skill 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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