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Agent Skill · 研究检索

skill-authoring(技能创作)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

skill-authoring 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 65,351。

总安装 282周安装 12GitHub Stars 997下载 99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:skill-authoring(技能创作)
来源仓库:https://github.com/tencentcloudbase/cloudbase-mcp
仓库路径:skills/skill-authoring
安装命令:
npx skills add https://github.com/tencentcloudbase/cloudbase-mcp --skill skill-authoring
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/tencentcloudbase/cloudbase-mcp --skill skill-authoring

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。

skill-authoring 用于辅助安全审计、权限检查和认证流程分析。适合让 Agent 梳理敏感配置、检查依赖风险或生成安全复核清单。通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。

使用时不能把工具输出直接当最终结论,涉及密钥或生产系统时应先确认最小权限。当前分类为研究检索,暂无更多功能细节可参考。

来源仓库内路径:skills/skill-authoring

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/tencentcloudbase/cloudbase-mcp --skill skill-a…;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

skill-authoring 怎么安装?

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

skill-authoring 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。

skill-authoring 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。

skill-authoring 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。

skill-authoring 用的人多吗?

公开数据是累计安装 282 次,近一周安装 12 次,下载 99 次,GitHub 997 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。

skill-authoring 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。
  • 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
skill-authoring

技能创作 · 本页

282997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

Skill Authoring

Create and refine reusable agent skills with better trigger quality, cleaner structure, stronger behavioral guidance, and more reliable evaluation.

When to use this skill

Use this skill when you need to:

  • Create a new SKILL.md
  • Improve an existing skill's name or description
  • Review whether a skill is too broad, too narrow, or poorly structured
  • Audit a local skill collection such as config/source/skills for redundancy, trigger overlap, or weak boundaries
  • Split a large skill into SKILL.md plus references/, assets/, or scripts/
  • Design evaluation prompts and review whether a skill triggers and behaves correctly

Repo-managed CloudBase skill review

When the task targets config/source/skills, apply these guardrails in addition to the normal skill-authoring workflow:

This section is the repo-managed CloudBase skill review baseline for this repository.

  • Keep frontmatter complete and normalized, including version
  • Keep examples inside the skill's declared platform and scope
  • Keep shared operational rules in one canonical source instead of copying large blocks across neighboring skills
  • If the skill claims a rule is mandatory, show that rule in at least one example
  • When giving a recommended default, also explain the tradeoff behind it
  • Do not infer public CNB / OpenClaw / ClawHub paths from the source tree; verify the actual published structure before writing fallback links or marketplace-facing URLs
  • If a skill mentions raw URLs, blob URLs, or marketplace-consumed paths, check live reachability before finalizing the text
  • Put standalone-install fallback guidance where the user needs it: keep the top-level note short, and place sibling-skill fallback links next to the actual cross-skill reference

Do NOT use for:

  • General documentation writing that is not about skills
  • README polish or marketing copy
  • Prompt tweaks that do not affect skill structure or behavior
  • Rule files unrelated to SKILL.md

How to use this skill (for a coding agent)

  1. Identify the task class first

- Determine whether the request is about creating a new skill, reviewing an existing skill, or improving trigger quality, structure, or evaluation

  1. Optimize the trigger surface early

- Draft name and especially description before expanding the body - Put realistic trigger language into description, not only into the body

  1. Design behavior, not just documentation

- Make the main SKILL.md tell the agent what to do after the skill triggers - Use references for deeper guidance, not as a substitute for behavioral rules

  1. Load supporting materials only when needed

- Use the routing table to decide which reference file to read - Avoid loading every reference file by default

  1. Use collection-level review when the request is about many skills

- When reviewing config/source/skills, check overlap, duplication, trigger boundaries, and progressive disclosure across neighboring skills - Prefer evidence-based findings with concrete file references and rewrite guidance - Treat source layout, published skills-repo layout, and marketplace-consumed layout as different surfaces until you verify they are the same

  1. Evaluate before considering the skill complete

- Create should-trigger and should-not-trigger prompts - Run them, review the results, and iterate on the skill

Routing

TaskRead
Write or improve name and descriptionreferences/frontmatter-patterns.md
Design skill anatomy and progressive disclosurereferences/structure-patterns.md
Draft a new skill or review an existing onereferences/templates.md
Audit config/source/skills for quality, redundancy, and overlapreferences/repo-skill-review.md
Review repo-managed CloudBase source skillsreferences/cloudbase-skill-review.md
Build evaluation prompts and review outcomesreferences/evaluation.md
Compare good examples, weak examples, and rewritesreferences/examples.md

Quick workflow

  1. Identify the skill's job, boundary, and closest neighboring skills.
  2. Draft name and description with realistic trigger language.
  3. If the task targets config/source/skills, read references/repo-skill-review.md, then load references/cloudbase-skill-review.md for CloudBase-specific standards before proposing rewrites.
  4. If the skill text will mention published URLs or fallback paths, verify the public structure and at least one real URL before writing.
  5. Write the main SKILL.md so it changes agent behavior after trigger.
  6. Move deep detail into references/, assets/, or scripts/ as needed.
  7. Run evaluation prompts and revise until trigger quality and behavior are stable.

Minimum self-check

  • Is the name short, intentional, and stable?
  • Does the description explain both capability and trigger conditions?
  • Does the main SKILL.md change agent behavior after trigger?
  • Are non-applicable scenarios explicit?
  • Does routing point to the right reference file for each task?
  • If the skill references public URLs or standalone-install fallback paths, were those URLs verified against the actual published surface instead of guessed from local directories?
  • Are evaluation prompts present for both should-trigger and should-not-trigger cases?
  • Can you explain why this skill stays distinct from its nearest neighbors?
  • If reviewing a skill collection, can you point to redundancy, overlap, and missing boundaries with concrete evidence?

平台分布

Codex

32%
按下载量换算32

Claude

29.61%
按下载量换算29

Cursor

20.67%
按下载量换算20

Gemini CLI

9.08%
按下载量换算9

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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