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Agent Skill · 研究检索

skill%3aupdate(技能%3a 更新)

skill%3aupdate 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。

skill%3aupdate 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,权限为调用外部服务;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 67,870。

总安装 240周安装 10GitHub Stars 公开资料未说明下载 80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%3aupdate(技能%3a 更新)
来源仓库:https://github.com/cloudvoyant/codevoyant
仓库路径:skills/skill%3Aupdate
安装命令:
npx skills add https://github.com/cloudvoyant/codevoyant --skill skill:update
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/cloudvoyant/codevoyant --skill skill:update

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%3aupdate 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。适用于信息调研、内容聚合和线索筛选等研究类任务场景。通过关键词匹配和来源仓库分析,提供候选结果的快速定位与初步筛选能力。

安装命令:npx skills add https://github.com/cloudvoyant/codevoyant --skill skill:update。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。

来源仓库内路径:skills/skill%3Aupdate

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/cloudvoyant/codevoyant --skill skill:update;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

    它需要调用外部服务,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

skill%3aupdate 怎么安装?

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

skill%3aupdate 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%3aupdate 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

skill%3aupdate 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%3aupdate 用的人多吗?

公开数据是累计安装 240 次,近一周安装 10 次,下载 80 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。

skill%3aupdate 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 要求有安全扫描结论才肯安装的团队。
  • 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%3aupdate

技能%3a 更新 · 本页

240—调用外部服务未明确未收录

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

Compatibility: AskUserQuestion falls back to numbered list on non-Claude-Code platforms.

Skill Requirements

command -v npx >/dev/null 2>&1 || echo "MISSING: npx"

Critical Rules

  • Never modify skill files directly — always produce a plan first, accept it, then apply
  • Read the current SKILL.md in full before proposing anything
  • If target is ambiguous, ask the user

Step 0: Parse arguments

SKILL_NAME="${1:-}"

Step 1: Determine target

Check if a skill plan is currently active:

npx @codevoyant/agent-kit plans list --status Active --plugin skill 2>/dev/null

If one active plan found → offer to update it. If multiple active plans found → ask which one. If no active plans → ask if updating an existing skill (and which one).

If the user provides SKILL_NAME, resolve to either:

  • .codevoyant/plans/{skill-name}/plan.md (in-progress plan)
  • skills/{skill-name}/SKILL.md or .claude/skills/{skill-name}/SKILL.md (existing skill)

If ambiguous between plan and existing skill, ask:

AskUserQuestion:
  question: "Found both a plan and an existing skill for '{name}'. Which to update?"
  header: "Target"
  options:
    - label: "Update the in-progress plan"
    - label: "Update the existing committed skill"

Store as TARGET_TYPE (plan | existing) and TARGET_PATH.

Step 2: Read and scope the update

Read TARGET_PATH in full. If TARGET_TYPE=plan, also read all files in the plan directory (implementation phases, proposed skill files, research artifacts, etc.) to understand the full current state.

Ask which dimensions to improve:

AskUserQuestion:
  question: "Which dimensions do you want to improve?"
  header: "Update scope"
  multiSelect: true
  options:
    - label: "Address requests in plan — act on feedback or TODOs left in plan files" (Only if TARGET_TYPE = plan)
    - label: "Prompt quality — improve instruction clarity, step specificity, trigger description"
    - label: "Performance — parallelization, model selection (haiku vs sonnet vs opus), background flags"
    - label: "Agent additions/improvements — add agents, refine existing agent prompts or models"
    - label: "Skill dependencies — add/update/remove required tools or npx packages"

Store selected dimensions as UPDATE_DIMENSIONS.

Step 3: Confirm proposed changes

For each dimension in UPDATE_DIMENSIONS, articulate specifically what you intend to change — not vague intentions but concrete edits.

If "Address requests in plan" is selected: read all plan files in .codevoyant/plans/{skill-slug}/ (plan.md, implementation phases, proposed skill files, any inline comments or TODOs), then list each request or piece of feedback found and state exactly how you will address it.

For all other dimensions: describe the specific edit per dimension. Example: "For Prompt quality: I'll rewrite the trigger description to include three more trigger phrases and tighten Step 2 to name the exact tool used."

Present this as your proposed direction and ask for confirmation:

AskUserQuestion:
  question: "Does this capture the changes you want to make?"
  header: "Direction check"
  options:
    - label: "Yes — proceed"
    - label: "No — I want something different (describe below)"

If the user wants changes, apply and re-confirm once before continuing.


If the skill being updated is technology-specific or knowledge-oriented (infer from reading the SKILL.md — check for references to specific frameworks, external APIs, or research artifacts), also ask:

AskUserQuestion:
  question: "Are there specific resources, docs, or URLs you want to consult for this update?"
  header: "Resources"
  options:
    - label: "Yes — I'll list them below"
    - label: "No — use what's in the skill already"

If yes, wait for the user to provide the list. Store as RESOURCE_LIST.

Step 4: Research (if resources provided)

If RESOURCE_LIST is non-empty:

Tell the user: "Starting deep research on {N} resource(s) — this may take a few minutes. I'll notify you when the plan is ready."

Use the Agent tool to launch all researchers in a single message (one tool call per resource) so they run concurrently. For each resource, substitute into agents/skill-researcher.md:

  • {RESOURCE_URL} — the resource URL or path
  • {SKILL_NAME} — the skill being updated
  • {OUTPUT_PATH} — .codevoyant/plans/{skill-slug}-update-{YYMMDD}/research/{slug}.md

Each agent: model: claude-sonnet-4-6, run_in_background: true.

Do not send agent calls across separate messages — all must be in one message to run in parallel. Wait for all to complete before continuing.

Read all artifacts in .codevoyant/plans/{skill-slug}-update-{YYMMDD}/research/ and incorporate findings into the plan.

Step 5: Write update plan

  • Create .codevoyant/plans/{skill-slug}-update-{YYMMDD}/plan.md describing what changes will be made per dimension and why
  • Create .codevoyant/plans/{skill-slug}-update-{YYMMDD}/files/proposed-skill.md — the full updated SKILL.md draft
  • If agents are being added or modified, create .codevoyant/plans/{skill-slug}-update-{YYMMDD}/files/agents/{agent-name}.md for each using references/agent-template.md
  • Once all files are written, add links to them near the top of plan.md

Register plan, if TARGEG_TYPE = existing:

npx @codevoyant/agent-kit plans register \
  --name "{skill-slug}-update-{YYMMDD}" \
  --plugin skill \
  --description "Update skill:{skill-name} ({dimensions})" \
  --total 3
npx @codevoyant/agent-kit notify \
  --title "skill:update — Plan ready" \
  --message "Update plan for '{skill-name}' is ready for review"

Present plan to user.

AskUserQuestion:
  question: "Does this update plan look right?"
  header: "Plan review"
  options:
    - label: "Accept — apply changes"
    - label: "Adjust (describe changes)"
    - label: "Cancel"

Loop until accepted or cancelled. You MUST keep asking until the user is satisfied.

Step 6: Apply changes

Only after plan accepted. Write from plan files to the actual skill directory:

  • Copy files/proposed-skill.md → TARGET_PATH
  • Copy files/agents/{name}.md → {skill-dir}/agents/{name}.md for each modified agent

Do not touch any files not covered by the update plan.

Step 7: Validate

Run /skill:review to audit the new skill automatically.

Report: "Skill updated. Run /skill:review to audit changes."

平台分布

Codex

37.34%
按下载量换算30

Claude

31.45%
按下载量换算25

Cursor

18.32%
按下载量换算15

Gemini CLI

9.73%
按下载量换算8

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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