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Agent Skill · 开发

email-importance-content-analysis(电子邮件重要性内容分析)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

email-importance-content-analysis 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 1,282。

总安装 33,936周安装 1,414GitHub Stars 公开资料未说明下载 11,312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
MIT-0
版本
1.0.1

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:email-importance-content-analysis(电子邮件重要性内容分析)
来源仓库:https://github.com/shingo0620/email-importance-content-analysis
安装命令:
openclaw skills install email-importance-content-analysis
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install email-importance-content-analysis

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

使用基于内容的分析而不是发件人姓名或邮箱标签(可能是欺骗性的)来判断电子邮件是否重要/紧急。当被要求对电子邮件进行分类、决定优先级、检测网络钓鱼/社交工程或根据消息要求用户执行的操作推荐下一步操作(回复/支付/登录/下载/点击)时使用。

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 OpenClaw;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 openclaw skills install email-importance-content-analysis;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

    它需要需要联网,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

email-importance-content-analysis 怎么安装?

在终端执行 openclaw skills install email-importance-content-analysis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

email-importance-content-analysis 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

email-importance-content-analysis 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

email-importance-content-analysis 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

email-importance-content-analysis 用的人多吗?

公开数据是累计安装 33,936 次,近一周安装 1,414 次,下载 11,312 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。

email-importance-content-analysis 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
email-importance-content-analysis

电子邮件重要性内容分析 · 本页

33,936—需要联网MIT-0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

name
email-importance-content-analysis
description
Judge whether an email is important/urgent using content-based analysis rather than sender name or mailbox labels (which can be spoofed). Use when asked to triage emails, decide priority, detect phishing/social-engineering, or recommend next actions (reply/pay/login/download/click) based on what the message asks the user to do.

Email Importance Content Analysis

Use a subject/title-first triage, then perform technical verification (headers/links/attachments) only when warranted, and only then validate with content analysis. Treat sender display name, badges, labels, and “From” appearance as untrusted.

Workflow (title → technical → content)

1) Title/subject + sender triage (cheap first-pass)

Use only: subject line + sender (display name + email address/domain as shown). Do not click anything.

Important: treat sender as weak signal (can be spoofed). Use it for triage only.

1A) Fast-drop rules (save time)

If the sender looks obviously sloppy/spoofed AND the email is not expected, classify as Likely scam/ads and stop (do not spend time on technical verification). Examples of fast-drop signals:

  • Display name claims a bank/government/major brand but the address is from a free mailbox (gmail/outlook/163/qq) or unrelated domain
  • Lookalike domains / typo-squatting: paypaI (I/l), micros0ft (0/O), extra -secure/-verify, weird punctuation
  • Suspicious TLDs or brand stuffed into subdomain: brand.security-check.example.com
  • Very unprofessional local-part patterns (random digits/strings) while claiming official identity
  • Pure promo patterns (promo/marketing/news) + obvious sales subject ⇒ treat as ads
1B) Escalate rules (to technical verification)

Escalate for technical verification if subject OR sender implies any of:

  • Money/settlement: 扣款/圈存/付款/退款/發票/帳單/對帳單/繳費
  • Account/security: 登入/驗證/密碼重設/異常登入/停權/封鎖/安全警告
  • Delivery/download: 文件下載/取件號碼/包裹/物流失敗
  • Urgency/threat: 最後通知/24小時內/立即/否則將…
  • Execution: 附件/請下載/請開啟/啟用巨集

If the subject is clearly marketing/newsletter and no action is implied ⇒ usually stop here (Low).

If it triggers the fast-drop rules, you may label it as:

  • Importance: Low
  • Risk: Medium–High (spoof attempt)
  • Next step: Do not click; optionally mark as spam/block

2) Technical verification (only for emails that passed title triage)

Prefer evaluating raw email headers / “Show original” output (or via gog gmail get). Check:

  • Authentication-Results: SPF / DKIM / DMARC results (pass|fail|neutral) and note which domain they authenticate
  • Alignment: whether DKIM d= domain / SPF MAIL FROM / DMARC aligns with the visible From domain
  • From vs Reply-To mismatch
  • Links and attachments:

- Expand the real target domain (hover/copy link) — don’t trust anchor text - Note risky attachments (e.g., .zip, .iso, .js, .vbs, .docm, password-protected archives)

If headers are not available, mark Technical verdict = Unknown and increase caution.

3) Extract the actionable claims (facts only) — only if technical verification passes

From the email body, list:

  • What happened / what they claim happened
  • What they want the recipient to do (and by when)
  • What account/system/money is involved
  • What evidence they provide (order id, invoice id, ticket id, last-4 digits, timestamps)

4) Classify the required action (drives importance)

Rank higher if it requires any of:

  • Account access / authentication: login, password reset, 2FA codes, device approval
  • Money movement: payment, wire, subscription renewal, invoice settlement, refunds
  • Permissions / security posture: granting access, changing roles, API keys, OAuth consent
  • Software execution: download/open an attachment, run a file, enable macros
  • Data disclosure: personal/company info, documents, ID numbers

5) Content risk patterns (red flags)

Increase risk if the content shows:

  • Urgency / threat: “within 24h”, “account will be closed”, “legal action”, “final notice”
  • Secrecy / bypass: “don’t tell others”, “use personal email”, “avoid normal process”
  • Mismatch / vagueness: generic greeting, unclear context, missing specifics the real sender would know
  • Odd requests: asking for OTP, gift cards, crypto, remote access, or direct bank changes
  • Link/attachment pressure: “click to verify”, “download to view”, “enable macros”

6) Choose safe verification (do not trust the email path)

Even if SPF/DKIM/DMARC pass, for sensitive actions recommend out-of-band verification:

  • Navigate via known official entry points (typed URL, app, bookmark), not email links
  • If it claims an account issue: check account status by logging in from official site/app
  • If it’s a vendor/payment issue: verify using the invoice/order id inside the official portal
  • If it’s workplace related: verify via internal chat/phone using known contacts

7) Output: priority + next action

Always provide:

  • Title triage verdict: Escalate / Ignore
  • Technical verdict: Pass / Fail / Unknown
  • Importance level: Critical / High / Medium / Low
  • Risk level: High (likely phishing) / Medium / Low
  • Recommended next step: what to do *now*, what *not* to do, and how to verify

Decision Heuristics (quick)

  • Technical FAIL (SPF/DKIM/DMARC fail or obvious mismatch) + any call-to-action ⇒ Risk: High (treat as phishing) regardless of “importance”.
  • Critical: money/credentials/permissions + urgency OR any request for OTP/macro/remote access.
  • High: requires action soon, could cause loss of access/service interruption, but can be verified safely via official channels.
  • Medium: informational but relevant; no immediate sensitive action.
  • Low: newsletters, marketing, generic updates with no action.

Response Template (use in replies)

  • Title triage (why it escalates / why it can be ignored):
  • Technical verification (SPF/DKIM/DMARC + alignment + From/Reply-To + link/attachment notes):
  • Summary (1–2 lines):
  • What it’s asking you to do:
  • Why it may matter (impact if ignored):
  • Red flags (if any):
  • Safe verification path:
  • Recommendation (do / don’t):

平台分布

OpenClaw

72.37%
按下载量换算8,186

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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