跳到正文
cccskills
免费在 GitHub 公开

verify-email

Verify if an email address is valid and deliverable

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(2)

  • SKILL.md5.0 KB
  • skill.meta.json280 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Email Verification

Setup

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Check if an email address is valid, exists, and can receive mail. Prevent bounces before sending.

When to Use

  • User wants to verify an email before sending
  • User asks "is this email address real?"
  • Cleaning an email list
  • Before cold outreach to avoid bounces
  • Validating user-provided email addresses

How It Works

Uses Hunter or Tomba APIs to verify email deliverability through multiple checks including syntax, domain, and mailbox verification.

Usage

Verify with Hunter

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-verifier","query":{"email":"john@example.com"}}'

Verify with Tomba

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/email-verifier","query":{"email":"jane@company.com"}}'

Parameters

  • email (required) - The email address to verify

Response

Hunter Response

Returns data object:

  • status (string) - valid, invalid, accept_all, or unknown
  • score (integer) - Confidence score 0-100
  • result (string) - deliverable, undeliverable, or risky (deprecated — use status)
  • regexp (boolean) - Syntax is valid
  • gibberish (boolean) - Address looks random
  • disposable (boolean) - Temporary email service
  • webmail (boolean) - Free webmail provider (Gmail, Yahoo, etc.)
  • mx_records (boolean) - Domain has MX records
  • smtp_server (boolean) - SMTP server responds
  • smtp_check (boolean) - Mailbox exists on server
  • accept_all (boolean) - Server accepts all addresses
  • block (boolean) - Email is blocked
  • sources (array) - Web pages where this email was found

Tomba Response

Returns data.email object:

  • status (string) - valid, invalid, or accept_all
  • result (string) - deliverable, undeliverable, or risky
  • score (integer) - Confidence score 0-100
  • smtp_provider (string) - Email provider name (e.g., "Google Workspace")
  • mx (object) - records array of MX hostnames
  • mx_check, smtp_server, smtp_check (boolean) - Verification checks
  • accept_all, greylisted, block (boolean) - Server behavior flags
  • gibberish, disposable, webmail, regex (boolean) - Address quality checks
  • whois (object) - Domain registration: registrar_name, referral_url, created_date

Also returns data.sources array with uri, website_url, extracted_on, last_seen_on, still_on_page.

Result Types

StatusMeaningAction
validMailbox exists and accepts mailSafe to send
invalidMailbox doesn't exist or domain has no MXDon't send
accept_allServer accepts any address — can't confirm mailboxSend with caution
unknownCouldn't verify (timeout, greylisting)Verify manually

Examples

User: "Check if hello@acme.com is a real email"

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-verifier","query":{"email":"hello@acme.com"}}'

User: "Verify sarah.jones@startup.io before I send my pitch"

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/email-verifier","query":{"email":"sarah.jones@startup.io"}}'

Error Handling

  • 400 - Missing or malformed email parameter
  • 401 - Invalid API key — check orth auth
  • 429 - Rate limit exceeded — wait and retry
  • If both APIs return unknown, the mail server is likely blocking verification — try later
  • Tomba may return greylisted: true — means the server deferred; retry after a few minutes

Tips

  • Always verify emails before bulk sending to protect sender reputation
  • "Valid" doesn't guarantee delivery - content still matters
  • Role-based emails (info@, sales@) may be valid but less effective for outreach
  • Disposable emails (tempmail, etc.) are detected and flagged
  • Some corporate domains block verification - "unknown" doesn't mean invalid

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12642026年10月23日 更新

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12642026年10月23日 更新

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12642026年10月23日 更新

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12642026年10月23日 更新

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12642026年10月23日 更新

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12642026年10月23日 更新

查看 gooseworks-ai 的全部技能

报告此技能的问题