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find-email-by-name

Find someone's email address given their name and company

Install / Use

npx skills add gooseworks-ai/goose-skills --skill find-email-by-name

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

82/100

Supported Platforms

Universal

Our assessment of find-email-by-name

find-email-by-name scores 82/100 on our quality scale, 306th of 387 Communication skills we index.

Its SKILL.md is 4.9 KB long, well organised into 17 sections with 6 code examples: a solid amount of guidance for an agent.

With 1,222 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
8/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 8 days ago, so find-email-by-name is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-01. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

find-email-by-name compared with similar skills

All 4 of these similar skills score higher than find-email-by-name; compare them before choosing.

SkillScoreStarsUpdatedFormat
find-email-by-name (this skill)by gooseworks-ai821.2k8d agoSKILL.md
Agent-Reachby Panniantong10087.2k15d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md
Scraplingby D4Vinci10084.9ktodayMCP Server
crawl4aiby unclecode10084.6k6d agoMCP Server

Frequently asked questions

How do I install find-email-by-name?
Run npx skills add gooseworks-ai/goose-skills --skill find-email-by-name. The install tabs above show the steps for each supported agent.
Which AI agents does find-email-by-name work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is find-email-by-name safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is find-email-by-name still maintained?
The repository was last updated 8 days ago, so find-email-by-name is actively maintained.

name: find-email-by-name description: Find someone's email address given their name and company source: orthogonal

Find Email by Name

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"

Find a person's email address when you know their name and company/domain. Essential for sales outreach, recruiting, and professional networking.

When to Use

  • User needs to contact someone at a company
  • User asks "what's [person]'s email at [company]?"
  • User wants to reach out to a specific person
  • Sales prospecting or lead generation
  • Recruiting outreach

How It Works

Uses Hunter or Tomba APIs to find the most likely email address for a person based on their name and company domain.

Usage

Find Email 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-finder","query":{"domain":"stripe.com","first_name":"Patrick","last_name":"Collison"}}'

Find Email 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-finder","query":{"domain":"intercom.com","company":"Intercom","first_name":"Eoghan","last_name":"McCabe"}}'

Find from LinkedIn Profile

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/linkedin","query":{"url":"https://linkedin.com/in/johndoe"}}'

Parameters

Hunter

  • domain (required) - Company domain (e.g., stripe.com)
  • first_name (required) - Person's first name
  • last_name (required) - Person's last name
  • company (optional) - Company name (alternative to domain)

Tomba

  • domain (required) - Company domain
  • company (required) - Company name (3-75 chars)
  • first_name / last_name or full_name - Person's name
  • enrich_mobile (optional) - Set to true to include phone number

Response

Hunter Response

Returns data object:

  • email (string) - The found email address
  • score (integer) - Confidence 0-100 (higher = more likely correct)
  • domain (string) - Company domain searched
  • accept_all (boolean) - Whether server accepts any address
  • company (string) - Company name
  • position (string|null) - Job title if known
  • twitter (string|null) - Twitter handle if known
  • linkedin_url (string|null) - LinkedIn profile URL if known
  • phone_number (string|null) - Phone if known
  • sources (array) - Web pages where this email appeared
  • verification (object) - date and status (valid/invalid/unknown)

Tomba Response

Returns data.email object with email address and confidence data. Also includes web sources where the email was found.

Examples

User: "Find the email for Sarah Chen at Notion"

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-finder","query":{"domain":"notion.so","first_name":"Sarah","last_name":"Chen"}}'

User: "I need to contact John Smith who works at Google"

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-finder","query":{"domain":"google.com","company":"Google","first_name":"John","last_name":"Smith"}}'

Error Handling

  • 400 - Missing required parameters (Hunter needs domain + first_name + last_name)
  • 422 - Tomba validation error — ensure both domain and company are provided
  • 429 - Rate limit exceeded — wait and retry
  • Score of 0 means no match found — try alternate name spellings or a different API
  • If Hunter returns accept_all: true, the email format may be correct but the specific mailbox can't be confirmed

Tips

  • Use the company's main domain (not subdomains)
  • Try both Hunter and Tomba if one doesn't find results
  • Check confidence scores - high confidence means the email is likely correct
  • Always verify important emails before sending cold outreach
  • For LinkedIn profiles, Tomba's LinkedIn finder is very effective

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryCommunication
Updated8d ago
Forks208

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions