Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →gooseworks-ai/find-email-by-name
Find someone's email address given their name and company
Passed 17 of 20 test cases with the skill, and 10 of 20 without it.
and 5 more in the full report
8 fixed12 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
If the local credentials file `~/.gooseworks/credentials.json` does not exist when preparing to run email finding calls, what exact CLI command should be suggested to the user?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends running `npx gooseworks login`. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
Uses Hunter or Tomba APIs to find the most likely email address for a person based on their name and company domain.
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"}}'
test cases passed, vs 10 / 20 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.