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Intelligence and enrichment - person and company data, social profiles, events, and funding
Passed 11 of 15 test cases with the skill, and 2 of 15 without it.
and 19 more in the full report
13 fixed3 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to pull recent social media followers for Twitter profile https://twitter.com/openai using the Gooseworks proxy API. Show the curl command.
| Checked | Without skill | With skill |
|---|---|---|
| The payload sets path to /person/interactions. | Missed | Passed |
| The payload body sets type to followers. | 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"
Enrich person and company data with social profiles, events, interests, funding, and more.
Search people by company name, role, geography, and person name. Returns requestId for polling.
Parameters:
test cases passed, vs 2 / 15 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.