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Build a prospect list of companies with decision makers, verified contact info, and hiring/intent signals.
Passed 17 of 22 test cases with the skill, and 6 of 22 without it.
and 14 more in the full report
12 fixed7 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.
After deduplicating top target company domains from initial searches, which tool endpoint should be invoked to enrich companies with industry context and brand overviews?
| Checked | Without skill | With skill |
|---|---|---|
| Calls Brand.dev retrieve endpoint via proxy with the target domain. | 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"
Build a prioritized prospect list for any industry. Finds companies matching your ICP, identifies decision makers by title, enriches with verified contact info, and layers on hiring/intent signals to prioritize who's ready to buy now.
Extract from the user's query:
Run 2-3 search strategies in parallel:
Strategy A — Scrapegraph searchscraper (primary — most targeted results):
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
test cases passed, vs 6 / 22 without
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