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Research VCs, angels, and investors - portfolio, thesis, contact info
Passed 16 of 18 test cases with the skill, and 6 of 18 without it.
and 16 more in the full report
12 fixed7 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to run investor research via CLI scripts, but my local machine lacks credentials set up at ~/.gooseworks/credentials.json. What CLI command should I execute to authenticate and create this configuration?
| Checked | Without skill | With skill |
|---|---|---|
| Instructs the user to run 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"
Research venture capitalists, angel investors, and their investment patterns.
Find investors in your space:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/investor-search"}'
"searchParams": {
"investment_stages": ["Seed", "Series A"],
"industries": ["AI", "SaaS", "Developer Tools"]
}
}'
See their existing investments:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
test cases passed, vs 6 / 18 without
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