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Web search, AI answers, content extraction, and async deep research
Passed 17 of 20 test cases with the skill, and 3 of 20 without it.
and 29 more in the full report
17 fixed3 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
What proxy request path and method should be used to list all research tasks associated with batch ID 'batch-123'?
| Checked | Without skill | With skill |
|---|---|---|
| Sets path to /v1/deepresearch/batches/batch-123/tasks in the payload | Missed | Passed |
| Dispatches request to $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run | Missed | Passed |
The instructions your model reads when the skill loads.
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(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"
Search the web, get AI answers, extract content, and run deep research tasks.
Reference for getting deep research task status via GET /v1/deepresearch/tasks/{id}/status.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
test cases passed, vs 3 / 20 without
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