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Passed 12 of 16 test cases with the skill, and 5 of 16 without it.
and 7 more in the full report
10 fixed6 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When running the credentials check for the Gooseworks API, the file ~/.gooseworks/credentials.json is missing on my system. What exact CLI command should be recommended to log in?
| 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"
Search for jobs matching your skills, experience level, and location preferences.
Use Fiber to search for jobs:
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/job-search"}'
"searchParams": {
"job_titles": ["Software Engineer", "Full Stack Developer"],
"locations": ["San Francisco", "Remote"],
"experience_level": "senior"
}
}'
Get company information for interesting roles:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
test cases passed, vs 5 / 16 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.