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Identity verification via phone/email OTP and AML screening using Didit API
Passed 6 of 11 test cases with the skill, and 2 of 11 without it.
and 11 more in the full report
8 fixed3 passed either way10 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
What command should be presented to the user if ~/.gooseworks/credentials.json does not exist on their machine?
| 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"
Verify user identities through phone/email OTP codes and screen against AML databases.
Send a one-time verification code to an email address.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
test cases passed, vs 2 / 11 without
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