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Provisions the oracle ML inference daemon with onnxruntime via uv.
Passed 8 of 14 test cases with the skill, and 3 of 14 without it.
and 8 more in the full report
9 fixed4 passed either way9 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the exact Python inline invocation string required to run the Oracle environment setup via command line.
| Checked | Without skill | With skill |
|---|---|---|
| Imports both provision_venv and get_venv_path from the oracle.provision module | Missed | Passed |
| Prints the message attribute of the resulting object | Missed | Passed |
The instructions your model reads when the skill loads.
Provision the ML inference environment.
abstract:skills-eval)cd plugins/oracle && uv run python -c "
from oracle.provision import provision_venv, get_venv_path
result = provision_venv(get_venv_path())
print(result.message)
"
provision_venv() returns a result with a non-error message
and the venv path exists on disk under plugins/oracle/test cases passed, vs 3 / 14 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.