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Non-user-invocable provider/setup reference for evo backend switching, prerequisite checks, and auth/install guidance.
Passed 20 of 22 test cases with the skill, and 7 of 22 without it.
and 13 more in the full report
13 fixed7 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
We allocated four dedicated directories for parallel runs at `/mnt/slots/s1`, `/mnt/slots/s2`, `/mnt/slots/s3`, and `/mnt/slots/s4`. What exact CLI command configures evo to use these four directories as a local pool backend?
| Checked | Without skill | With skill |
|---|---|---|
| Uses `evo config backend pool --workspaces /mnt/slots/s1,/mnt/slots/s2,/mnt/slots/s3,/mnt/slots/s4`. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this when the user wants to change where experiments run: local worktrees, pool slots, or a remote provider such as Modal, E2B, Daytona, AWS, Azure, SSH, manual, or a custom dotted-path provider.
worktree or pool means local backends.modal, e2b, ssh:..., or another remote spec means backend=remote.modale2bdaytonaawsazuremanualssh:user@host[:port]
evo is on PATH and whether it is the expected evo-hq-cli package (evo --version). If the provider SDK is missing, evo's provider loader prints the provider-specific extra or SDK package to install; use that message rather than guessing.evo executable. If missing, ask the user before installing it.
evo was installed with uv tool or pip/venv, prefer the matching extra on evo-hq-cli:
uv-tool: uv tool install --reinstall 'evo-hq-cli[<provider-extra>]'venv / pip: python -m pip install 'evo-hq-cli[<provider-extra>]'evo was installed with pipx, inject the provider SDK into the same evo-hq-cli environment:
pipx: pipx inject evo-hq-cli <provider-sdk>references/provider-matrix.md.evo config backend remote --provider <provider> --provider-config ...
test cases passed, vs 7 / 22 without
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