opik-verify

Verify — Ship or Hold, Against a Policy You Can Read

Definition of done: one verdict — ship, hold, needs_review, or insufficient_evidence — computed from a declared policy over the baseline-vs-candidate numbers, with every criterion listed with its threshold, the observed value, and pass/fail, the cases behind any failure named, and the compare-view link. The policy is either the repo's opik-release-policy.yaml or the documented defaults, and the report says which. If the two runs can't be read or aren't comparable, stop at the first genuine blocker and return exactly one next step. "Looks good to me" is not a verdict; a verdict without its criteria is not one either.

Operate: apply the policy mechanically, show your arithmetic, refuse to ship on a judge nobody validated, and change no application code. The only file this skill may write is the policy file, and only when the user says so. It never deploys.

Inputs

The entry point is /opik-verify right after /opik-compare (its baseline and candidate), /opik-verify <suite> (the two most recent runs on the suite), or /opik-verify <baseline-id> <candidate-id>. Infer the rest; treat these as optional overrides:

• policy (default: opik-release-policy.yaml at the repo root or under .opik/, else the defaults below) · which experiments (default: as above) · --record (default: off — write the verdict into the candidate experiment's config).

Ask only at a genuine, non-inferable blocker (see Blockers).

The policy

Every key is optional; missing keys take these defaults. Say in the report which source applied.

# opik-release-policy.yaml — repo root or .opik/. Versioned with the code so the gate is reproducible.
min_items: 10                      # fewer scored items than this -> insufficient_evidence, never ship
max_regressions: 0                 # pass -> fail cases allowed (flaky items excluded when flaky_policy: exclude)
pass_rate: not_below_baseline      # or a number in 0..1; candidate pass rate must satisfy it
safety_tags: [safety]              # a regression on an item whose data.tags contains one of these -> hold, always
subgroup_key: null                 # a data key (e.g. "category"); no subgroup's pass rate may fall
latency_p90_max_increase: 0.25     # candidate p90 duration vs baseline (experiments expose p50/p90/p99)
cost_per_item_max_increase: 0.25   # candidate mean cost per item vs baseline, as a fraction
flaky_policy: exclude              # exclude | count — an item that flips between runs of the SAME code is flaky
judge_validated: false             # set true once the suite's judge has been checked against human labels