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The regression baseline is bootstrapped by copying a CI artifact. The workflow
tested only that timings.json existed, then printed it verbatim under a heading
inviting the reader to paste it in as the new baseline.
capture_timings.py writes that file and only then enforces --min-capture-ratio,
so an incomplete capture leaves a file that exists but covers fewer keys than
the contract declares. The verdict lived in CAPTURE_EXIT, a shell variable local
to run-full-validation.sh that no other program could read. So on a placeholder
baseline plus a thin capture, CI offered an incomplete artifact as the next
baseline, and pasting it narrowed the gate with nothing reporting that it had.
That is the failure shape this harness keeps producing: a degraded result that
looks exactly like a good one.
The artifact now carries its own completeness, next to metrics:
"capture": { "declared": 20, "captured": 20, "min_ratio": 0.5, "complete": true }
complete is the same condition the producer exits 0 on, computed once with the
exit code read off it, so the flag and the status cannot drift apart. Any
consumer can now tell a complete capture from a thin one, not just CI.
Both paste-me paths refuse rather than warn: the workflow prints the counts and
an error annotation with no JSON, and the comparator explains on stderr while
leaving stdout empty, so a redirect cannot produce a plausible-looking file. A
warning above a copyable block is still a copyable block, and a reader who has
just hit a red gate is already predisposed to re-baseline. A missing capture
block fails closed.
Refusal is scoped to bootstrapping a baseline, not to comparing against one, so
artifacts captured before this change still replay: verified against the run the
current baseline came from, which carries no capture block and still reports 0
regressions. An injected regression is still caught, and the gated surface is
unchanged at 20 keys with 5 excluded.