gates: give two of them a margin, and make the probe see components
The probe printed one blended number per policy, so a component pinned at 0.000 across every rung was invisible. Four gates hid there for a month. It now reports floor / best-below-oracle / oracle / ceiling for 25 components across 8 environments, and a component flat across every rung is fatal. bot-detection GATE_SLACK = 1 — fires 5/32 on the real rollouts, was 0/32. The max(1, reference_caught - SLACK) guard is verified by construction, not by sampling: without it the required count reaches 0 and an EMPTY accusation list clears the gate. Observed reference_caught is 4-6, so no amount of sampling would have found that hole. schema-migration GATE_MARGIN = 0.15 — fires 4/32, was 0/32. The cost is disclosed and bounded: the naive split clears it on 5.5% of 1,000 unseen seeds, fenced by an assert at 10%. Margin 0.10 keeps the leak at zero and fires 0/32, i.e. stays dead. A live gradient with a bounded leak beats a clean corpse. redaction-pressure is NOT given a margin, and that is the result rather than a failure. The only setting that fires at all leaves half the secrets standing and pays a four-of-seven ruleset on five seeds in six — a margin that pays for inaction is strictly worse than a dead gate. Recall maxes at 0.852 and no rollout ever cleared both clauses in one episode. It is genuinely hard, not miscalibrated. ⚠️ The per-component check did not catch the defect it was built for. Reverting schema-migration's margin to 0.0 — restoring the exact dead gate — printed ok and exited 0, because the near-oracle rung scrapes the unmargined gate on ~2 seeds in 24 and that kept best<oracle non-zero. Every assertion bounded how much a margin may PAY; none noticed if it stopped existing. migration() now carries the mirror of bot-detection's guard, and reverting the margin fails with "the margin is dead and the component carries no gradient between the crude answer and the exact one". canary-trap's oracle-minus-one rung is documented as degenerate rather than quietly relied on: it is identical to the oracle to four decimals, so it measures specificity and gate at the ceiling, not mid-ladder as its comment claimed. The CI lock policy asks git instead of the disk. It was checking the working tree, where a lock file is a normal by-product of uv sync, so it passed in a clean checkout and failed on every machine that had run an eval. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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@@ -10,8 +10,11 @@ Four things are checked, and they are in tension by construction:
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rows the row count is unchanged. Without it, `DELETE FROM readings` scores perfect
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fidelity over an empty table — vacuously, since there is nothing left to be
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wrong about.
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gate all three, exactly. `forge verify`'s exit code: a migration is correct or it
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is not run in production.
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gate schema and rows exactly, fidelity within `GATE_MARGIN`. It demanded all three
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exactly until 2026-08-21 and measured over 32 rollouts it fired zero times —
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0.25 of the reward mass with no gradient in it. The two format clauses are
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still exact: a migration that leaves `value_text` standing, or that loses a
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row, is not a migration and no margin applies to it.
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"""
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from __future__ import annotations
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@@ -27,6 +30,27 @@ STATEMENT_LIMIT = 40
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FORBIDDEN = ("attach", "pragma", "vacuum")
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TOLERANCE = 1e-9
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# How far below perfect per-row fidelity the gate still fires. Six rows of forty.
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#
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# It was zero, and over the 32 rollouts in `outputs/run-20260821-1401` `matched == graded`
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# happened not once: fidelity maxed at 0.875, so a quarter of this environment's reward was
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# a constant. The other two clauses were not the blocker — `schema_ok` held on 25 of 32 and
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# the row count on the same 25.
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#
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# Swept over those 32 rollouts by replaying them (`tools/regate.py`): exact 0/32,
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# margin 0.05 0/32, 0.10 0/32, **0.15 4/32 = 0.125**, 0.20 8/32 = 0.250. And over the probe
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# ladder (`tools/regate_ladder.py`), which is what rules 0.20 out: the naive split — the
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# parser fitted to the five tidy rows on screen, which is precisely the strategy this
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# environment exists to punish — clears a 0.20 gate on 29% of seeds. At 0.15 it clears on
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# one seed in twenty-four, because its luckiest draw of forty awkward rows recomposes 34 of
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# them and 34/40 is 0.850 exactly. That is a knife edge and it is named here so nobody has
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# to rediscover it; `probe.py` asserts the plausible rung stays under a tenth.
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#
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# What 0.15 buys is the rung above: a migration that strips the thousands separator and
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# still mishandles the row with no unit at all — right about the inference, wrong about one
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# shape — goes from clearing the gate on 8% of seeds to clearing it on 96%.
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GATE_MARGIN = 0.15
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@dataclass
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class Outcome:
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@@ -50,7 +74,16 @@ class Outcome:
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@property
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def clean(self) -> bool:
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return self.schema_ok and self.graded > 0 and self.matched == self.graded and self.rows_after == self.rows_before
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"""Schema and row count exactly; fidelity within `GATE_MARGIN` of perfect.
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The margin is on fidelity alone. `schema_ok` is a format precondition and
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`rows_after == rows_before` is what stops `DELETE FROM readings` scoring perfect
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fidelity over an empty table — neither is a matter of degree, and giving either of
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them slack would reopen a hole this environment has already paid for once.
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"""
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return (self.schema_ok and self.graded > 0
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and self.fidelity >= 1.0 - GATE_MARGIN
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and self.rows_after == self.rows_before)
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def _columns(con: sqlite3.Connection) -> set[str]:
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