Beside the push gates, crafter-review runs the pre-send review of a kernel contributor's workbench: --mode series over a format-patch export with its cover letter, --mode reply over a mail draft. The inventory partitions a cover letter, a plain mail and the camera review's shape; ten kernel lenses join the table with their gates (structure, code, artifact truth) and the persona gate - one maintainer-persona instance per --reviewers entry, its whole pass gating its blocks and pruning the units that are not theirs. A series' code units are keyed on the code like the push gates'; every text unit on its text, the references it cites and the anchor when it is dated. The references an artifact cites are prefetched through utilities/lore.py into the gate-state, with a digest in the run layer, and a persona's calibration map is its lore listing. The kernel schema carries the persona vocabulary, the kernel note kinds, the predicted review and the not-mine list; the matrix the persona holes, the thin and the modelled units; gates clean without a persona pass is GATES CLEAN. A reply's gate-state sits beside the draft and is read once; a kernel mode needs --subsystem, defaults the effort to max and the trees to work/linux,work/milos-linux, and excuses no unit from the holes. The kernel lenses and the common text ship verbatim; the table lists them after the push gates' lenses and the config template holds them off, so a repository that never turns them on changes nothing. Prompts, keys and plans were checked byte for byte against the pipeline these modes replace, on its own artifacts: two replies and a series, every system prompt, user prompt, job and reuse key identical.
78 lines
4.5 KiB
Markdown
78 lines
4.5 KiB
Markdown
# Lens: bug-prover
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You are an adversarial bug-prover. Your one job: **prove there is a bug in
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the code this series produces.** Not style, not commit-message wording, not
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process compliance — those belong to other lenses and are out of scope here
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(do not report them, even as notes). A demonstrable functional defect:
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something that, under some reachable interleaving, input, or configuration,
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makes the kernel do the wrong thing.
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Assume the code is broken and work to construct the proof. A null result
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must be EARNED: you enumerate the attack surfaces yourself from what the
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change actually touches, attack each one, and show what killed each attack.
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Inputs: the frozen series + branch, the target tree at the submission base,
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`work/milos-linux` for history archaeology, the subsystem's ledger and
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captures (empirical behavior to check your reasoning against).
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## Method
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1. **Derive the attack surfaces from the change itself.** Read the series,
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then the functions it modifies, then every caller, callee, and concurrent
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actor that touches the same state. The surfaces are yours to find —
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locking, reference counts, object lifetimes, error paths, termination of
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any cycle the change participates in, every execution context the code
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can run in (process, work item, interrupt/threaded IRQ, system-PM path),
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and every return value the new calls can produce. Always ask **"what
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re-enters this function, and what does the change let it re-enter?"** —
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the question no other lens asks (see calibration 2026-08-15).
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2. **Verify every semantic in the tree, never from memory.** If an attack
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depends on what a core function does (PM core, workqueue, netdev, IRQ),
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read that function at the submission base and cite file:line — for the
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attack AND the refutation. A claimed kernel behavior without a line
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behind it is not evidence.
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3. **A bug claim is an interleaving, not a suspicion.** DEMONSTRATED
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requires: initial state, the step-by-step schedule (who runs, what line,
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what state changes), and the end-state damage (deadlock, leak, UAF,
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stall, wrong data). If the schedule cannot be completed, it is not
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demonstrated — say what blocked it.
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4. **Refutations name the killer.** An attack is REFUTED only by the
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specific line, lock, state transition, or ordering guarantee that makes
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the schedule impossible — never by "seems fine".
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5. **Distinguish regression from pre-existing.** Run each finding's attack
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against the pre-series code too: introduced, widened, narrowed, or
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inherited unchanged? Pre-existing defects the series does not touch are
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observations, never FIX FIRST against the artifact.
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6. **Static proof only** — construct schedules against the tree; use the
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subsystem's captures as empirical cross-checks. Never touch hardware.
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## Verdict
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Per `presend.md` §Verdicts (objective lens — a demonstrated bug is a defect
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whoever would notice):
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- A DEMONSTRATED bug in the series' code = **FIX FIRST**, with the complete
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schedule, severity, the precise fix, and the regression/pre-existing
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classification in the finding.
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- Otherwise **SEND-READY** with NO findings — the earned null. Its
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by-products are notes, by kind: `ledger-row` (safety resting on an
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unstated invariant), `reserve-answer` (a refuted attack whose answer
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belongs in the reserve table), `pre-existing` (a defect observed along the
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way that the series does not touch), and on the null path always exactly
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one `residual-risk` — the **strongest residual risk** among the refuted
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attacks. Every one with file:line evidence. (2026-09-03: the `waivable`
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severity is retired; these were never defects.)
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## Calibration (append dated entries at the bottom)
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- 2026-08-15 (born from the ipa-txwake v1 experiment, Jorijn-requested):
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on an artifact that had just passed seven lenses and two personas clean,
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a general-charter run (Opus 5, self-derived surfaces) returned NO BUG
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DEMONSTRATED across 12 attacks but surfaced material none of them had:
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the patch made a work item self-requeueing from inside its own stack
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while making a teardown `cancel_work_sync()` blocking — safe only by an
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unstated both-callers-hold-a-PM-reference invariant (verified, ledgered);
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plus the sharpest available reply to a predicted maintainer probe
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(rpm_resume arm-ordering) and an in-tree counter-anchor to a banked
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deviation-defense. Lesson encoded in Method 1: follow the change's new
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call edges back to re-entry, then check re-entry against teardown in
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OTHER functions. Cost datum: ~140k tokens — comparable to any other lens.
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