feat(scanners): a redundancy claim that belongs to one model is scoped to it
Anthropic documents that Claude Opus 5 verifies its own work, and that telling it to double-check or to delegate verification to a subagent causes over-verification -- token cost with no quality gain. The general subtraction detector (BP-SUB-001) already surfaces those blocks for every user, with no model-awareness at all. `optimize --subtract --for-model <name>` adds the missing half. It ANNOTATES a subset of the candidates --subtract already produced; it is not a second detector and can never widen the candidate set. A second SUBTRACT_DETECTORS entry would have collided with BP-SUB-001 on de-dup, and a prose-only signal in the agent prompt would have been untestable. There is no auto-detection, by measurement rather than omission: a CLAUDE.md has no frontmatter and no resolvable target model, and this operator's own `route` skill deliberately runs a different model per session -- the same file is read by whichever model comes next. So the model is named, and the citation is reported as conditional everywhere a human sees it (agent report copy, and the Step 7a listing that is the last surface before an approval file). Precision comes from the TARGET, not the verb list. Measured across the 409-file corpus: 392 BP-SUB-001 candidates, 31 (7.9%) carry a verify verb, and 0 also carry a reflexive or delegated target. Two independent raw-text greps found 0 as well, so the zero is the corpus rather than an over-narrow regex. Those 31 verb-only blocks -- "sjekk relevante config-filer", "Type-sjekk: pyright", "To verify plugin functionality" -- are exactly the false positives a verb-only version would have produced, which is BP-JUDG-001's 7/7 failure arriving one lens over. The numbers live in the register entry's note and are pinned by a test, because a session that cannot see the measurement reads the zero as a broken detector and loosens it. `recognized` is reported separately from `matchedCount`: a typo'd model name and a genuinely clean config both yield zero, and without the distinction the CLI would report a silent no-op as good news. Dogfooded on the real machine -- `opus-5` gives recognized:true/matchedCount:0, `oppus5` gives recognized:false. source.published is absent because the guide carries no visible publish date; its absence is asserted so a later session does not invent one to match the other entries' shape. Both quoted sentences were verified verbatim 2026-08-12. The payload stays additive -- forModel and per-candidate modelScope appear only under the flag, so a plain --subtract run is byte-identical to before (asserted on the serialized bytes, since a key set to undefined passes a shallow check). Suite 1724 -> 1752 (+28). The one remaining failure is the pre-existing drift-cli --output-file crash, untouched by this work. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BRuXt6tZyowi8QYNKLSHQm
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@ -38,8 +38,8 @@ whether the line is *really* that kind of instruction:
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## The subtraction lens (`--subtract` only)
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Present only when the payload has a `subtract` block. It asks the inverse of
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every other lens: *what is no longer earning its always-loaded rent?* Three
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things make it different, and all three are non-negotiable.
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every other lens: *what is no longer earning its always-loaded rent?* Four
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things make it different, and all four are non-negotiable.
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**1. The floor is not yours to decide.** A deterministic pre-step has already
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excluded every block carrying a local fact — a code span, path, domain, version
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@ -64,6 +64,15 @@ earned its place — its subject matter recurs in the repo's own history — is
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2 even when its classification is "compensatory". Reporting it as dead weight is
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wrong even though the label matches.
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**4. A model-scoped citation is conditional, never authoritative.** When a
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candidate carries `modelScope` (only under `--for-model`), apply the SAME tier-2
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/ tier-3 judgement as any other `compensatory-instruction` candidate — the model
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tag sharpens the citation, it does not bypass precision rule 1. State it as
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conditional in the report copy ("redundant if targeting {model}; this operator
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may run other models in other sessions"), never as a settled fact for all future
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sessions. The tag is an annotation on a candidate the general detector already
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found; it is not evidence that the block is dead.
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Rank kept candidates by always-loaded token cost, and state the total payoff.
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Frame it as *rent*, never as a mistake: this config was correct when written.
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@ -82,6 +91,12 @@ You receive an `optimize-lens` payload (JSON) with:
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register, detectors }`. Each candidate spans `line`–`endLine` (a whole leaf
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block, not one line) and carries `signalText` plus the BP-SUB-001 register
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block. Everything load-bearing was already removed before you saw this.
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Under `--for-model <name>` the block also carries `forModel`
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(`{ requested, recognized, matchedCount }`), and a SUBSET of its candidates
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carry `modelScope` (`{ registerId, claim, requestedModel }`). If
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`recognized` is `false`, the operator named a model the register does not
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cover — say so, and do not treat the absence of tags as evidence of a clean
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config.
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Always **Read the actual CLAUDE.md file(s)** named in the candidates before
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judging — `signalText` is one line out of context; the surrounding lines decide
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@ -150,6 +165,8 @@ to return) — ranked by token cost, with a payoff total. For each:}
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**{file}:{line}-{endLine}** — {what the block says, in one line} · ~{N} tok/turn
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Tier: {dead | earned — and why}
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Source: {register.source.url}
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Model-scoped: {only if the candidate carries `modelScope`} {claim}, for
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{requestedModel} (conditional — verify this is still the model you target)
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```
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Omit any section with zero kept findings (except keep the "left alone" note when
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