ai-style-impressions

AI Writing-Style Impressions — itemized, located, ZERO verdict weight (NOT integrity findings)

Surface AI writing-style impressions for: $ARGUMENTS (requires claims.json from /evidence-ledger). Emit span-anchored ai-style-impressions.findings.json. Every finding here is an impression with ZERO verdict weight — this skill proposes no integrity finding and computes no verdict.

⚠️ This is the repo's ONLY non-integrity output, and it is non-integrity by construction. AIS findings are transparent, itemized impressions of AI-generated writing style. The adjudicator (tools/adjudicate_findings.py) gives every AIS finding ZERO verdict weight — it is forced to info, excluded from overall_verdict, and rendered in a separate report section, "AI Writing-Style Impressions — NOT integrity findings · ZERO verdict weight". A paper can be CLEAN_GIVEN_EVIDENCE and still list many AIS impressions. These are not factual/integrity inconsistencies and imply no authorship probability. We are not an opaque AI-text classifier: no scores, never "this is AI-written" / "likely AI-generated". Every finding is a named, located, itemized observation with an fp_case. For authorship detection use a dedicated tool (Pangram / GPTZero / Binoculars) — that is out of scope here, by design.

🔒 Run once per input change; never wrap in /loop, /schedule or CronCreate (${CLAUDE_PLUGIN_ROOT}/support/references/run-cadence.md). Re-run only when the paper or the ledger changes.

Read reference/rationale.md for why this skill exists (the reviewer reactions it names, and why they are not misconduct or authorship evidence); it is background, not procedure.

Core doctrine (the non-negotiables)

Ledger-anchored, span-verified, ZERO verdict weight, NOT an authorship classifier, reviewer ≠ adjudicator. Two passes feed the pipeline:

1. a deterministic pass (no model) — the one objectively computable style signal: a conservative defensive-hedge density screen (AIS-DEFENSIVE-HEDGE), which fires only on a genuine pattern (≥4 distinct strong-template hedge sentences across ≥2 non-excluded sections and ≥25% of all scope sentences). It flags the recurrence of the hedge SHAPE, never who wrote it (tools/check_ai_style.py);
2. a fresh cross-model GROSS-cases-only semantic pass — the 13 judgment-call style tells, each span-anchored, not_integrity_finding: true, false_positive_risk: high, with an fp_case. (AIS-DEFENSIVE-HEDGE is dual: deterministic for the pervasive case above + this semantic pass for the sub-threshold/qualitative posture the density screen misses.)