presentation-signals

Presentation Signals — the surface tells (auxiliary, never a verdict)

Run surface signal checks for: $ARGUMENTS (requires claims.json from /evidence-ledger). Emit span-anchored presentation-signals.findings.json. This skill computes no verdict.

⚠️ This skill is deliberately weak by design. A polished paper can be fraudulent and a rough paper can be honest, so surface signals must never drive a verdict. Everything here is emitted under skill presentation-signals, which the adjudicator caps at minor (SURFACE_ONLY_SKILLS + SURFACE_PATTERNS in tools/adjudicate_findings.py) — at most SOFT_FLAGS, never HARD_FLAGS. This is not an AI-text classifier; for authorship detection use a dedicated tool (Pangram / GPTZero / Binoculars). Our only job is to add "combine with the substantive findings and look closer" context. See references/hack-pattern-taxonomy.md §F.

🔒 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.

Why this exists (reviewer-noticed surface tells; real but weak evidence; context for the substantive auditors, never standalone): read reference/rationale.md when you need the rationale.

Core principle

Ledger-anchored, span-verified, capped-at-minor, reviewer ≠ adjudicator, NOT a detector. Two passes feed the pipeline:

1. a deterministic pass (no model) — the objective, reproducible surface signals computable without judgment: duplicate tables (HP-DUP-TABLE) and leftover pipeline/ template strings (HP-PIPELINE-ARTIFACT);
2. a fresh cross-model GROSS-cases-only semantic pass — the three judgment-call signals (HP-THIN-FLOAT, HP-LLM-FIGURE, HP-PAGE-PADDING), each span-anchored and tagged false_positive_risk: high.

Both emit findings conforming to schemas/finding.schema.json. Every above-info finding cites a ledger claim_id + a verbatim span (references/integrity-forensics-contract.md rules 1–2). Because the ledger holds only checkable claims (numbers, scope, captions, citations, table cells) and almost no free prose, a surface signal that cannot land on an extracted claim stays info — a note, never a flag. That is the design working: a free-prose surface impression that lands on no extracted claim structurally almost never becomes even a minor flag. The model proposes; tools/adjudicate_findings.py decides (references/reviewer-independence.md Layer 2). This skill computes no verdict.