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experiment-forensics

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Audit experiment integrity against the evidence ledger. At L2 (repo + result files present) a fresh cross-model reviewer reads the eval code line-by-line for fake/derived ground truth, score self-normalization, phantom results (a paper number with no backing file/key), dead/uncalled metric code, verified-scope inflation, method-described ≠ method-evaluated drift, synthesized-looking results, placeholder/fake data still wired into a released result, code-output ≠ reported-number mismatch, and missing reproducibility artifacts (an empirical/agent/LLM paper shipping neither code nor the prompts/configs its results need) — every finding span-anchored to a ledger claim_id. At L0/L1 (PDF / source only) the same patterns are surfaced as info-level 'could-not-verify' signals where the ledger gives an anchor (observability_level_required:2) — NEVER a fraud verdict from a PDF. The reviewer PROPOSES findings; tools/adjudicate_findings.py computes the verdict. Detect-only. Triggers: "experiment forensics", "audit the results", "check the eval code", "实验诚实度".

skills/experiment-forensics/SKILL.md

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# Experiment Forensics — are the reported results what the code computes?

Audit experiment integrity for: **$ARGUMENTS** (a paper-dir or repo-dir; use an
ABSOLUTE path — it is referred to as `TARGET` below). Emit span-anchored
`experiment-forensics.findings.json`.

> 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** It is
> verdict-bearing input — it proposes the findings the deterministic adjudicator
> turns into the report. Re-firing it on a wall-clock timer adds no signal: what
> unlocks new conclusions is a higher **observability level** (a repo / result
> files arriving → L2), not elapsed time. Schedule the *external wait that precedes
> it* — artifacts released → run **once** at the new level. (Mirrors ARIS's
> external-cadence doctrine.)
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