Integrity forensics
Skill wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/integrity-forensics
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
npx -y skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensicsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Run the Anti-Autoresearch integrity-forensics DETERMINISTIC slice (numeric core + rules-only adjudicator) against a paper via a SHA-pinned thin launcher, then convert the verdict into a typed policy gate (BLOCK/WARN/NO_NEW_BLOCKER) and an append-only obligations ledger. Codex-native limitation: upstream ships no Codex-native auditor pack, so the full nine-dimension semantic sweep requires a Claude Code session — this pack runs the honestly-scoped deterministic-only mode (it can flag, it can never say CLEAN). Use when user says "integrity forensics", "forensic audit this paper", "投稿前自查诚信".
SKILL.md
5.8 KB, as published. Nobody here has run it
Integrity Forensics — thin launcher (Codex-native: deterministic slice)
Audit target: $ARGUMENTS
Same launcher doctrine as the mainline skill: SHA-pin, upstream eval-gate validation per pin, delegate unchanged, no vendoring, no forking, no reviewer knobs. The one Codex-native difference: upstream's nine auditor skills are Claude-Code contracts, so this pack runs upstream's deterministic-only mode — the numeric forensic core (GRIM / GRIMMER / statcheck / delta arithmetic) plus the rules-only adjudicator with an all-
review_unavailablecoverage map. That mode is honestly scoped by upstream: it can raise HARD/SOFT flags; it can NEVER returnCLEAN_GIVEN_EVIDENCE. Translating upstream's reviewer calls intospawn_agentwould REWRITE an upstream contract — forbidden.
Constants
- ANTI_AR_REPO =
https://github.com/wanshuiyin/Anti-Autoresearch.git - ANTI_AR_COMMIT =
d8f510c49c29ccb5f98ecb1f8e397a7a27eb97c4— never tracks HEAD; bumping is a reviewed change (mainline Pin-bump checklist). - CLONE_DIR =
~/.claude/anti-autoresearch - NO REVIEWER KNOBS — and no
— effort:mapping onto upstream settings.
Step 0 — Bootstrap the pin (identical to mainline)
CLONE_DIR="$HOME/.claude/anti-autoresearch"
ANTI_AR_COMMIT="d8f510c49c29ccb5f98ecb1f8e397a7a27eb97c4"
if [ ! -d "$CLONE_DIR/.git" ]; then
git clone --no-checkout https://github.com/wanshuiyin/Anti-Autoresearch.git "$CLONE_DIR"
fi
git -C "$CLONE_DIR" cat-file -e "$ANTI_AR_COMMIT^{commit}" 2>/dev/null \
|| git -C "$CLONE_DIR" fetch -q origin
git -C "$CLONE_DIR" checkout -qf "$ANTI_AR_COMMIT" || { echo "FATAL: cannot checkout pin"; exit 1; }
# pristine tree at the pin — local tampering (incl. nested-repo injections;
# hence double -f) must not run under the pin's name; verify, don't assume
git -C "$CLONE_DIR" reset --hard -q "$ANTI_AR_COMMIT" || { echo "FATAL: reset failed"; exit 1; }
git -C "$CLONE_DIR" clean -ffdxq || { echo "FATAL: clean failed"; exit 1; }
[ -z "$(git -C "$CLONE_DIR" status --porcelain)" ] || { echo "FATAL: tree not pristine"; exit 1; }
# marker OUTSIDE the clone (a marker inside a tamperable tree proves nothing)
MARKER="${CLONE_DIR}.aris_eval_ok_${ANTI_AR_COMMIT}"
if [ ! -f "$MARKER" ]; then
( cd "$CLONE_DIR" && python3 eval/run_eval.py ) || {
echo "FATAL: upstream eval gate FAILED at pin — refusing an unvalidated pin"; exit 1; }
touch "$MARKER"
fi
Step 1 — Delegate: upstream deterministic-only mode, unchanged
Open $CLONE_DIR/workflows/anti-autoresearch/SKILL.md and follow its
deterministic-only path (its own documented degraded mode): Step 0 ingest →
Step 1 evidence ledger → deterministic auditors → adjudication with the
generated all-review_unavailable coverage map. Wrapper rules: run every
upstream bash block with cd "$CLONE_DIR" (upstream self-locates via
git rev-parse --show-toplevel); refer to the paper by ABSOLUTE path; never
rewrite upstream outputs.
Expected outcome: report.json whose verdict is HARD_FLAGS / SOFT_FLAGS /
REVIEW_UNAVAILABLE — by construction never CLEAN_GIVEN_EVIDENCE.
Step 2 — Typed gate + obligations
Resolve forensics_gate.py via the canonical helper chain
(shared-references/integration-contract.md §2, Policy A), then:
python3 "$GATE_HELPER" evaluate --report "$PAPER_DIR/report.json" --paper-dir "$PAPER_DIR" \
--anti-ar-commit "$ANTI_AR_COMMIT" --executor-model "codex-gpt-5.6-sol"
Policy: HARD_FLAGS → BLOCK · REVIEW_UNAVAILABLE → BLOCK (which a
deterministic-only run reports whenever it found no flags — the semantic
dimensions never ran, so nothing may wave the paper through) · SOFT_FLAGS →
WARN. The gate records same-family proposal provenance for a Codex
executor — informational: this gate only raises flags, it grants nothing.
The downstream preflight is ONE command:
python3 "$GATE_HELPER" fresh --paper-dir "$PAPER_DIR" --anti-ar-commit "$ANTI_AR_COMMIT"
— exit 0 ⟺ produced at the current pin ∧ gate
exists ∧ paper unchanged since ∧ gate matches the current ledger ∧ decision
pass-capable (WARN/NO_NEW_BLOCKER), where the decision is RE-computed from
the sha-verified archived report + live ledger (the stored token is display,
not authority). Any ledger mutation deletes the standing gate.json, and
evaluate refuses a report older than any paper file — neither a stale pass
nor a stale report can be replayed.
Step 3 — Fix what it found
Identical obligations discipline to the mainline skill: append-only ledger,
UNRESOLVED_DISAPPEARANCE on vanished-but-unresolved findings, typed + hashed
resolve receipts (corrected-from-results | claim-narrowed | claim-withdrawn | citation-replaced; --verified-by must be typed provenance —
human:<name> / checker:<tool> / cross-family-review:<thread-id> — and
the evidence file is RE-hashed on every later gate), human-only waive
(never a resolution), and The One Forbidden Loop: never "edit → re-sweep
→ repeat until it stops flagging".
Numeric obligations route to the result files; the rest to the matching audit
skill or the human.