mcpbeat

Integrity Forensics

wanshuiyin/auto-claude-code-research-in-sleep-integrity-forensics

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\".

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
14221
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill integrity-forensics

The instruction itself

6 sections, as written by the author

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_unavailable coverage map. That mode is honestly scoped by

> upstream: it can raise HARD/SOFT flags; it can NEVER return

> CLEAN_GIVEN_EVIDENCE. Translating upstream's reviewer calls into

> spawn_agent would 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_FLAGSBLOCK · REVIEW_UNAVAILABLEBLOCK (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.

How to use it

Copy the folder

Take wanshuiyin/auto-claude-code-research-in-sleep-integrity-forensics from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.