anti-autoresearch

anti-autoresearch is a skill for Claude Code from wenhaochai/claude-plugins. It costs 82 tokens per session (9,225 once invoked), scanned A, original, MIT.

A complete review workflow for checking the substantive integrity of a research paper, especially papers produced by automated research systems. It gathers the paper's evidence and produces findings for a human reviewer.

In plain words
What is it for?
Use it to inspect a paper from an arXiv ID, PDF, or directory and create an evidence-based integrity report.
Why use it?
It helps uncover unsupported claims, missing evidence, and errors in a paper or its accompanying code. It is decision support, not an AI-writing detector or a misconduct judgement.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Codex.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the anti-autoresearch plugin — 13 skills shipped together

Good fit Use it to inspect a paper from an arXiv ID, PDF, or directory and create an evidence-based integrity report.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add wenhaochai/claude-plugins
Claude Code
/plugin install anti-autoresearch

Made for: Claude Code.

Or install anti-autoresearch, the plugin that ships this one along with the rest of its 13 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for anti-autoresearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/wenhaochai/claude-plugins/anti-autoresearch/github.svg)](https://agentmods.dev/skills/wenhaochai/claude-plugins/anti-autoresearch)
Your own site
<a href="https://agentmods.dev/skills/wenhaochai/claude-plugins/anti-autoresearch"><img src="https://agentmods.dev/badge/skills/wenhaochai/claude-plugins/anti-autoresearch/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for anti-autoresearch

Your own site · 80×15
<a href="https://agentmods.dev/skills/wenhaochai/claude-plugins/anti-autoresearch"><img src="https://agentmods.dev/badge/skills/wenhaochai/claude-plugins/anti-autoresearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,225 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.09225
Opus 5.5 $0.00033 $0.03690
Sonnet 5.5 $0.00016 $0.01845
Haiku 4.5 $0.00008 $0.00923

Measured 24d ago against content hash bcba62b196b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

anti-autoresearch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 24d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

anti-autoresearch/skills/anti-autoresearch/SKILL.md · 492 lines

How it starts

The opening of the file, as written. The whole thing — 492 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/anti-autoresearch — the orchestrator

Run a full substantive-integrity forensic pass on $ARGUMENTS and hand a human reviewer / area chair an evidence-first Integrity Forensics Report.

🔒 External cadence: the verdict is not a poll. The pipeline is the verdict-producing path — its output changes only when the paper / repo / ledger changes, not with the clock. Do not wrap /anti-autoresearch (or any auditor sub-skill) in /loop / /schedule / CronCreate to "re-check". A heartbeat may only wait on the external steps that precede the verdict (an arXiv download, a citation web lookup) — never re-fire the adjudicated verdict, and never "decide the paper is fine now." Re-run the sweep when the inputs change; that is the only honest trigger.

Read reference/rationale.md for background: why this orchestrator exists and how it is the outward-facing dual of ARIS.

Pipeline role (what this run does, and never does)

The one-page stage diagram (ingest → ledger → auditors → memos → adjudicate → present) is in reference/pipeline-diagram.md.

  • Auditors propose; the adjudicator decides. No auditor (and not this orchestrator) ever computes overall_verdict; only tools/adjudicate_findings.py does, by fixed rules (references/reviewer-independence.md Layer 2; DESIGN.md §3).
  • Detect-only. No step ever edits the audited paper or repo. This is a third-party forensics tool, never a co-author (no Edit is granted; the reviewer sandbox is read-only).
  • Observability caps everything. L0 (PDF-only) / L1 (source) cannot assert code/result-level fraud — those need L2 (repo + results). The adjudicator demotes any finding above the run's level (references/observability-levels.md; DESIGN.md §4).

Constants & conventions

REVIEWER_MODEL     = gpt-5.5  (via mcp__codex__codex) — a DIFFERENT model family from the executor (Claude)
REVIEWER_REASONING = xhigh    — always; the effort knob never lowers reviewer quality
REVIEWER_SANDBOX   = read-only — detect-only; the reviewer never mutates the paper
THREAD_POLICY      = FRESH mcp__codex__codex per dimension / per cited key; NEVER codex-reply across them
                     (codex-reply is deliberately NOT in allowed-tools — the bias guard)
RUN_THREADS        = serial   — one codex thread at a time; concurrent codex MCP calls can hang
LEDGER_VERSION     = 0.1       (stamped by tools/build_claim_ledger.py)
TAXONOMY_VERSION   = 0.5       (references/hack-pattern-taxonomy.md; 46 integrity patterns A–H + 13 AIS impressions + 2 ADV advisory; stamped into every report)
OBSERVABILITY      = derived   L0 (pdf/text) · L1 (latex, no results) · L2 (repo + results); L3 NEVER (no reproduction)
ADJUDICATOR        = deterministic-rules-v0   (tools/adjudicate_findings.py — the ONLY verdict source)
DETECT_ONLY        = true · EMITS_VERDICT = true (computed by code, not by a model)
REAL TOOLS (resolve ROOT="${CLAUDE_PLUGIN_ROOT}/support"):
   tools/build_manifest.py · tools/build_claim_ledger.py · tools/check_numeric_consistency.py
   · tools/check_presentation.py · tools/adjudicate_findings.py   (confirm flags with --help; never invent flags)
OUTPUTS (in PAPER_DIR) — artifact_manifest.json · claims.json · <skill>.findings.json (+ *.deterministic.findings.json)
   · adversarial-case-builder.memo.md · report.json · REPORT.md · .aris/traces/<skill>/<date>_run<NN>/

Read the full file on GitHub · 492 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 24d ago Changed · -406 lines bcba62b196b3
  2. 1mo ago Changed · -193 tokens per session 119dba519939
  3. 1mo ago Changed 5f001fda1403
  4. 1mo ago Changed affcf064f6f1
  5. 1mo ago First seen · 898 lines · 275 tokens per session scan A b92da66e7348

Subscribe to this mod's changes

anti-autoresearch is a skill published in the GitHub repository wenhaochai/claude-plugins (18 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 9,225 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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