consistency-audit

consistency-audit is a skill for Claude Code from wenhaochai/claude-plugins. It costs 133 tokens per session (10,242 once invoked), scanned A, a copy of consistency-audit, MIT.

A check of whether a research paper contradicts itself or describes a method that differs from the one it actually evaluates.

In plain words
What is it for?
It reviews claims across the abstract, introduction, tables, main text, and appendix, checks arithmetic, and produces findings linked to evidence locations in the paper.
Why use it?
It finds internal inconsistencies using the paper itself, without needing outside facts or a separate reference answer.

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 — 12 skills shipped together

Good fit It reviews claims across the abstract, introduction, tables, main text, and appendix, checks arithmetic, and produces findings linked to evidence locations in the paper.

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 12 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 consistency-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/wenhaochai/claude-plugins/consistency-audit/github.svg)](https://agentmods.dev/skills/wenhaochai/claude-plugins/consistency-audit)
Your own site
<a href="https://agentmods.dev/skills/wenhaochai/claude-plugins/consistency-audit"><img src="https://agentmods.dev/badge/skills/wenhaochai/claude-plugins/consistency-audit/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 consistency-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/wenhaochai/claude-plugins/consistency-audit"><img src="https://agentmods.dev/badge/skills/wenhaochai/claude-plugins/consistency-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,242 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 97% copy Near-identical to another mod 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 $0.00133 $0.10242
Opus 5 $0.00067 $0.05121
Sonnet 5 $0.00027 $0.02048
Haiku 4.5 $0.00013 $0.01024

Measured 9d ago against content hash e878b57066d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

consistency-audit 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 9d 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.

Origin

This is a copy

97% identical to consistency-audit — 66 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

anti-autoresearch/skills/consistency-audit/SKILL.md · 652 lines

How it starts

The opening of the file, as written. The whole thing — 652 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Consistency Audit — the paper vs itself

Audit intra-paper self-consistency for: $ARGUMENTS (requires claims.json from /evidence-ledger). Emit span-anchored consistency-audit.findings.json; the deterministic adjudicator — not this skill — computes the verdict.

🔒 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: its output changes only when the paper / ledger changes, not with the clock. Schedule the external wait that precedes it — ledger built → audit once. (Mirrors ARIS's external-cadence doctrine.)

The flagship instrument. Internal contradiction is the single most defensible thing you can check on an unknown submission: it needs no external GT, runs at L0 (PDF-only), and is exactly where machine-generated papers crack — they hallucinate local coherence. Recall scales with the ledger: a PDF-text (L0) ledger extracts only number/scope spans, so the table/caption/method-drift checks gain teeth at L1 (LaTeX), where tables and captions are actually extracted. Adapted from ARIS paper-claim-audit, reframed from "paper vs result files" to "paper vs itself." There is no external ground truth in this skill.

Why this exists

An autoresearch pipeline (or rushed human) writes the abstract, the tables, the method section, and the appendix in separate passes and never reconciles them. The result is a paper that disagrees with itself:

  • abstract quotes 85.3% accuracy; the best row of its own Table 2 is 84.7%;
  • "improves by 16%" when 73.1 → 78.0 is +6.7% relative / +4.9 points;
  • "mean over 5 seeds" where the number is the single best seed, and N=3 in the table;
  • method section says "no test-time labels"; the experimental-setup paragraph loads gold labels for calibration;
  • "comprehensive evaluation across diverse benchmarks" on two datasets, one domain.

Read the full file on GitHub · 652 lines

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. 9d ago First seen · 652 lines · 133 tokens per session scan A e878b57066d9

Subscribe to this mod's changes

consistency-audit is a skill published in the GitHub repository wenhaochai/claude-plugins (16 stars, last pushed 9d ago), licensed MIT. It adds 133 tokens to every session and 10,242 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to consistency-audit, differing in 66 lines, and is treated as a copy.

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