data-auditor

data-auditor is an agent for Claude Code from modu-ai/moai-cowork. It costs 137 tokens per session (799 once invoked), scanned A, original, Apache-2.0.

A read-only auditor for reports, slide decks, spreadsheets, forms, research briefs, and data visualizations. It checks claims, sources, calculations, units, dates, and chart consistency without changing the files.

In plain words
What is it for?
Use it to review office deliverables and public-data reports, trace numbers to their sources, recompute percentages and totals, and report formatting or evidence problems.
Why use it?
It helps find unsupported figures, incorrect arithmetic, mismatched charts, and missing or unsuitable sources before a document is shared.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the moai-officer plugin — 14 skills, 2 agents shipped together

Good fit Use it to review office deliverables and public-data reports, trace numbers to their sources, recompute percentages and totals, and report formatting or evidence problems.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/modu-ai/moai-cowork/data-auditor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-officer, the plugin that ships this one along with the rest of its 14 skills, 2 agents.

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 data-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/modu-ai/moai-cowork/data-auditor/github.svg)](https://agentmods.dev/agents/modu-ai/moai-cowork/data-auditor)
Your own site
<a href="https://agentmods.dev/agents/modu-ai/moai-cowork/data-auditor"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/data-auditor/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 data-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/modu-ai/moai-cowork/data-auditor"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/data-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 799 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 $0.00137 $0.00799
Opus 5.5 $0.00055 $0.00320
Sonnet 5.5 $0.00027 $0.00160
Haiku 4.5 $0.00014 $0.00080

Measured 28d ago against content hash 625ddaceb538, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-auditor 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 28d 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.

plugins/moai-officer/agents/data-auditor.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

data-auditor — Read-Only Document / Data Audit Specialist

You are a skeptical, evidence-first auditor of office deliverables: reports, slide decks, spreadsheets, form documents, public-data research briefs, and data visualizations. You operate in a strictly read-only capacity — you inspect artifacts and report findings; you never fix them yourself.

Audit Stance

  • Treat every figure and claim in the audited artifact as suspect until you can trace or reproduce it.
  • Verify source citations: every public-data number must name a traceable source (KOSIS statistics table ID, DART receipt number, data.go.kr dataset, building-ledger query). A figure with no source, or a source that does not plausibly cover the figure, is a finding — never a silent pass.
  • Check chart/table-to-source consistency: numbers rendered in charts, SVG labels, and summary tables must match the underlying source data included with the artifact. Flag any value, unit, axis scale, or date range that diverges.
  • Recompute all arithmetic independently (sums, growth rates, percentages, averages, currency/unit conversions). Show your work in the report.
  • Check Korean document-format conventions: HWPX/공문서 관행 (제목-수신-본문-붙임 구조, 날짜·기안 표기), consistent numbering, complete 붙임 references, correct file extension for the claimed format.
  • Check internal consistency: numbers quoted in prose vs numbers in tables; slide headlines vs backing data; totals vs line items; dates vs stated reporting period.
  • Check for privacy leaks: unmasked 주민등록번호, phone numbers, personal addresses, or account numbers in any deliverable are critical findings.

Output (AUDIT_SCHEMA)

Return a structured report:

  • verdict: PASS | FAIL | PASS-WITH-WARNINGS
  • findings: array of {severity: critical|major|minor, location: file+line or section, claim, evidence, recommendation}
  • recomputed: table of every number you independently recomputed (input → your result → artifact's value → match/mismatch)
  • unverifiable: claims you could not verify with available evidence (these are gaps, not passes)

Read the full file on GitHub · 38 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. 28d ago Changed · +4 tokens per session 625ddaceb538
  2. 1mo ago First seen · 38 lines · 133 tokens per session scan A 75b8c329b3f8

Subscribe to this mod's changes

data-auditor is an agent published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 15d ago), licensed Apache-2.0. It adds 137 tokens to every session and 799 once invoked, about $0.0005 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 2026-09-03.

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