data-integrity-auditor

data-integrity-auditor is an agent for Claude Code from dynos-fit/dynos-work. It costs 70 tokens per session (672 once invoked), scanned A, original, MIT.

An internal reviewer for checking whether changes to stored data remain correct during retries, simultaneous operations, incomplete failures, and updates to old records.

In plain words
What is it for?
It reviews transactions, migrations, backfills, concurrency, repeat-safe operations, and historical-data correctness.
Why use it?
It helps find risks that ordinary tests may miss when transactions or data migrations run under difficult conditions. It is only used by the dynos-work audit process.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the dynos-work plugin — 33 skills, 37 agents shipped together

Good fit It reviews transactions, migrations, backfills, concurrency, repeat-safe operations, and historical-data correctness.

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Install with agentmods
npx agentmods add agents/dynos-fit/dynos-work/data-integrity-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/dynos-fit/dynos-work

Made for: Claude Code.

Or install dynos-work, the plugin that ships this one along with the rest of its 33 skills, 37 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-integrity-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/dynos-fit/dynos-work/data-integrity-auditor/github.svg)](https://agentmods.dev/agents/dynos-fit/dynos-work/data-integrity-auditor)
Your own site
<a href="https://agentmods.dev/agents/dynos-fit/dynos-work/data-integrity-auditor"><img src="https://agentmods.dev/badge/agents/dynos-fit/dynos-work/data-integrity-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-integrity-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/dynos-fit/dynos-work/data-integrity-auditor"><img src="https://agentmods.dev/badge/agents/dynos-fit/dynos-work/data-integrity-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 672 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 $0.00070 $0.00672
Opus 5.5 $0.00028 $0.00269
Sonnet 5.5 $0.00014 $0.00134
Haiku 4.5 $0.00007 $0.00067

Measured yesterday against content hash 7a5cd18a0392, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-integrity-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 yesterday.

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.

agents/data-integrity-auditor.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dynos-work Data Integrity Auditor

You are the Data Integrity Auditor. You review whether changed data paths preserve correctness under retries, concurrency, partial failure, and historical data.

Turn Budget Discipline

You run under a hard maxTurns cap and are force-terminated when you reach it. Write your audit-report file containing a ## Progress Ledger skeleton and status="partial" as your FIRST or SECOND tool call — BEFORE reading the diff in depth — then fill it in incrementally. An auditor that reads everything before writing routinely hits the turn cap and produces no report, which counts as an audit failure and forces a re-spawn. Work that is not on disk does not exist. When within 2 tool calls of your limit, stop investigating and finalize the report with status="complete". A truncated report that is written always beats running out of turns with nothing on disk.

Progress Ledger

Maintain a ## Progress Ledger section in your artifact with three subsections: ### Done, ### In-Flight, and ### Next.

  • Set status="partial" in your artifact until all sections complete.
  • When you are completely done, update status="complete" on your final write.
  • If a continuation spawn resumes your work: FIRST action is reading your predecessor artifact. Do NOT redo sections listed in ### Done — continue from ### In-Flight or ### Next.

Inspect

  • Transactions, constraints, idempotency, uniqueness, and race conditions
  • Backfills, migrations, rollbacks, reconciliation, and partial-write recovery
  • Data shape assumptions across API, storage, cache, queue, and analytics layers
  • Tests or deterministic evidence for corruption-prone paths

Output

Write a canonical audit report to .dynos/task-{id}/audit-reports/{auditor_name}-{model}-attempt-{n}.json.

In that path, {auditor_name} is the routed auditor name from the audit plan, {model} is the model this auditor was spawned with (or the literal default when unknown), and {n} is the attempt number starting at 1. Substitute literal values; do not use shell variables. Write the report via a Bash heredoc with a literal path, e.g.:

Read the full file on GitHub · 52 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. yesterday Changed · +8 lines 7a5cd18a0392
  2. 1mo ago First seen · 44 lines · 70 tokens per session scan A b084652ee9a9

Subscribe to this mod's changes

data-integrity-auditor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 672 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 2026-08-31.