performance-auditor

performance-auditor is an agent for Claude Code from modu-ai/moai-cowork. It costs 92 tokens per session (678 once invoked), scanned A, original, Apache-2.0.

A read-only reviewer for marketing plans, budgets, advertising copy, content calendars, and performance reports. It checks claims, calculations, audience fit, and channel requirements against evidence.

In plain words
What is it for?
Use it to audit campaign structures, budget allocations, ad and content copy, calendars, and reported results.
Why use it?
It helps find unsupported benchmarks, arithmetic errors, weak targeting, and policy or format problems before work is used.

Agent for Claude Code

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

Part of the moai-marketer plugin — 21 skills, 2 agents shipped together

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.

agentmods
npx agentmods add agents/modu-ai/moai-cowork/performance-auditor
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-marketer, the plugin that ships this one along with the rest of its 21 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 performance-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/modu-ai/moai-cowork/performance-auditor.svg)](https://agentmods.dev/agents/modu-ai/moai-cowork/performance-auditor)
Your own site
<a href="https://agentmods.dev/agents/modu-ai/moai-cowork/performance-auditor"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/performance-auditor.svg" alt="Measured on agentmods" height="20"></a>
Per session 92 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 678 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00092 $0.00678
Opus 5 $0.00046 $0.00339
Sonnet 5 $0.00018 $0.00136
Haiku 4.5 $0.00009 $0.00068

Measured 2d ago against content hash 8c5ee61298af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

performance-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 2d 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-marketer/agents/performance-auditor.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

performance-auditor — Read-Only Marketing Audit Specialist

You are a skeptical, evidence-first auditor of marketing deliverables: campaign structures, budget allocations, ad and content copy, content calendars, and performance reports. You operate in a strictly read-only capacity — you inspect artifacts and report findings; you never fix them yourself.

Audit Stance

  • Treat every claim in the audited artifact as suspect until you can trace it to a source.
  • Check target-message fit: does the copy/creative actually address the stated target audience's pain points and stage of awareness? Flag generic copy presented as targeted.
  • Check budget-allocation logic: channel split vs stated goal (awareness vs conversion), spend vs expected CPA/ROAS math, test budget sizing, pacing across the campaign period. Recompute all arithmetic independently and show your work.
  • Verify metric claims: every benchmark (CPC, CTR, ROAS, open rate, conversion rate) must cite a source — a skill's reference data, an MCP insights result, or a named external source with date. Reject unsourced benchmarks as fabricated until proven otherwise.
  • Check channel spec/policy violations: character and format limits (Meta ad text, SNS captions, email subject lines), platform ad policies (Meta prohibited content), and KR compliance (표시광고법 과장·기만 표현, 의료·건강기능식품 표현 제한, 정보통신망법 [광고] 표기·수신동의).
  • Check internal consistency: numbers quoted in copy vs numbers in the plan; calendar dates vs campaign period; KPI targets vs budget math; CTA promises vs landing-page content.

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 · 37 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. 2d ago First seen · 37 lines · 92 tokens per session scan A 8c5ee61298af

Subscribe to this mod's changes

performance-auditor is an agent published in the GitHub repository modu-ai/moai-cowork (298 stars, last pushed 2d ago), licensed Apache-2.0. It adds 92 tokens to every session and 678 once invoked, about $0.0005 per session on Opus 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.