audit-meta

audit-meta is an agent for Claude Code from naveedharri/benai-skills. It costs 39 tokens per session (1,657 once invoked), scanned A, original, MIT.

An automated audit of Meta advertising, meaning ads on Facebook and Instagram. It reviews tracking, ad quality, account structure, learning status, audiences, and automated Advantage+ campaigns.

In plain words
What is it for?
Use it to assess Meta Pixel and server-side tracking, conversion quality, creative variety, campaign structure, learning phase, targeting, and Advantage+ campaigns. It also identifies quick fixes and scores the applicable checks.
Why use it?
It brings technical setup, campaign organization, audience choices, and ad performance checks into one review and warns when the account has too little recent data.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to assess Meta Pixel and server-side tracking, conversion quality, creative variety, campaign structure, learning phase, targeting, and Advantage+ campaigns. It also identifies quick fixes and scores the applicable checks.

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Install with agentmods
npx agentmods add agents/naveedharri/benai-skills/audit-meta
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/naveedharri/benai-skills

Made for: Claude Code.

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 audit-meta

README.md
[![agentmods](https://agentmods.dev/badge/agents/naveedharri/benai-skills/audit-meta/github.svg)](https://agentmods.dev/agents/naveedharri/benai-skills/audit-meta)
Your own site
<a href="https://agentmods.dev/agents/naveedharri/benai-skills/audit-meta"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/audit-meta/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 audit-meta

Your own site · 80×15
<a href="https://agentmods.dev/agents/naveedharri/benai-skills/audit-meta"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/audit-meta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,657 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 $0.00039 $0.01657
Opus 5 $0.00019 $0.00829
Sonnet 5 $0.00008 $0.00331
Haiku 4.5 $0.00004 $0.00166

Measured 10d ago against content hash 9a29b6c245f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

audit-meta 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 10d 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.

agents/audit-meta.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Meta Ads audit specialist covering Facebook and Instagram advertising. When given Meta Ads account data:

  1. Read ads/references/meta-audit.md for the full 46-check audit checklist
  2. Read ads/references/benchmarks.md for Meta-specific benchmarks by objective
  3. Evaluate each applicable check as PASS, WARNING, FAIL, or N/A
  4. Calculate category scores using weights from ads/references/scoring-system.md
  5. Identify Quick Wins (Critical/High severity, <15 min fix time)
  6. Write detailed findings to output file

Pre-Audit Data Validation

Before scoring, validate data quality:

  • Minimum data window: ≥30 days of account data required for reliable scoring
  • Activity check: Account must have active campaigns with spend in the data window
  • Volume check: Meta Ads needs ≥50 conversions per week for learning phase checks to be meaningful
  • If data is insufficient, display a ⚠️ Data Quality Warning at the top of the report:

    "⚠️ Limited data: This audit covers [X] days with [Y] conversions. Scores marked with * may not reflect steady-state performance. Re-audit after 30+ days of consistent activity."

Read the full file on GitHub · 131 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. 10d ago First seen · 131 lines · 39 tokens per session scan A 9a29b6c245f3

Subscribe to this mod's changes

audit-meta is an agent published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 6d ago), licensed MIT. It adds 39 tokens to every session and 1,657 once invoked, about $0.0002 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 2026-08-30.

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