What is paid-media-audit?

A read-only review of supplied advertising evidence from Google, Meta, TikTok, and Douyin. It separates ad-platform reporting from business results and what the ads actually caused.

Use it to inspect campaign delivery, creative, destinations, tracking, attribution, customer quality, and economics across supported ad platforms.

It helps teams avoid treating platform-reported conversions as proven business impact. It also identifies missing evidence and limits conclusions to what the data supports.

paid-media-audit — Skill for Codex by krillinai

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.

Any agent

npx skills add krillinai/growth-skills --skill paid-media-audit

Clone the repo

git clone --depth 1 https://github.com/krillinai/growth-skills

Made for: Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/krillinai/growth-skills/paid-media-audit/github.svg)](https://agentmods.dev/skills/krillinai/growth-skills/paid-media-audit)

Your own site

<a href="https://agentmods.dev/skills/krillinai/growth-skills/paid-media-audit"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/paid-media-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/krillinai/growth-skills/paid-media-audit"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/paid-media-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,059 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Privilege Escalation · line 56
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.02059
Opus 5	$0.00016	$0.01030
Sonnet 5	$0.00007	$0.00412
Haiku 4.5	$0.00003	$0.00206

Measured 9d ago against content hash e22f8f817971, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paid-media-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.

The scan reads SKILL.md. This mod also ships 4 executable files (references/modules/douyin-ads-audit/scripts/test_validate_input_bundle.py, references/modules/douyin-ads-audit/scripts/validate_input_bundle.py, references/modules/meta-ads-audit/scripts/test_validate_input_bundle.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/paid-media-audit/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paid Media Audit

Reuse Growth Context

At the start, read .agents/growth-context.md when it exists. Reuse only product, customer, market, outcome, constraint, evidence, and routing fields whose scope, definition, source, and date remain compatible; state what is reused and surface conflicts or staleness before asking for decision-changing gaps. The file grants no system access or execution authority, and this Skill must not silently rewrite the primary diagnosis.

Integrated Capabilities

This Skill consolidates adjacent workflows behind one trigger. Use the main workflow for core requests. When a request matches a module below, read that module before executing it:

Audit supplied paid-media evidence or explicitly authorized bounded read-only Google Ads and Meta Ads evidence without changing an account. Keep platform delivery, platform-attributed outcomes, business-system results, and incrementality separate. Return bounded findings, missing evidence, and decision rules instead of generic account recipes or invented targets. The core workflow below covers Google Ads; use the integrated platform modules for Meta, TikTok, or Douyin.

Read input-contract.md before requesting or normalizing exports. Read core-read-only-ad-platforms.md before any direct Google Ads or Meta Ads read. Read analysis-methods.md for channel-type, query, asset, landing, measurement, economics, and change-diagnosis methods. Apply evidence-and-boundaries.md to every claim and action. Use playbook-sources.md for the pinned Growth Playbook basis and current official Google references.

Select One Mode

Mode	Use
`intake`	Build or validate the canonical local bundle and identify decision-critical missing evidence
`full`	Audit account structure, delivery, search demand, assets, destinations, measurement, customer quality, and economics
`search`	Audit supplied Search keywords, match types, queries, negatives, ads, intent, destinations, and qualified outcomes
`creative`	Audit responsive ad, image, video, and asset-group concepts, variants, coverage, claims, and rights
`commerce`	Audit supplied Shopping or Performance Max product, feed-status, asset-group, inventory, query-category, and product-economics evidence
`measurement`	Audit conversion actions, primary goals, attribution, enhanced-conversion evidence, reconciliation, customer definitions, and incrementality
`performance`	Investigate a reported change without treating its magnitude, timing, or cause as verified
`connected-readonly`	Collect a bounded Google Ads or Meta Ads evidence bundle through an explicitly authorized, capable read-only path, then run the applicable audit mode
`out-of-scope`	Decline live account access or external action and provide a safe handoff or input plan

Read the full file on GitHub · 108 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

9d ago First seen · 108 lines · 33 tokens per session scan A e22f8f817971

Subscribe to this mod's changes

paid-media-audit is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 16d ago), licensed MIT. It adds 33 tokens to every session and 2,059 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 2026-09-03.

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