audit

audit is a skill for Claude Code, Codex from ScaleBrick/founder-marketing-skills. It costs 45 tokens per session (2,297 once invoked), scanned A, original, MIT.

An assessment of whether TikTok or Instagram search can help a particular business grow. It examines search demand, competition, content fit, and the likelihood that users intend to take action.

In plain words
What is it for?
Use it to evaluate goals such as signups, leads, sales, or awareness. It needs information about the business, target audience, website if available, and main goal, and includes searches of TikTok and Instagram.
Why use it?
It prevents spending time on social search when the audience, product, or market is a poor fit. The result ends with a recommendation to use or avoid this channel.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to evaluate goals such as signups, leads, sales, or awareness. It needs information about the business, target audience, website if available, and main goal, and includes searches of TikTok and Instagram.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/scalebrick/founder-marketing-skills/audit
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 ScaleBrick/founder-marketing-skills --skill audit
Clone the repo
git clone --depth 1 https://github.com/ScaleBrick/founder-marketing-skills

Made for: Claude Code, 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.

agentmods badge for audit

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

agentmods 80×15 button for audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/scalebrick/founder-marketing-skills/audit"><img src="https://agentmods.dev/badge/skills/scalebrick/founder-marketing-skills/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,297 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 $0.00045 $0.02297
Opus 5 $0.00023 $0.01149
Sonnet 5 $0.00009 $0.00459
Haiku 4.5 $0.00005 $0.00230

Measured 12d ago against content hash 0cb6cec060fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

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 12d 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.

skills/audit/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Search Audit

You are a growth strategist evaluating whether TikTok and Instagram search traffic is a viable acquisition channel for a business. You use the same framework that powers ScaleBrick's Morgan.

The premise

40% of Gen Z uses TikTok and Instagram as search engines. The strategy that works here treats these platforms like Google, not like viral content platforms. You target intent-based keywords, build a library of searchable content, and let the traffic compound over time.

But this approach does not work for every business. Enterprise B2B with 50 buyers worldwide should not be doing this. Nor should products where the buyer demographic doesn't use these platforms.

The audit determines whether this channel makes sense for this specific business.

Gather context

Ask the user for:

  1. Business name and what they sell
  2. Target audience (who buys this, demographics matter)
  3. Website URL (if available)
  4. Primary goal (signups, leads, revenue, brand awareness)

If they've already provided this, don't re-ask.

Run the audit across 5 dimensions

Use web search to check TikTok and Instagram for real activity in their niche.

1. Search demand check

Search for what people in this niche would type. Look for:

  • Problem-aware queries: "how to [solve problem]", "signs of [symptom]", "why [pain point]"
  • Commercial queries: "best [product category]", "[tool] review", "[alternative] to [competitor]"
  • Educational queries: "how to [achieve goal]", "[topic] for beginners"
  • Transactional queries: "free [tool]", "[tool] template"

Report: estimated search activity (high/medium/low) with specific example queries you found evidence of.

2. Competition density

Check how many creators/businesses are making content for these search terms:

  • Number of videos/posts under key search terms
  • Quality of existing content (professional vs amateur, branded vs individual)
  • Whether the niche is saturated or wide open

Report: competition level (saturated / moderate / wide open) with specifics.

Read the full file on GitHub · 248 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. 12d ago First seen · 248 lines · 45 tokens per session scan A 0cb6cec060fb

Subscribe to this mod's changes

audit is a skill published in the GitHub repository ScaleBrick/founder-marketing-skills (95 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 2,297 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.

Related

Other skills, from other repositories

gtm-audit

Full go-to-market marketing audit for /gtm audit . Runs up to 5 parallel audit subagents with machine-validated outputs and produces a scored, date-stamped report that leads with what changed since the last audit - and never invents a number. Use when the user wants a full marketing/GTM audit, an overall website…

adaptico/adaptico-os · 115 tokens

gtm-competitors

Competitive intelligence for /gtm competitors . Use when the user wants to identify competitors, analyze rival marketing and positioning, or find differentiation gaps and steal-worthy tactics. Also trigger for "who are my competitors", "analyze my competition", "competitive analysis", "how do rivals market", or "where…

adaptico/adaptico-os · 72 tokens

gtm-funnel

Funnel and activation analysis for /gtm funnel - maps the public funnel (landing, pricing, signup) and works with the founder on the post-signup path to first value. Use when the user wants to find funnel drop-off/leaks or improve trial-to-paid and PLG activation. Also trigger for "fix my funnel", "where am I losing…

adaptico/adaptico-os · 96 tokens

gtm-launch

Launch playbook for /gtm launch . Use when the user wants a week-by-week launch plan for Product Hunt, Hacker News, or X, with templates, checklists, and metrics. Also trigger for "plan my launch", "Product Hunt launch", "launch playbook", "how do I launch", or "launch checklist".

adaptico/adaptico-os · 74 tokens

gtm-position

Positioning analysis for /gtm position . Derives positioning as a chain - real competitive alternatives, then unique attributes, then value with proof, then the customer who cares most, then the market frame - instead of filling in a positioning-statement template; scores the current position on a falsifiability-first…

adaptico/adaptico-os · 199 tokens

gtm-copy

Website copy analysis and rewriting for /gtm copy . Use when the user wants to score existing copy and get optimized before/after rewrites for headlines, value props, CTAs, or body copy. Also trigger for "improve my copy", "rewrite my headline", "is my copy good", "better value prop", or "punch up this page".

adaptico/adaptico-os · 80 tokens