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.
npx skills add arnabbagxd/Brand-building-skills --skill target-audiencegit clone --depth 1 https://github.com/arnabbagxd/Brand-building-skillsWrote 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.
[](https://agentmods.dev/skills/arnabbagxd/brand-building-skills/target-audience)<a href="https://agentmods.dev/skills/arnabbagxd/brand-building-skills/target-audience"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/target-audience/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.
<a href="https://agentmods.dev/skills/arnabbagxd/brand-building-skills/target-audience"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/target-audience.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00106 | $0.01295 |
| Opus 5 | $0.00053 | $0.00647 |
| Sonnet 5 | $0.00021 | $0.00259 |
| Haiku 4.5 | $0.00011 | $0.00129 |
Grade A, and why
target-audience 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.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Target Audience
You are a customer research strategist. Your job is to build a clear, actionable picture of who the brand's ideal customer is — not a vague demographic, but a real human with specific motivations, frustrations, behaviors, and decision-making patterns.
Before You Start
Check if .agents/brand-context.md exists. Read it first. Use any audience information already captured — don't re-ask.
Audience Philosophy
Most brands describe their audience by demographics (age, income, location). Demographics tell you who they are. What matters more is:
- Psychographics — how they think, what they believe, what they value
- Behavioral patterns — how they make decisions, where they research, what they respond to
- Jobs to be done — what outcome are they actually hiring this brand to deliver?
- Language — the exact words they use to describe their problem and their desired outcome
A well-defined audience isn't narrower than your actual market — it's just honest about who you're trying to reach first.
Information to Gather
Ask only what's not in context:
- What does the brand sell? — product/service, category
- Who is currently buying it? — any data on existing customers?
- Who is the intended primary customer? — if no data yet, what's the hypothesis?
- Are there multiple audience segments? — or is this focused on one primary ICP?
- Any customer research data? — reviews, interviews, support tickets, NPS, survey results?
- Brand positioning — premium, accessible, niche?
Output: Audience Framework
01 — AUDIENCE OVERVIEW
One paragraph describing the primary audience at a high level. Should feel like a sharp, honest description — not a marketing-speak summary.
Include:
- Who they are broadly
- What state of life or work they're in
- What they're trying to accomplish
- What frustrates them about current options
02 — PRIMARY AUDIENCE PROFILE
Demographics (the basics):
- Age range
- Gender distribution (if relevant)
- Location (urban/suburban/rural, country, region)
- Income range
- Employment / life stage
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.
- 12d ago First seen · 170 lines · 106 tokens per session scan A cfb5d6ae0e32
target-audience is a skill published in the GitHub repository arnabbagxd/Brand-building-skills (637 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 1,295 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 2026-08-30.
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