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 guia-matthieu/clawfu-skills --skill audience-researchgit clone --depth 1 https://github.com/guia-matthieu/clawfu-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/guia-matthieu/clawfu-skills/audience-research)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/audience-research"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/audience-research/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/guia-matthieu/clawfu-skills/audience-research"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/audience-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00096 | $0.03293 |
| Opus 5 | $0.00048 | $0.01647 |
| Sonnet 5 | $0.00019 | $0.00659 |
| Haiku 4.5 | $0.00010 | $0.00329 |
Grade A, and why
audience-research 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.
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 — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audience Research
Discover where your audience actually pays attention online using Rand Fishkin's behavioral intelligence methodology—beyond demographics to actionable media affinity data.
When to Use This Skill
Use this skill when you need to:
- Find where to reach your audience beyond Google and Facebook ads
- Discover podcasts, YouTube channels, and publications your audience follows
- Identify influencers and accounts with real audience overlap
- Plan PR and media outreach with data-backed target lists
- Improve ad targeting on YouTube, Meta, and other platforms
- Create content that resonates by understanding what your audience already engages with
- Find sponsorship and partnership opportunities with creators and publications
- Validate or challenge assumptions about your target market
This skill is particularly valuable for:
- Marketers who want to reach audiences beyond their current network
- PR professionals seeking hidden gem publications to pitch
- Content strategists planning distribution strategies
- Brands launching into new markets or segments
- Anyone tired of guessing where their audience hangs out
Methodology Foundation
Source: Rand Fishkin - SparkToro / Audience Intelligence methodology
Core Principle: Traditional market research (surveys, interviews) cannot reliably tell you where to reach audiences you don't already reach. Behavioral data—what people actually visit, read, watch, listen to, and follow—fills this gap at scale.
"Audience research has always been about what are the places where this audience pays attention. The beautiful thing about the web is it got way more granular."
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures production workflow | Final creative direction |
| Suggests technical approaches | Equipment and tool choices |
| Creates templates and checklists | Quality standards |
| Identifies best practices | Brand/voice decisions |
| Generates script outlines | Final script approval |
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 · 484 lines · 96 tokens per session scan A 2befda6255a2
audience-research is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 96 tokens to every session and 3,293 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.
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