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 jonbishop1/saas-marketing-skills --skill saas-audience-researchgit clone --depth 1 https://github.com/jonbishop1/saas-marketing-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/jonbishop1/saas-marketing-skills/saas-audience-research)<a href="https://agentmods.dev/skills/jonbishop1/saas-marketing-skills/saas-audience-research"><img src="https://agentmods.dev/badge/skills/jonbishop1/saas-marketing-skills/saas-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/jonbishop1/saas-marketing-skills/saas-audience-research"><img src="https://agentmods.dev/badge/skills/jonbishop1/saas-marketing-skills/saas-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 | $0.00169 | $0.06132 |
| Opus 5 | $0.00084 | $0.03066 |
| Sonnet 5 | $0.00034 | $0.01226 |
| Haiku 4.5 | $0.00017 | $0.00613 |
Grade A, and why
saas-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 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 — 467 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audience Research for Software Products
Audience: developers and technical founders. Explain things in engineering terms. Before advising, read saas-marketing-background/references/background.md and gather missing background. Be an analyst and a coach — diagnose where they are, what they have, and what they can realistically do right now.
Table of Contents
- Why This Matters
- Situation Assessment
- Three Tiers of Research
- First-Party Research
- Third-Party Research
- Synthesizing Research into Action
- Research by Product Stage
- Reference Files
Why Audience Research Matters
Most technical founders skip audience research or treat it as a checkbox. They build what they think is needed, then try to find customers afterward. This inverts the process. Audience research is not a marketing exercise — it's a product-risk reduction mechanism.
What audience research actually produces:
- Language: the exact words your customers use to describe their problem, which becomes your ad copy, landing page headlines, and SEO keywords
- Channels: where they already spend attention, which determines where your marketing dollars go
- Objections: what stops them from buying, which shapes your pricing page and sales process
- Priorities: what they care about most, which determines your feature roadmap and positioning
You don't need all of this at once. You need the right slice at the right time.
Example — API monitoring product: A founder assumes devops engineers want "comprehensive observability." Research reveals they actually search for "why is my API slow" and "endpoint latency alerts." The product is the same. The positioning changes completely.
Example — SEO keyword research tool: A founder positions against enterprise competitors. Research in SEO communities reveals most buyers are freelancers and small agency owners searching "find low competition keywords" and "keyword difficulty checker." The ICP shifts from enterprise to SMB.
What ships with it
2 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.
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 · 467 lines · 169 tokens per session scan A bfe3ed2bc66f
saas-audience-research is a skill published in the GitHub repository jonbishop1/saas-marketing-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 169 tokens to every session and 6,132 once invoked, about $0.0008 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 2026-08-31.
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