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 T4wroot/agentic-seo --skill pmfgit clone --depth 1 https://github.com/T4wroot/agentic-seoWrote 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/t4wroot/agentic-seo/pmf)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/pmf"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/pmf/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/t4wroot/agentic-seo/pmf"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/pmf.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 | $0.00088 | $0.01157 |
| Opus 5 | $0.00044 | $0.00579 |
| Sonnet 5 | $0.00018 | $0.00231 |
| Haiku 4.5 | $0.00009 | $0.00116 |
Grade A, and why
pmf-strategy 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 7d 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.
This is a copy
100% identical to pmf-strategy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategies: Product-Market Fit
Guides product-market fit (PMF) validation and measurement. PMF occurs when a product precisely meets market needs, creating widespread demand. ~99% of startups fail primarily due to PMF issues (vitamin problems, premature scaling). Use this skill when validating before scaling, measuring PMF, or diagnosing traction problems.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Definition
Product-market fit (Marc Andreessen): "Being in a good market with a product that can satisfy that market."
Signals: Customers buying rapidly; usage growing; word-of-mouth spreading organically; high retention, low churn.
Sean Ellis 40% Test
Question: "How would you feel if you could no longer use [product]?"
| Response | Meaning |
|---|---|
| Very disappointed | Strong PMF signal |
| Somewhat disappointed | — |
| Not disappointed | — |
| N/A – I no longer use | — |
Threshold: 40%+ answering "very disappointed" = PMF achieved. Below 40% = iterate.
| Score | Action |
|---|---|
| Below 25% | Significant changes needed |
| 25–39% | Close to PMF; iterate and improve |
| 40%+ | PMF achieved |
Best practice: Survey 40–50 active users (used product 2+ times in last 14 days). Segment by user type—some segments may have PMF while others don't.
Limitation: Combine with retention curves, engagement, organic growth; avoid false positives in early stages.
Vitamin vs Painkiller
| Type | Definition | Adoption |
|---|---|---|
| Painkiller | Solves urgent, acute problems; users actively seek solutions | Fast adoption; high retention; willing to pay |
| Vitamin | Nice-to-have; incremental benefit; users can live without | Slow adoption; expensive marketing to succeed |
~99% of failures: Solving vitamin problems instead of real pain. Validate: Would users be genuinely inconvenienced if your product vanished?
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.
- 7d ago First seen · 104 lines · 88 tokens per session scan A 24f93c72d631
pmf-strategy is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 8d ago), licensed MIT. It adds 88 tokens to every session and 1,157 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pmf-strategy, differing in 0 lines, and is treated as a copy.
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