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 agentmods add skills/leadmagic/gtm-skills/pseo-strategynpx skills add LeadMagic/gtm-skills --skill pseo-strategygit clone --depth 1 https://github.com/LeadMagic/gtm-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/leadmagic/gtm-skills/pseo-strategy)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/pseo-strategy"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/pseo-strategy.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.01644 |
| Opus 5 | $0.00024 | $0.00822 |
| Sonnet 5 | $0.00010 | $0.00329 |
| Haiku 4.5 | $0.00005 | $0.00164 |
Grade A, and why
pseo-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 2d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Programmatic SEO (pSEO)
Overview
Programmatic SEO generates hundreds or thousands of pages from templates and data, targeting long-tail keywords at scale. "[Category] for [Industry]", "[Integration] + [Integration]", "[City] [Service]" — these patterns can generate massive organic traffic when done right, and penalties when done wrong.
Authoritative Foundations
- Programmatic SEO Framework — Named methodology governing recommendations in this skill's process.
- Animalz Content Strategy — Named methodology governing recommendations in this skill's process.
- Google Search Central — SEO Starter Guide — SEO Starter Guide
When to Use
- "Build programmatic SEO"
- "pSEO strategy"
- "Scale content with templates"
- "Generate landing pages at scale"
Step-by-Step Process
Phase 1: pSEO Pattern Identification
Find patterns where template + data = unique valuable page:
Valid patterns:
- "[Integration A] + [Integration B]" — 100 integrations → 10,000 potential pages
- "[Category] for [Industry]" — 10 categories × 20 industries = 200 pages
- "[Job Title] [Metric] Benchmarks" — 20 titles × 5 metrics = 100 pages
- "[Tool] vs [Tool]" — 20 tools → 190 comparison pages
- "Best [Category] for [Use Case]" — same math
Invalid patterns (will get penalized):
- Thin content with no unique value
- Near-duplicate pages with only city/name swapped
- Auto-generated text without data
- Pages that don't answer a real search query
Phase 2: Data Source Assembly
Each pSEO page needs real data:
- Internal data: Your product usage data, customer data (anonymized), benchmarks
- API data: Enrichment APIs, directories, databases
- Public data: Government datasets, industry reports, open data
- Scraped data: Competitor data, pricing, reviews (legal and ethical scraping only)
Phase 3: Template Design
Build a content template with:
- Unique data fields: What changes per page (industry name, integration name, etc.)
- Static content: What stays the same (product description, methodology, CTA)
- Dynamic content rules: "If industry = healthcare, mention HIPAA compliance. If industry = fintech, mention SOC2."
- Quality threshold: Minimum word count (500+), minimum data points (3+), unique value proposition per page
What ships with it
4 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.
- 2d ago Changed 3ee4368ccfa1
- 6d ago First seen · 163 lines · 48 tokens per session scan A 9b98d83304c2
pseo-strategy is a skill published in the GitHub repository LeadMagic/gtm-skills (48 stars, last pushed 4d ago), licensed MIT. It adds 48 tokens to every session and 1,644 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.
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