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 san-npm/skills-ws --skill programmatic-seogit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/programmatic-seo)<a href="https://agentmods.dev/skills/san-npm/skills-ws/programmatic-seo"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/programmatic-seo/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/san-npm/skills-ws/programmatic-seo"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/programmatic-seo.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 | $0.00070 | $0.00553 |
| Opus 5.5 | $0.00028 | $0.00221 |
| Sonnet 5.5 | $0.00014 | $0.00111 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
programmatic-seo 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 2mo 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.
What it actually says
Programmatic SEO — Build Thousands of High-Quality Pages at Scale
Reference guide
Read only the references needed for the current request:
- Core Philosophy: references/core-philosophy.md
- 1. Page Pattern Playbook: references/1-page-pattern-playbook.md
- 2. Data Source Strategies: references/2-data-source-strategies.md
- 3. URL Structure Best Practices: references/3-url-structure-best-practices.md
- 4. Canonical Strategy: references/4-canonical-strategy.md
- 5. Internal Linking at Scale: references/5-internal-linking-at-scale.md
- 6. Preventing Thin Content: references/6-preventing-thin-content.md
- 7. Index Management: references/7-index-management.md
- 8. Astro Implementation (Static-First): references/8-astro-implementation-static-first.md
- 9. Build & Deploy at Scale: references/9-build-deploy-at-scale.md
- 10. Monitoring & Dashboards: references/10-monitoring-dashboards.md
- 11. Schema Markup at Scale: references/11-schema-markup-at-scale.md
- 12. Pre-Launch Checklist: references/12-pre-launch-checklist.md
- 13. Common Mistakes: references/13-common-mistakes.md
- 14. Scaling Playbook: references/14-scaling-playbook.md
What ships with it
16 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.
- agents/openai.yaml 185 B
- references/1-page-pattern-playbook.md 7.7 KB
- references/10-monitoring-dashboards.md 4.2 KB
- references/11-schema-markup-at-scale.md 3.2 KB
- references/12-pre-launch-checklist.md 1.7 KB
- references/13-common-mistakes.md 797 B
- references/14-scaling-playbook.md 994 B
- references/2-data-source-strategies.md 8.9 KB
- references/3-url-structure-best-practices.md 1.3 KB
- references/4-canonical-strategy.md 2.0 KB
- references/5-internal-linking-at-scale.md 2.5 KB
- references/6-preventing-thin-content.md 4.0 KB
- references/7-index-management.md 4.0 KB
- references/8-astro-implementation-static-first.md 1.5 KB
- references/9-build-deploy-at-scale.md 939 B
- references/core-philosophy.md 2.0 KB
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.
- 2mo ago First seen · 26 lines · 70 tokens per session scan A 44a02a7bda4a
programmatic-seo is a skill published in the GitHub repository san-npm/skills-ws (4 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 553 once invoked, about $0.0003 per session on Opus 5.5. 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.
programmatic-seo compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| programmatic-seosan-npm/skills-ws | Skill | 4 | 1mo ago | MIT | A | 70 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |