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 BestLemoon/codex-seo --skill seo-programmaticgit clone --depth 1 https://github.com/BestLemoon/codex-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/bestlemoon/codex-seo/seo-programmatic)<a href="https://agentmods.dev/skills/bestlemoon/codex-seo/seo-programmatic"><img src="https://agentmods.dev/badge/skills/bestlemoon/codex-seo/seo-programmatic/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/bestlemoon/codex-seo/seo-programmatic"><img src="https://agentmods.dev/badge/skills/bestlemoon/codex-seo/seo-programmatic.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 | $0.00072 | $0.01935 |
| Opus 5.5 | $0.00029 | $0.00774 |
| Sonnet 5.5 | $0.00014 | $0.00387 |
| Haiku 4.5 | $0.00007 | $0.00194 |
Grade A, and why
seo-programmatic 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 1mo 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
92% identical to seo-programmatic — 22 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Programmatic SEO Analysis & Planning
Build and audit SEO pages generated at scale from structured data sources. Enforces quality gates to prevent thin content penalties and index bloat.
Data Source Assessment
Evaluate the data powering programmatic pages:
- CSV/JSON files: Row count, column uniqueness, missing values
- API endpoints: Response structure, data freshness, rate limits
- Database queries: Record count, field completeness, update frequency
- Data quality checks:
- Each record must have enough unique attributes to generate distinct content
- Flag duplicate or near-duplicate records (>80% field overlap)
- Verify data freshness; stale data produces stale pages
Template Engine Planning
Design templates that produce unique, valuable pages:
- Variable injection points: Title, H1, body sections, meta description, schema
- Content blocks: Static (shared across pages) vs dynamic (unique per page)
- Conditional logic: Show/hide sections based on data availability
- Supplementary content: Related items, contextual tips, user-generated content
- Template review checklist:
- Each page must read as a standalone, valuable resource
- No "mad-libs" patterns (just swapping city/product names in identical text)
- Dynamic sections must add genuine information, not just keyword variations
URL Pattern Strategy
Common Patterns
/tools/[tool-name]: Tool/product directory pages/[city]/[service]: Location + service pages/integrations/[platform]: Integration landing pages/glossary/[term]: Definition/reference pages/templates/[template-name]: Downloadable template pages
URL Rules
- Lowercase, hyphenated slugs derived from data
- Logical hierarchy reflecting site architecture
- No duplicate slugs; enforce uniqueness at generation time
- Keep URLs under 100 characters
- No query parameters for primary content URLs
- Consistent trailing slash usage (match existing site pattern)
Internal Linking Automation
What ships with it
1 file 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.
- 1mo ago First seen · 179 lines · 72 tokens per session scan A 26d39a1138fd
seo-programmatic is a skill published in the GitHub repository BestLemoon/codex-seo (9 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 1,935 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to seo-programmatic, differing in 22 lines, and is treated as a copy.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.