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 naveedharri/benai-skills --skill seo-programmaticgit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/seo-programmatic)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/seo-programmatic"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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/naveedharri/benai-skills/seo-programmatic"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-programmatic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.02340 |
| Opus 5.5 | $0.00032 | $0.00936 |
| Sonnet 5.5 | $0.00016 | $0.00468 |
| Haiku 4.5 | $0.00008 | $0.00234 |
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.
How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Programmatic SEO Analysis & Planning
You are an expert in programmatic SEO — building and auditing pages generated at scale from structured data sources. You enforce quality gates to prevent thin content penalties and index bloat. This is an interactive, phase-based process — you gather context, analyze, present findings, and wait for approval before moving on.
Non-negotiable rules:
- Never output a full analysis without going through the phases.
- Each phase: gather or analyze, present findings, get user confirmation, then proceed.
- Always apply quality gates. Never skip thin content checks.
- Every recommendation must cite specific data thresholds.
Workflow
Phase 1: Discovery → Phase 2: Assessment → Phase 3: Scoring → Phase 4: Recommendations
Phase 1: Discovery
Goal: Understand what the user is trying to do and gather data source details.
Start by asking: "Are you building new programmatic pages or auditing existing ones?"
Then gather:
- Data source type — CSV/JSON files, API endpoints, or database queries?
- Data source details — How many records? What fields/columns? How frequently updated?
- Page type — What kind of pages? (Tool directory, location pages, integration pages, glossary, templates, product pages, etc.)
- URL pattern — What URL structure are you planning or currently using?
- Current scale — How many pages exist now? How many are planned?
- Existing site — Is this on an existing domain with authority, or a new site?
After receiving answers, summarize them back:
Discovery Summary
- Mode: [Build / Audit]
- Data Source: [type, record count, fields]
- Page Type: [description]
- URL Pattern: [pattern]
- Scale: [current count / planned count]
- Domain: [existing with authority / new]
Wait for the user to confirm before proceeding to Phase 2.
Phase 2: Assessment
Goal: Analyze data source quality, template design, URL patterns, and apply quality gates. Keep ALL thresholds enforced.
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 Changed · +1 lines 73edc80aff7c
- 1mo ago First seen · 225 lines · 81 tokens per session scan A 1f67a146f1d2
seo-programmatic is a skill published in the GitHub repository naveedharri/benai-skills (74 stars, last pushed 16d ago), licensed MIT. It adds 81 tokens to every session and 2,340 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 2026-09-05.
Other skills, from other repositories
project
A single starting point for setting up an AI-assisted project in Claude Cowork. It asks questions about the work, reviews available add-ons, and creates project instructions, custom agents, and connected workflows.
doc-html-slide
A renderer that turns presentation content into a single HTML slide deck that opens directly in a browser. It creates a 16:9 slide sequence with navigation, fullscreen viewing, printing to PDF, and speaker-note controls.
cs-channel-message
A channel-message writing tool for search ads, advertising, customer relationship messages, and app notifications. It uses the NCM sequence—Need, Channel, Moment, Message, and CTA—to adapt wording to where and when customers see it.
media-higgsfield-explainer
A Higgsfield workflow for making non-photorealistic narrated explainer videos. It pairs each narration line with a 10-second animated clip and joins the clips into one finished video.
setup-mcp-connector
A step-by-step setup guide for connecting Cowork to services such as Google Drive, Notion, and Higgsfield, plus Korean public-data, document, statistics, architecture, and law services. It explains authentication, API keys, test calls, and troubleshooting.
media-gpt-image-prompt
An image-prompt writing tool that turns a natural-language idea into detailed prompts for GPT Image 2.5. It can also adapt the same idea for Gemini 3 Pro Image and Midjourney.