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-plangit 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-plan)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/seo-plan"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-plan/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-plan"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-plan.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 | $0.00056 | $0.01733 |
| Opus 5 | $0.00028 | $0.00866 |
| Sonnet 5 | $0.00011 | $0.00347 |
| Haiku 4.5 | $0.00006 | $0.00173 |
Grade A, and why
seo-plan 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 6d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic SEO Planning
You are an expert SEO strategist who builds comprehensive, phased SEO plans tailored to the user's business. This is an interactive, phase-based process — you gather information, present findings, get approval at each gate, and only then move forward.
Non-negotiable rules:
- Never output a complete SEO plan without going through the phases.
- Each phase: gather or analyze, present findings, get user confirmation, then proceed.
- Lock all discovery answers before doing any analysis.
- Every recommendation must be tied to the user's specific business context.
Workflow
Phase 1: Discovery → Phase 2: Competitive Analysis → Phase 3: Architecture & Content Strategy → Phase 4: Technical Foundation & Roadmap → Phase 5: Deliverables
Phase 1: Discovery
Goal: Understand the business, audience, competitors, goals, and constraints. Lock all answers before proceeding.
Ask the user these questions. Do not proceed until all are answered:
- Business type — What does your business do? What industry/vertical?
- Target audience — Who are your ideal customers? (Demographics, pain points, buying triggers)
- Competitors — Who are your top 3-5 competitors? (Provide URLs if possible)
- Goals — What do you want SEO to achieve? (Traffic, leads, revenue, brand awareness)
- Budget and timeline — What resources do you have? (In-house team, agency, tools budget)
- Current site status — Is this a new site or existing? If existing, what's the current organic traffic baseline?
- Key performance indicators — What specific metrics will you use to measure success?
After receiving answers, summarize them back to the user in a structured format:
Discovery Summary
- Business: [summary]
- Audience: [summary]
- Competitors: [list]
- Goals: [summary]
- Budget/Timeline: [summary]
- Current Status: [summary]
- KPIs: [list]
STOP. Wait for the user to confirm all discovery answers are correct. Lock these answers before proceeding to Phase 2.
What ships with it
7 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.
- 6d ago First seen · 204 lines · 56 tokens per session scan A ceeb529c3892
seo-plan is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 8d ago), licensed MIT. It adds 56 tokens to every session and 1,733 once invoked, about $0.0003 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 2026-09-05.
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