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 Bilal140202/the-lord-of-the-skills --skill bhanunamikaze__agentic-seo-skillgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-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/bilal140202/the-lord-of-the-skills/bhanunamikaze__agentic-seo-skill)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/bhanunamikaze__agentic-seo-skill"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/bhanunamikaze__agentic-seo-skill/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/bilal140202/the-lord-of-the-skills/bhanunamikaze__agentic-seo-skill"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/bhanunamikaze__agentic-seo-skill.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 | $0.00105 | $0.04849 |
| Opus 5 | $0.00053 | $0.02424 |
| Sonnet 5 | $0.00021 | $0.00970 |
| Haiku 4.5 | $0.00011 | $0.00485 |
Grade A, and why
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 9d 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
100% identical to seo — 0 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 — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Skill (Agentic / Claude / Codex)
LLM-first SEO analysis skill with 16 specialized sub-skills, 10 specialist agents, and 89 scripts for website, blog, and GitHub repository optimization.
Deterministic Trigger Mapping
For prompt reliability in Codex/agent IDEs, map common user wording to a fixed workflow:
- If user says
perform seo analysis on <url>(or similar generic SEO request with a URL), treat it as a single-URL full audit. - If no explicit sub-skill is specified, run the full/page audit path with LLM-first reasoning and script-backed evidence.
- For full/page audits, always produce:
FULL-AUDIT-REPORT.md(detailed findings)ACTION-PLAN.md(prioritized fixes)
- If
generate_report.pyis run, also return the saved HTML path (for exampleSEO-REPORT.html).
Available Commands
| Command | Sub-Skill | Description |
|---|---|---|
seo audit <url> |
seo-audit | Full website audit with scoring |
seo page <url> |
seo-page | Deep single-page analysis |
seo technical <url> |
seo-technical | Technical SEO checks |
seo content <url> |
seo-content | Content quality & E-E-A-T |
seo schema <url> |
seo-schema | Schema detection/validation/generation |
seo sitemap <url> |
seo-sitemap | Sitemap analysis & generation |
seo images <url> |
seo-images | Image optimization audit |
seo geo <url> |
seo-geo | AI search optimization (GEO) |
seo programmatic <url> |
seo-programmatic | Programmatic SEO safeguards |
seo competitors <url> |
seo-competitor-pages | Comparison/alternatives pages |
seo hreflang <url> |
seo-hreflang | International SEO validation |
seo plan <url> |
seo-plan | Strategic SEO planning |
seo github <repo_or_url> |
seo-github | GitHub repository discoverability, README, topics, community health, and traffic archival |
seo article <url> |
seo-article | Article data extraction & LLM optimization |
seo links <url> |
seo-links | External backlink profile & link health |
seo aeo <url> |
seo-aeo | Answer Engine Optimization (Featured Snippets, PAA, Knowledge Panel) |
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.
- 9d ago First seen · 370 lines · 105 tokens per session scan A 028f0483bca4
seo is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 105 tokens to every session and 4,849 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to seo, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
serpsmith
Publish SEO articles reliably across AI-agent runtimes.
tool-calling-tutor
Use when a tool-calling agent does not call a tool, sends wrong arguments, loops without stopping, or needs a function schema. Guides a four-branch diagnosis and five-step schema repair. Do not use for framework-specific, MCP-server, or production-observability questions.
performing-threat-hunting-with-yara-rules
Use YARA pattern-matching rules to hunt for malware, suspicious files, and indicators of compromise across filesystems and memory dumps. Covers rule authoring, yara-python scanning, and integration with threat intel feeds.
hunt-idor
Hunting skill for idor vulnerabilities. Built from 26 public bug bounty reports. Use when hunting idor on any target.
performing-soc2-type2-audit-preparation
Automates SOC 2 Type II audit preparation including gap assessment against AICPA Trust Services Criteria (CC1-CC9), evidence collection from cloud providers and identity systems, control testing validation, remediation tracking, and continuous compliance monitoring. Covers all five TSC categories (Security…
testrail
Sync tests with TestRail. Use when user mentions "testrail", "test management", "test cases", "test run", "sync test cases", "push results to testrail", or "import from testrail".