Borrowing it
Nothing to install: this file belongs to holger1411/astrodeck. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/holger1411/astrodeck/main/.claude/skills/content-seo/SKILL.mdgit clone --depth 1 https://github.com/holger1411/astrodeckWrote 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/holger1411/astrodeck/content-seo)<a href="https://agentmods.dev/skills/holger1411/astrodeck/content-seo"><img src="https://agentmods.dev/badge/skills/holger1411/astrodeck/content-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/holger1411/astrodeck/content-seo"><img src="https://agentmods.dev/badge/skills/holger1411/astrodeck/content-seo.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 | $0.00031 | $0.01238 |
| Opus 5.5 | $0.00012 | $0.00495 |
| Sonnet 5.5 | $0.00006 | $0.00248 |
| Haiku 4.5 | $0.00003 | $0.00124 |
Grade A, and why
content-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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content & SEO Skill
Canonical Sources
This skill references the following globals — read them BEFORE starting work:
system/globals/imagery.md— Alt text conventions, image formats
Domain
Content Collections, Meta Tags, OpenGraph, Structured Data, RSS, Sitemap
KPIs
| Metric | Target | Measurement |
|---|---|---|
| Lighthouse SEO | >90 | Lighthouse JSON → categories.seo.score * 100 |
| Pages without Description | 0 | npm run check:kpis |
| Pages without OG-Image | 0 | HTML check in dist/ |
Rules
Content Collections Schema
// src/content.config.ts
import { defineCollection } from 'astro:content';
import { z } from 'astro/zod';
import { glob } from 'astro/loaders';
const blog = defineCollection({
loader: glob({ pattern: '**/*.{md,mdx}', base: './src/content/blog' }),
schema: z.object({
title: z.string(),
description: z.string().max(160),
pubDate: z.coerce.date(),
updatedDate: z.coerce.date().optional(),
heroImage: z.string().optional(),
draft: z.boolean().default(false),
tags: z.array(z.string()).default([]),
author: z.string().default('Team'),
}),
});
SEO Component Usage
---
import BaseLayout from '@/layouts/BaseLayout.astro';
const title = "Page Title — Brand Name";
const description = "Page description, 150-160 characters, relevant keyword at the start.";
---
<BaseLayout title={title} description={description}>
<!-- Content -->
</BaseLayout>
Meta-Description Best Practices
- Length: 150-160 characters (Google truncates at ~160)
- Keyword: Relevant keyword at the beginning
- Unique: Every page needs its own description
- Actionable: Call-to-action or value proposition
- No duplicates: Never the same description for multiple pages
OpenGraph Tags
<meta property="og:title" content="{title}" />
<meta property="og:description" content="{description}" />
<meta property="og:image" content="{siteUrl}/og-image.png" />
<meta property="og:url" content="{canonicalUrl}" />
<meta property="og:type" content="website" />
<meta property="og:site_name" content="{siteName}" />
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.
- 2mo ago First seen · 182 lines · 31 tokens per session scan A 8a11dda3ebb7
content-seo is a skill published in the GitHub repository holger1411/astrodeck (81 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 1,238 once invoked, about $0.0001 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 2026-08-30.
content-seo compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-seoholger1411/astrodeck | Skill | 81 | 2mo ago | MIT | A | 31 | Claude Code |
| 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 | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |