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 agentmods add skills/fusengine/agents/astro-seonpx skills add fusengine/agents --skill astro-seogit clone --depth 1 https://github.com/fusengine/agentsWhat 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 | $0.00041 | $0.01042 |
| Opus 5 | $0.00020 | $0.00521 |
| Sonnet 5 | $0.00008 | $0.00208 |
| Haiku 4.5 | $0.00004 | $0.00104 |
Grade A, and why
astro-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 2d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Does not cover locale routing mechanics beyond hreflang tag generation (astro-i18n), Content Layer schema design (astro-content), or image-specific optimization like <Image />/<Picture /> (astro-assets) — those are separate skills.
Astro SEO
Complete SEO strategy for Astro 7 sites — zero JS by default makes Astro naturally SEO-friendly.
Agent Workflow (MANDATORY)
Before ANY implementation, use TeamCreate to spawn 3 agents:
- fuse-ai-pilot:explore-codebase - Analyze existing layouts, head components, and metadata
- fuse-ai-pilot:research-expert - Verify latest SEO best practices via Context7/Exa
- mcp__context7__query-docs - Check Astro 7 sitemap/RSS integration docs
After implementation, run fuse-ai-pilot:sniper for validation.
Overview
When to Use
- Adding meta tags and Open Graph to any Astro page
- Generating JSON-LD structured data for rich snippets
- Setting up @astrojs/sitemap for search indexing
- Configuring RSS feeds with @astrojs/rss
- Creating robots.txt and canonical URL patterns
- Adding hreflang for multilingual SEO
- Measuring and improving Core Web Vitals
Why Astro for SEO
| Feature | Benefit |
|---|---|
| Zero JS by default | Pure HTML for crawlers, instant indexing |
| Static output | Sub-second TTFB, top Core Web Vitals |
Astro.site |
Canonical URL construction built-in |
| Islands Architecture | Only hydrate interactive parts |
Core Concepts
Head Component Pattern
Create a reusable <SEO /> or <Head /> component accepting title, description, og, canonical props. Place in all layouts. Use Astro.site for absolute URL construction.
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.
- 2d ago First seen · 103 lines · 41 tokens per session scan A e62f11185e57
astro-seo is a skill published in the GitHub repository fusengine/agents (25 stars, last pushed 29d ago), licensed MIT. It adds 41 tokens to every session and 1,042 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
extract-source-sample
Given the path to a finished content-goose ad-run folder, extract everything that defines that ad — recipe shot list, VO script, characters, voices, world, atom-skills, master mp4 — and emit a source-sample.json in the exact shape the upload-ad-sample skill writes to the Goose Ads library. Also links every character…
competitor-ad-intelligence
Scrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad…
google-search-ads-builder
End-to-end Google Search Ads campaign builder. Performs deep keyword research (competitor SEO, review language mining, Reddit/HN community terminology, site audit), builds keyword architecture with funnel mapping and intent classification, creates ad group structure, generates headline/description variants, builds…
meta-ads-analyzer
Diagnose Meta Ads campaign performance and account gaps using Meta's actual system mechanics — including customer-journey coverage, Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue. Use for performance diagnosis, account audits, full-funnel or TOF/MOF/BOF gap analysis, deciding what to…
ad-campaign-analyzer
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
ad-lead-quality-analyzer
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.