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/bytefer/geo-seo-codex/geo-technicalnpx skills add bytefer/geo-seo-codex --skill geo-technicalgit clone --depth 1 https://github.com/bytefer/geo-seo-codexWrote 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/bytefer/geo-seo-codex/geo-technical)<a href="https://agentmods.dev/skills/bytefer/geo-seo-codex/geo-technical"><img src="https://agentmods.dev/badge/skills/bytefer/geo-seo-codex/geo-technical.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.05622 |
| Opus 5 | $0.00014 | $0.02811 |
| Sonnet 5 | $0.00006 | $0.01124 |
| Haiku 4.5 | $0.00003 | $0.00562 |
Grade A, and why
geo-technical scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. Fetch each page using curl/WebFetch to get raw HTML and HTTP headers This is a copy
97% identical to geo-technical — 6 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 — 529 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Technical SEO Audit
Purpose
Technical SEO forms the foundation of both traditional search visibility and AI search citation. A technically broken site cannot be crawled, indexed, or cited by any platform. This skill audits 8 categories of technical health with specific attention to GEO requirements — most critically, server-side rendering (AI crawlers do not execute JavaScript) and AI crawler access (many sites inadvertently block AI crawlers in robots.txt).
How to Use This Skill
- Collect the target URL (homepage + 2-3 key inner pages)
- Fetch each page using curl/WebFetch to get raw HTML and HTTP headers
- Run through each of the 8 audit categories below
- Score each category using the rubric
- Generate GEO-TECHNICAL-AUDIT.md with results
Category 1: Crawlability (15 points)
1.1 robots.txt Validity
- Fetch
https://[domain]/robots.txt - Check for syntactic validity: proper
User-agent,Allow,Disallowdirectives - Check for common errors: missing User-agent, wildcards blocking important paths, Disallow: / blocking entire site
- Verify XML sitemap is referenced:
Sitemap: https://[domain]/sitemap.xml
1.2 AI Crawler Access (CRITICAL for GEO)
Check robots.txt for directives targeting these AI crawlers:
| Crawler | User-Agent | Platform |
|---|---|---|
| GPTBot | GPTBot | ChatGPT / OpenAI |
| Google-Extended | Google-Extended | Gemini / Google AI training |
| Googlebot | Googlebot | Google Search + AI Overviews |
| Bingbot | bingbot | Bing Copilot + ChatGPT (via Bing) |
| PerplexityBot | PerplexityBot | Perplexity AI |
| ClaudeBot | ClaudeBot | Anthropic Claude |
| Amazonbot | Amazonbot | Alexa / Amazon AI |
| CCBot | CCBot | Common Crawl (used by many AI models) |
| FacebookBot | FacebookExternalHit | Meta AI |
| Bytespider | Bytespider | TikTok / ByteDance AI |
| Applebot-Extended | Applebot-Extended | Apple Intelligence |
Scoring for AI crawler access:
- All major AI crawlers allowed: 5 points
- Some blocked but Googlebot + Bingbot allowed: 3 points
- GPTBot or PerplexityBot blocked: 1 point (significant GEO impact)
- Googlebot blocked: 0 points (fatal)
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.
- 5d ago First seen · 529 lines · 28 tokens per session scan A 4df4bcf64b05
geo-technical is a skill published in the GitHub repository bytefer/geo-seo-codex (11 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 5,622 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to geo-technical, differing in 6 lines, and is treated as a copy.
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