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 humanerd-drew/opencode-drewgent --skill geo-seogit clone --depth 1 https://github.com/humanerd-drew/opencode-drewgentWrote 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/humanerd-drew/opencode-drewgent/geo-seo)<a href="https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/geo-seo"><img src="https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/geo-seo.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 | $0.00057 | $0.04020 |
| Opus 5 | $0.00028 | $0.02010 |
| Sonnet 5 | $0.00011 | $0.00804 |
| Haiku 4.5 | $0.00006 | $0.00402 |
Grade A, and why
geo-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 3d 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 — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO-first SEO — Generative Engine Optimization for {{AGENT_NAME}}
GEO(Generative Engine Optimization) + 전통 SEO를 동시에 다룬다. AI 검색 엔진(ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews)이 콘텐츠를 발견·인용·요약하기 좋게 만드는 것이 목표다.
이 스킬은 {{AGENT_NAME}}의 WordPress 사이트(YOUR_DOMAIN), Cloudflare Workers, Obsidian vault를 대상으로 GEO 원칙을 적용한다.
1. GEO Fundamentals for {{AGENT_NAME}}
1.1 What changed in AI search
- Query → Answer: 사용자가 링크 목록을 받는 대신 AI가 직접 답변을 생성한다.
- Citation as currency: AI가 브랜드를 언급/인용하는 빈도가 새로운 가치 척도다.
- Entity-first: 키워드 매칭보다 브랜드/인물/조직의 entity 인식이 중요하다.
- Passage retrieval: 전체 페이지가 아닌 특정 문단/정의 블록이 인용된다.
1.2 GEO vs SEO
| 구분 | SEO | GEO |
|---|---|---|
| 최적화 대상 | Googlebot, Bingbot | GPTBot, ClaudeBot, PerplexityBot, Google-Extended |
| 성공 지표 | Ranking, CTR, impressions | AI mention, citation count, brand recall |
| 핵심 자산 | Backlinks | Brand mentions, entity signals, citability |
| 콘텐츠 단위 | Page | Passage / answer block |
| 구조 자산 | Sitemap, meta tags | llms.txt, schema, answerable headings |
1.3 {{AGENT_NAME}}-specific GEO surface
| 자산 | GEO 활용 |
|---|---|
WordPress (YOUR_DOMAIN) |
공개 블로그/랜딩 페이지 — AI 크롤러 대상 |
| Cloudflare Workers | llms.txt 서빙, 검증용 micro audit endpoint |
| Obsidian vault (P2/P4/P5) | 날짜/통계/인용 출처가 풍부한 지식 원천 |
| seo-article-harvester | Google/AI 검색 알고리즘 변화를 실시간 감지 |
2. AI Crawler Access — robots.txt + llms.txt
2.1 robots.txt
WordPress 루트의 robots.txt 또는 Cloudflare Workers rewrite 응답에 다음을 포함한다.
User-agent: GPTBot
Disallow: /wp-admin/
Allow: /
User-agent: ClaudeBot
User-agent: Claude-Web
Disallow: /wp-admin/
Allow: /
User-agent: PerplexityBot
Disallow: /wp-admin/
Allow: /
User-agent: Google-Extended
Disallow: /wp-admin/
Allow: /
User-agent: *
Disallow: /wp-admin/
Allow: /
2.2 llms.txt
https://YOUR_DOMAIN/llms.txt에 사이트의 정체성과 중요 경로를 요약한다.
# llms.txt for YOUR_DOMAIN
## About
YOUR_DOMAIN is {{AGENT_NAME}}'s public lab and blog on AI-native workflows,
Cloudflare Workers, and agentic systems. Primary language: Korean.
## Key pages
- /about — organization and author background
- /blog — latest essays on AI engineering
- /lab — open experiments and tools
- /skills — {{AGENT_NAME}} skill catalog
## Crawl policy
- Allowed for all AI crawlers.
- Do not train on private member-only content under /member/.
## Contact
Your Name — [email protected]
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.
- 3d ago First seen · 384 lines · 57 tokens per session scan A e7acf26a09aa
geo-seo is a skill published in the GitHub repository humanerd-drew/opencode-drewgent (2 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 4,020 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 2026-09-03.
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