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 tdimino/claude-code-minoan --skill geo-seogit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/geo-seo)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/geo-seo"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/geo-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/tdimino/claude-code-minoan/geo-seo"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/geo-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 21 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 404 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 451 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Excessive Agency · line 388 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00131 | $0.06416 |
| Opus 5 | $0.00066 | $0.03208 |
| Sonnet 5 | $0.00026 | $0.01283 |
| Haiku 4.5 | $0.00013 | $0.00642 |
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 8d 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 — 540 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO/SEO: AI Search Visibility Audit & Artifact Generator
Audit a website for AI search visibility across 7 research-grounded dimensions, generate deployable artifacts (llms.txt, schema JSON-LD, robots.txt), and produce a prioritized action plan — all tailored to the site's type and scale.
Complementary to agentic-seo: This skill measures whether content gets cited when humans search via ChatGPT/Perplexity/Google AI Overviews. agentic-seo (run separately via npx agentic-seo ./out) measures whether AI agents can interact with the site (including agent.json manifests, skill discovery, permission systems). Run both for complete coverage.
Arguments
Parse `` for:
- path: Project root to audit (default: current working directory)
- --type: Override auto-detected site type
- --size: Override auto-detected size tier
- --mode:
audit(scorecard only),generate(artifacts only),full(both, default),monitor(compare to previous snapshot)
Workflow
Execute these phases in order: Detect → Audit → Classify → Generate → Report → Cross-reference.
Mode-to-Phase Mapping
| Mode | Detect | Audit | Classify | Generate | Report | Cross-ref |
|---|---|---|---|---|---|---|
full |
Yes | Yes | Yes | Yes | Yes | Yes |
audit |
Yes | Yes | Yes | Skip | Yes | Yes |
generate |
Yes | Skip | Skip | Yes | Yes | Yes |
monitor |
Yes | Yes | Yes | Skip | Yes (diff) | Yes |
Phase 1: Detect Site Profile
Auto-detect site type, size, and framework from codebase signals. Report findings before proceeding.
Site Type Detection
Examine the project for these signals (override with --type):
| Type | Detection Signals |
|---|---|
| ecommerce | Product schema, cart/checkout routes, Shopify/WooCommerce/Stripe markers, product listing templates |
| saas | Pricing page, docs section, API references, login/signup routes, dashboard templates |
| content | Blog templates, author pages, RSS feeds, high content-to-code ratio, CMS markers |
| local | LocalBusiness schema, address/map elements, service area pages, Google Maps embed |
| docs | Versioned docs structure, API reference, sidebar nav config, code blocks predominant |
| personal | Person schema, about page, project showcase, small page count (<20), portfolio layout |
What ships with it
20 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.
- assets/templates/llms-txt/content.txt 906 B
- assets/templates/llms-txt/docs.txt 1.3 KB
- assets/templates/llms-txt/ecommerce.txt 963 B
- assets/templates/llms-txt/local.txt 814 B
- assets/templates/llms-txt/personal.txt 777 B
- assets/templates/llms-txt/saas.txt 1.2 KB
- assets/templates/robots-ai-block.txt 1.8 KB
- assets/templates/schema/content.json 1.6 KB
- assets/templates/schema/docs.json 1.4 KB
- assets/templates/schema/ecommerce.json 1.8 KB
- assets/templates/schema/local.json 1.4 KB
- assets/templates/schema/personal.json 1.1 KB
- assets/templates/schema/saas.json 1.9 KB
- README.md 7.3 KB
- references/ai-crawlers.md 7.4 KB
- references/engine-profiles.md 8.4 KB
- references/llms-txt-spec.md 3.8 KB
- references/research-basis.md 10 KB
- references/schema-patterns.md 10 KB
- references/scoring-rubric.md 12 KB
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.
- 8d ago First seen · 540 lines · 131 tokens per session scan A 4a811319a53d
geo-seo is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It adds 131 tokens to every session and 6,416 once invoked, about $0.0007 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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