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 yaojingang/GEOHub --skill geo-contentgit clone --depth 1 https://github.com/yaojingang/GEOHubWrote 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/yaojingang/geohub/geo-content)<a href="https://agentmods.dev/skills/yaojingang/geohub/geo-content"><img src="https://agentmods.dev/badge/skills/yaojingang/geohub/geo-content/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/yaojingang/geohub/geo-content"><img src="https://agentmods.dev/badge/skills/yaojingang/geohub/geo-content.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00083 | $0.00329 |
| Opus 5 | $0.00042 | $0.00164 |
| Sonnet 5 | $0.00017 | $0.00066 |
| Haiku 4.5 | $0.00008 | $0.00033 |
Grade A, and why
geo-content 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 10d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
16 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.
- agents/interface.yaml 2.2 KB
- evals/output/cases.jsonl 2.2 KB
- evals/semantic_config.json 345 B
- evals/trigger_cases.json 424 B
- manifest.json 1.4 KB
- references/content-method.md 1.2 KB
- references/content-pipeline-v2.md 983 B
- references/evidence-policy.md 1.2 KB
- references/input-example.json 994 B
- references/mcda-policy.md 720 B
- references/modes.md 1.4 KB
- references/output-contract.md 900 B
- reports/output_quality_scorecard.md 447 B
- reports/skill-ir.json 3.2 KB
- reports/trust-report.md 320 B
- scripts/run_content.py 436 B runs code
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.
- 10d ago First seen · 19 lines · 83 tokens per session scan A 00d39d9a4b3c
geo-content is a skill published in the GitHub repository yaojingang/GEOHub (154 stars, last pushed 9d ago), licensed AGPL-3.0. It adds 83 tokens to every session and 329 once invoked, about $0.0004 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
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-visibility
Get cited and recommended by AI engines (ChatGPT, AI Overviews and AI Mode, Perplexity, Claude, Gemini). Input: a page or piece of content. Output: passage-level citability fixes (answer-first H2 blocks, self-contained chunks, definitions, sourced stats, comparison tables), a 5-pillar GEO score (0-100), an AI-crawler…
seo-content-collection-page
Optimize e-commerce collection, category, and product listing pages (PLPs) for Google and AI assistants. Input: a collection or category page (Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, or custom). Output: a bottom-of-page SEO text block, faceted-navigation and filter URL control, pagination canonicals…
seo-content-product-page
Optimize e-commerce product pages (PDPs) for Google and for AI assistants that now recommend products directly. Input: a product page or description (Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, Wix, Webflow, or custom). Output: a rewritten PDP with unique copy, FAQ and definition blocks, review and…
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.