geo

geo is a skill for Claude Code, Codex from liangdabiao/GEO-Content-Optimizer-Skill. It costs 274 tokens per session (4,990 once invoked), scanned A, original, no licence file.

A workflow for improving how a product website appears in answers from AI search tools. It diagnoses a site, samples AI answers, creates implementation tasks and website assets, checks whether the tasks are complete, and packages the results for delivery.

In plain words
What is it for?
Use it to run GEO projects for a product website, create items such as JSON-LD, FAQ content, and llms.txt, monitor AI visibility, and produce recurring reports and client deliverables.
Why use it?
It brings research, planning, content production, checking, and reporting into one process. It also separates measurements for Chinese and overseas AI markets.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to run GEO projects for a product website, create items such as JSON-LD, FAQ content, and llms.txt, monitor AI visibility, and produce recurring reports and client deliverables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liangdabiao/geo-content-optimizer-skill/geolook
Install

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.

Any agent
npx skills add liangdabiao/GEO-Content-Optimizer-Skill --skill geolook
Clone the repo
git clone --depth 1 https://github.com/liangdabiao/GEO-Content-Optimizer-Skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for geo

README.md
[![agentmods](https://agentmods.dev/badge/skills/liangdabiao/geo-content-optimizer-skill/geolook/github.svg)](https://agentmods.dev/skills/liangdabiao/geo-content-optimizer-skill/geolook)
Your own site
<a href="https://agentmods.dev/skills/liangdabiao/geo-content-optimizer-skill/geolook"><img src="https://agentmods.dev/badge/skills/liangdabiao/geo-content-optimizer-skill/geolook/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.

agentmods 80×15 button for geo

Your own site · 80×15
<a href="https://agentmods.dev/skills/liangdabiao/geo-content-optimizer-skill/geolook"><img src="https://agentmods.dev/badge/skills/liangdabiao/geo-content-optimizer-skill/geolook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 274 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,990 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00274 $0.04990
Opus 5.5 $0.00110 $0.01996
Sonnet 5.5 $0.00055 $0.00998
Haiku 4.5 $0.00027 $0.00499

Measured 2mo ago against content hash 622c7e18d93e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

geo 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 2mo ago.

The scan reads SKILL.md. This mod also ships 29 executable files (scripts/analytics.py, scripts/audit.py, scripts/benchmark.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/geolook/SKILL.md · 333 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

59 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.

Changes

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.

  1. 2mo ago First seen · 333 lines · 274 tokens per session scan A 622c7e18d93e

Subscribe to this mod's changes

geo is a skill published in the GitHub repository liangdabiao/GEO-Content-Optimizer-Skill (233 stars, last pushed 3mo ago), with no licence file. It adds 274 tokens to every session and 4,990 once invoked, about $0.0011 per session on Opus 5.5. 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.

Related

geo compared with skills from other repositories

geo next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
geoliangdabiao/GEO-Content-Optimizer-SkillSkill2333mo agononeA274Claude Code, Codex
claude-md-improveranthropics/claude-plugins-officialSkill46kyesterdayApache-2.0A82Claude Code
agent-platform-model-registrygoogle/skillsSkill22kyesterdayApache-2.0A60Claude Code, Codex
gke-reliabilitygoogle/skillsSkill22kyesterdayApache-2.0A85Claude Code, Codex
gke-workload-securitygoogle/skillsSkill22kyesterdayApache-2.0A171Claude Code, Codex
google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skillsSkill22kyesterdayApache-2.0A132Claude Code, Codex
glance-canonical-layoutsandroid/skillsSkill10kyesterdayApache-2.0A56Claude Code