How do I install the Geo Measure skill?

Run npx skillmds@latest add yaojingang/geo-measure in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Geo Measure safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Geo Measure?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Geo Measure free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Geo Measure?

yaojingang (@yaojingang) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Geo Measure

Name: Geo Measure
Author: yaojingang

Measure GEO visibility from an approved, file-backed engine observation bundle. Use for AI answer mention rate, source inclusion, citation share, query-panel coverage, GEO monitoring, 监测 AI 可见度, 衡量 GEO 效果, and offline baseline comparison. Exclude live scraping, platform login, automated collection, and unsupported causal claims.

yaojingang 18231cf 13 files · 13.6 KB Updated Sep 17, 2026

Research & Search

Install

Press C to copy

$ npx skillmds@latest add yaojingang/geo-measure

Installs into ~/.claude/skills (or .claude/skills inside a project). Restart Claude Code to pick it up.

Download .zip

＋ Add to collection

README badge

[![SkillMD](https://skillmd.com/badge/yaojingang/geo-measure.svg)](https://skillmd.com/skills/yaojingang/geo-measure)

Trust & safety

Audits pending

Not yet audited · commit 18231cf

Works with: Claude Code Claude.ai OpenAI Codex +

File contents

GEO Measure

Workflow

Read references/measurement-method.md and verify collection permission.
Prepare a protocol 1.0.0 engine observation bundle from manual export, approved API, or recorded fixture.
Run python3 scripts/run_measure.py --input <bundle.json> --output <runs-root>.
Inspect visibility-report.json, quality-report.json, and run-lineage.json; surface every gap and collection limitation.
Deliver the Artifact Bus run directory as the output contract.

Output contract

Produce the input snapshot, visibility-report.json, quality-report.json, run-lineage.json, and run-manifest.json. Preserve query-level components, per-engine metrics, numerators, denominators, missing counts, panel version, and semantic digest.

Boundaries

Measurement is offline and file-backed. It never logs in, scrapes consumer AI pages, bypasses access controls, or turns recorded fixtures into live-effect evidence. Read references/output-contract.md before making a comparison claim.

yaojingang/geo-seo-hub/tree/main/skills/geo-measure commit 18231cf853

Frequently asked questions

npx skillmds@latest add yaojingang/geo-measure