SkillsAdd

yaojingang/geohub · Archived

geo-measure

Measure GEO visibility from an approved, file-backed engine observation bundle.

First seen Aug 11, 2026

Installation

$ npx skills add yaojingang/geohub --skill geo-measure
View on skills.sh ↗ GitHub repository ↗

Summary

  • 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.

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

seo Same source
yaojingang/geohub

Turn one natural-language request into an evidence-bounded SEO work plan across technical SEO, …

2 installs
geo-discover Same source
yaojingang/geohub

Discover evidence-aware GEO questions, query rewrites, intent clusters, and prioritized content…

2 installs
geo-diagnose Same source
yaojingang/geohub

Diagnose a brand, website, or page for evidence-backed GEO gaps and opportunities from user-sup…

2 installs
geo-content Same source
yaojingang/geohub

Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page…

2 installs

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

measure Similar name
ghaida/intent

Defines and tracks UX success through metrics, measurement frameworks, and experimentation. Par…

1.6K installs
readable-measure Similar name
owl-listener/designer-skills

Set line length and measure for comfortable reading across type sizes and breakpoints. Use when…

1.1K installs
brand-measurement Similar name
arnabbagxd/brand-building-skills

Define KPIs, metrics, and tracking systems to measure brand health, awareness, perception, and …

17 installs
social-measurement-loop Similar name
aaron-he-zhu/aaron-marketing-skills

Use when the user asks to "run the weekly social readout", "which denominator does our engageme…

11 installs
paid-measurement-loop Similar name
aaron-he-zhu/aaron-marketing-skills

Use when the user asks to "read back" a paid campaign change, "did this ad change work", or "co…

9 installs
measure-dashboard-requirements Similar name
product-on-purpose/pm-skills

Specifies what questions a dashboard must answer and the metrics, visualizations, filters, and …

1 installs

Also in this package

Other skills from yaojingang/geohub.

npx skills add yaojingang/geohub
seo 2 geo-discover 2 geo-diagnose 2 geo-content 2 geo 2 geo-site-diagnose 1 geo-strategy 1 geo-knowledge 1

Browse all from yaojingang/geohub

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 154
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,410 B
  • docs SUMMARY.md 367 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

GEO Measure

Workflow

  1. Read references/measurement-method.md and verify collection permission.
  2. Prepare a protocol 1.0.0 engine observation bundle from manual export, approved API, or recorded fixture.
  3. Run python3 scripts/run_measure.py --input <bundle.json> --output <runs-root>.
  4. Inspect visibility-report.json, quality-report.json, and run-lineage.json; surface every gap and collection limitation.
  5. 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.