yaojingang/geohub · Archived

geo-diagnose

Diagnose a brand, website, or page for evidence-backed GEO gaps and opportunities from user-supplied URLs, HTML, or evidence.

First seen Aug 11, 2026

Installation

$ npx skills add yaojingang/geohub --skill geo-diagnose

Summary

  • Diagnose a brand, website, or page for evidence-backed GEO gaps and opportunities from user-supplied URLs, HTML, or evidence.
  • Use for brand diagnosis, website or page audits, GEO gap analysis, and 品牌诊断、网站诊断、页面诊断.
  • Excludes live AI-platform recall, ranking, and citation-share measurement.

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Also in this package

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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 1,761 B
  • docs SUMMARY.md 335 B

History

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

SKILL.md

GEO Diagnose

Workflow

  1. Read references/diagnosis-method.md; read references/audit-catalog.md for non-legacy audit execution.
  2. Prepare the diagnosis brief contract.
  3. Run python3 scripts/run_diagnose.py --input <brief.json> --output <runs-root> --execution-mode <legacy|deterministic|research|provider>. Legacy remains the compatibility default.
  4. Inspect quality-report.json, run-lineage.json, source_status, audit components, and limitations before using findings.
  5. Deliver the complete Artifact Bus run directory.

Output contract

Return <runs-root>/<run-id>/ containing the normalized input and replayable HTML snapshots under input/sources/, structured diagnosis, deterministic Markdown report, evidence-linked remediation query map, opportunity map, quality report, run lineage, and run manifest. Non-legacy diagnosis adds versioned audit results, reconstructable score components, execution status, and a semantic digest to diagnosis.json.

Boundaries

Fetch only explicit public HTTP(S) canonical URLs without query strings. Accept remote HTML/XHTML only and keep unavailable or unsupported sources as source_gap. Every observed, provided, or inferred finding carries a content-derived evidence ID. Provider audit mode has no packaged adapter and records a degraded deterministic fallback. Never claim live AI-platform recall, ranking, or citation share.