SkillHub

seo-geo-qa

v2.0.4

Check blog posts and articles before publishing. Finds broken links, weak sources, missing SEO elements, and citation problems. Use when: reviewing a draft, auditing content quality, checking if links still work, verifying sources are credible, running pre-publish QA, or doing post-publish page chec...

Sourced from ClawHub, Authored by justinbao19

Installation

Please help me install the skill `seo-geo-qa` from SkillHub official store. npx skills add justinbao19/seo-geo-qa

SEO Content QA

Use this skill to audit content reliability before or after publishing.

Requirements

  • Python 3.10+ (scripts use modern type syntax)
  • curl available in PATH (for HTTP HEAD checks)
  • No pip dependencies — standard library only

Quick start

Run the unified runner for normal draft review:

python3 skills/seo-geo-qa/scripts/seo_qa_runner.py path/to/article.md --keyword "best email apps"

If you know the site's main domain, pass it so internal vs external links are counted correctly:

python3 skills/seo-geo-qa/scripts/seo_qa_runner.py path/to/article.md --keyword "best email apps" --site-domain example.com

If you want project defaults, pass a lightweight JSON config:

python3 skills/seo-geo-qa/scripts/seo_qa_runner.py path/to/article.md --keyword "best email apps" --config path/to/seo-geo-qa.json

Standard workflow

  1. Run seo_qa_runner.py on the draft.
  2. Read the markdown report for the human audit trail.
  3. Use the JSON report for automation or later aggregation.
  4. Fix critical issues first.
  5. Re-run until the article reaches PASS (or REVISE in writer mode).
  6. After publishing, run post_publish_check.py on the live URL.

Lower-level tools

Use these only when debugging a specific failure mode.

Link/source verification

python3 skills/seo-geo-qa/scripts/verify_links.py path/to/article.md
python3 skills/seo-geo-qa/scripts/verify_links.py path/to/article.md --json

SERP gap analysis

Note: Auto-search uses DuckDuckGo's HTML endpoint, which may be blocked or return empty results depending on your environment. For reliable results, pass competitor URLs directly with --urls.

# Auto-search (best-effort, may degrade)
python3 skills/seo-geo-qa/scripts/serp_gap_analyzer.py "best email apps" path/to/article.md

# Recommended: supply competitor URLs directly
python3 skills/seo-geo-qa/scripts/serp_gap_analyzer.py "best email apps" path/to/article.md --urls https://competitor1.com https://competitor2.com

Post-publish page check

python3 skills/seo-geo-qa/scripts/post_publish_check.py https://example.com/blog/post
python3 skills/seo-geo-qa/scripts/post_publish_check.py https://example.com/blog/post --json

Report persistence

The runner writes timestamped markdown + JSON reports by default.

Default behavior: - saves to qa-reports/<article-slug>/ next to the article - does not overwrite old reports - uses markdown for human review and JSON for machine state

Override with --report-dir or config.

Configuration

Read references/configuration.md when you need project-level defaults.

Source quality

Read references/source-tiers.md when you need to decide whether a citation is acceptable.

Verdict rules

Read references/verdict-rules.md when you need to tune PASS / FAIL / REVISE behavior.

Example output

Read references/example-report.md for a real QA report with annotations on how to interpret each section.

Design intent

This skill is not a writing assistant. It is a reliability layer.

Use scripts for deterministic checks. Use AI judgment for tone, search intent, framing, and final editorial decisions.