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.
npx skills add arpitexplores/skills-super --skill super-seo-foundationgit clone --depth 1 https://github.com/arpitexplores/skills-superWrote 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.
[](https://agentmods.dev/skills/arpitexplores/skills-super/super-seo-foundation)<a href="https://agentmods.dev/skills/arpitexplores/skills-super/super-seo-foundation"><img src="https://agentmods.dev/badge/skills/arpitexplores/skills-super/super-seo-foundation/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.
<a href="https://agentmods.dev/skills/arpitexplores/skills-super/super-seo-foundation"><img src="https://agentmods.dev/badge/skills/arpitexplores/skills-super/super-seo-foundation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00430 |
| Opus 5 | $0.00018 | $0.00215 |
| Sonnet 5 | $0.00007 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
super-seo-foundation 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 11d ago.
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.
What it actually says
Super SEO Foundation
Overview
Single entry point for technical SEO work. Routes requests to the correct module and asks only minimal questions.
User Intent Examples
- "Need help with SEO Audit for my product/site."
- "Create a plan for Google SEO Tooling."
- "Audit or improve Schema & Technical SEO."
Capabilities
- Full or lightweight SEO audits
- Technical checks (crawl, index, CWV, headers)
- Schema, sitemaps, hreflang, images
- Google Search Console / PageSpeed / CrUX workflows
Routing Map (Modules)
- SEO Audit ->
references/modules/seo-audit.md - Google SEO Tooling ->
references/modules/seo-google.md - Schema & Technical SEO ->
references/modules/seo-schema.md
Default Flow
- If a URL is provided, run the full audit module.
- If no URL, ask for the URL and target market.
- If user asks a specific area (schema, CWV, etc.), jump to that module.
Minimal Intake Questions
Ask only what’s missing:
- Primary URL(s)
- Target market/region (if relevant)
- Scope (full site vs single page) if unclear
Output Format
- Audit summary
- Prioritized fixes (impact/effort)
- Validation checklist
- Risks and next steps
Bundled References
references/modules/scripts/assets/agents/
Compatibility Notes
- If any module references slash commands or tool-specific paths, translate them into plain-language steps.
- Keep outputs platform-agnostic unless the user specifies a specific tool, stack, or agent.
Guardrails
- Do not claim live metrics without data.
- Separate confirmed issues from hypotheses.
- Make each fix actionable and testable.
What ships with it
60 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.
- agents/openai.yaml 177 B
- assets/screenshots/cover-image.jpeg 462 KB
- assets/screenshots/seo-audit-demo.gif 644 KB
- assets/screenshots/seo-command-demo.gif 955 KB
- CHANGELOG.md 554 B
- examples/README.md 537 B
- INSTALL.md 2.5 KB
- README.md 7.1 KB
- references/modules/seo-audit.md 209 KB
- references/modules/seo-google.md 81 KB
- references/modules/seo-schema.md 85 KB
- scripts/analyze_visual_alt1.py 6.4 KB runs code
- scripts/analyze_visual.py 6.9 KB runs code
- scripts/article_seo.py 28 KB runs code
- scripts/broken_links.py 8.3 KB runs code
- scripts/capture_screenshot_alt1.py 4.3 KB runs code
- scripts/capture_screenshot.py 5.4 KB runs code
- scripts/competitor_gap.py 10 KB runs code
- scripts/crux_history.py 10 KB runs code
- scripts/duplicate_content.py 11 KB runs code
- scripts/entity_checker.py 17 KB runs code
- scripts/fetch_page_alt1.py 4.6 KB runs code
- scripts/fetch_page.py 6.1 KB runs code
- scripts/finding_verifier.py 4.9 KB runs code
- scripts/ga4_report.py 17 KB runs code
- scripts/generate_report.py 70 KB runs code
- scripts/github_api.py 13 KB runs code
- scripts/github_community_health.py 8.9 KB runs code
- scripts/github_competitor_research.py 17 KB runs code
- scripts/github_readme_lint.py 15 KB runs code
- scripts/github_repo_audit.py 21 KB runs code
- scripts/github_search_benchmark.py 7.7 KB runs code
- scripts/github_seo_report.py 32 KB runs code
- scripts/github_traffic_archiver.py 6.3 KB runs code
- scripts/google_auth.py 26 KB runs code
- scripts/google_report.py 79 KB runs code
- scripts/gsc_checker.py 11 KB runs code
- scripts/gsc_inspect.py 11 KB runs code
- scripts/gsc_query.py 13 KB runs code
- scripts/hreflang_checker.py 23 KB runs code
- scripts/indexing_notify.py 9.8 KB runs code
- scripts/indexnow_checker.py 9.9 KB runs code
- scripts/internal_links.py 10 KB runs code
- scripts/keyword_planner.py 11 KB runs code
- scripts/link_profile.py 13 KB runs code
- scripts/llms_txt_checker.py 7.4 KB runs code
- scripts/nlp_analyze.py 10 KB runs code
- scripts/pagespeed_check.py 23 KB runs code
- scripts/pagespeed.py 10 KB runs code
- scripts/parse_html_alt1.py 6.7 KB runs code
- scripts/parse_html.py 5.6 KB runs code
- scripts/pre_commit_seo_check.sh 2.9 KB runs code
- scripts/pyproject.toml 355 B
- scripts/readability.py 14 KB runs code
- scripts/redirect_checker.py 6.1 KB runs code
- scripts/requirements.txt 1.1 KB
- scripts/robots_checker.py 7.2 KB runs code
- scripts/security_headers.py 6.7 KB runs code
- scripts/social_meta.py 8.6 KB runs code
- scripts/validate_schema.py 4.3 KB runs code
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.
- 11d ago First seen · 59 lines · 37 tokens per session scan A e17fef859872
super-seo-foundation is a skill published in the GitHub repository arpitexplores/skills-super (2 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 430 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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