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 The-AI-Directory-Company/agents-and-skills --skill off-page-sgeogit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skillsWrote 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/the-ai-directory-company/agents-and-skills/off-page-sgeo)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/off-page-sgeo"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/off-page-sgeo/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/the-ai-directory-company/agents-and-skills/off-page-sgeo"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/off-page-sgeo.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 | $0.00048 | $0.04948 |
| Opus 5 | $0.00024 | $0.02474 |
| Sonnet 5 | $0.00010 | $0.00990 |
| Haiku 4.5 | $0.00005 | $0.00495 |
Grade A, and why
off-page-sgeo 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Off-Page SGEO Authority
Before you start
Gather the following from the user. If anything is missing, ask before proceeding:
- What is the business domain and URL? (Primary website to build authority for)
- What is the current backlink profile? (Number of referring domains, domain authority/rating if known — check Ahrefs, Moz, or Semrush)
- Where does the brand already have presence? (LinkedIn, Reddit, YouTube, Twitter/X, GitHub, industry forums — list all active accounts)
- What content assets are available for promotion? (Guides, free tools, original research, data studies, templates)
- Who are the main competitors? (3-5 domains that already have authority in your space)
- What is the budget for outreach and PR? (None, small <$500/mo, moderate $500-2000/mo, significant >$2000/mo)
- Is AI citation a priority? (Whether appearing in ChatGPT, Perplexity, Claude, Gemini responses matters for the business)
- What is the industry/niche? (Determines which communities, publications, and platforms matter most)
Tool discovery
Before gathering project details, confirm which tools are available. Ask the user directly — do not assume access to any external service.
Free tools (no API key required):
- WebFetch (fetch any public URL — robots.txt, sitemaps, pages)
- WebSearch (search engine queries for competitive analysis)
- Google PageSpeed Insights API (CWV data, no key needed for basic usage)
- Google Rich Results Test (structured data validation)
- Playwright MCP or Chrome DevTools MCP (browser automation)
Paid tools (API key or MCP required):
- Google Search Console API (requires OAuth)
- DataForSEO MCP (SERP data, keyword metrics, backlinks)
- Ahrefs API (backlink profiles, keyword research)
- Semrush API (competitive analysis, keyword data)
The agent must:
- Present this checklist to the user
- Record which tools are available
- Pass the inventory to scripts as context
- Fall back gracefully — every check has a free-tier path using WebFetch/WebSearch
What ships with it
12 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.
- references/ai-citation-platforms.md 18 KB
- references/ai-visibility-measurement.md 12 KB
- references/backlink-strategy.md 8.3 KB
- references/brand-mentions.md 7.2 KB
- references/digital-pr.md 9.7 KB
- scripts/analyze-competitor-authority.py 8.2 KB runs code
- scripts/audit-platform-presence.py 8.2 KB runs code
- scripts/check-backlink-profile.py 6.4 KB runs code
- scripts/find-link-opportunities.py 9.0 KB runs code
- scripts/monitor-brand-mentions.py 7.5 KB runs code
- scripts/probe-ai-visibility.py 9.9 KB runs code
- scripts/track-ai-referrers.py 7.8 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.
- 9d ago First seen · 341 lines · 48 tokens per session scan A d9da8d744f0c
off-page-sgeo is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 4,948 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 2026-09-03.
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