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 maxschottke-spec/seo-survival-kit --skill ai-search-rescuegit clone --depth 1 https://github.com/maxschottke-spec/seo-survival-kitWrote 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/maxschottke-spec/seo-survival-kit/ai-search-rescue)<a href="https://agentmods.dev/skills/maxschottke-spec/seo-survival-kit/ai-search-rescue"><img src="https://agentmods.dev/badge/skills/maxschottke-spec/seo-survival-kit/ai-search-rescue/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/maxschottke-spec/seo-survival-kit/ai-search-rescue"><img src="https://agentmods.dev/badge/skills/maxschottke-spec/seo-survival-kit/ai-search-rescue.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 | $0.00149 | $0.03690 |
| Opus 5 | $0.00075 | $0.01845 |
| Sonnet 5 | $0.00030 | $0.00738 |
| Haiku 4.5 | $0.00015 | $0.00369 |
Grade A, and why
ai-search-rescue 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 12d 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Search Rescue
Overview
A framework for recovering and growing visibility in AI search surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Bing Copilot, Claude.ai search. The mechanics differ from classical SERP-ranking: instead of position 1-10 of a result list, you are competing to be the source the LLM cites in a generated answer.
Two operational findings drive this skill:
- AI citations may lead classical SERP recovery by several weeks. In one mid-sized e-commerce recovery (March 2026 Core Update), AI-Mode + AI-Overviews + ChatGPT citations started moving up roughly 2–6 weeks before the Sistrix VI did. The pattern is an observation from a single case plus published anecdata, not a measured statistical relationship. Treat it as an indicator worth watching, not a prediction. If you observe the same or opposite pattern in your own recoveries, please contribute the data point back to
LESSONS.md. - The optimization isn't keyword targeting, it's passage targeting. AI surfaces extract short passages (one sentence to one paragraph) that directly answer a sub-question of the user's prompt. If your page has no extractable passages, you don't get cited even when you rank #1 organically.
When to use
- A site that recovered organic rankings but is invisible in AI Overviews
- Owner says "ChatGPT keeps recommending our competitor, never us"
- Site has thin or unstructured content that AI surfaces can't extract from
- Post-Core-Update recovery work — track AI citations as leading recovery indicator
- New domain/topic launch — set up for AI-citability from day one
- B2B / YMYL site (medical, legal, financial) — AI surfaces over-index on authoritative sources here
Don't use for:
- Pure SERP-position optimization (use
seo-outreach-report+competitor-deep-audit) - Local-pack / Map-pack work (different mechanics)
- Pure e-commerce product-page conversion (different lever)
How AI surfaces choose what to cite
Different surfaces, similar mechanics. The model receives a user query, retrieves candidate documents (via search index or RAG), and assembles a generated answer. Two questions determine if you make it in:
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.
- 12d ago First seen · 260 lines · 149 tokens per session scan A a77e81769fe3
ai-search-rescue is a skill published in the GitHub repository maxschottke-spec/seo-survival-kit (9 stars, last pushed 1mo ago), licensed MIT. It adds 149 tokens to every session and 3,690 once invoked, about $0.0007 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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