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 campfront/camp-skills --skill camp-aeogit clone --depth 1 https://github.com/campfront/camp-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/campfront/camp-skills/camp-aeo)<a href="https://agentmods.dev/skills/campfront/camp-skills/camp-aeo"><img src="https://agentmods.dev/badge/skills/campfront/camp-skills/camp-aeo/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/campfront/camp-skills/camp-aeo"><img src="https://agentmods.dev/badge/skills/campfront/camp-skills/camp-aeo.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 | $0.00119 | $0.02697 |
| Opus 5 | $0.00060 | $0.01349 |
| Sonnet 5 | $0.00024 | $0.00539 |
| Haiku 4.5 | $0.00012 | $0.00270 |
Grade A, and why
camp-aeo 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 10d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
camp-aeo
Make yours the camp an AI recommends when a parent asks for one. More parents now open ChatGPT, Gemini, or Perplexity and ask "what's a good overnight camp near us for a shy ten-year-old" instead of scrolling a search page. This skill carries full answer-engine and generative-engine optimization practice, with a camp-specific layer on top.
It is written for you, the agent. Shape the output to the director, but keep the method intact. Answer engines change fast and never guarantee a mention, so give direction rather than promises. Honesty is central here: an assistant recommends camps it can verify, so the goal is to be genuinely accurate, consistent, and reputable, not to trick it.
If the camp-overview skill is available, draw on it for industry context (the directories and advisors parents use, accreditation, how families choose). This skill assumes that grounding but does not require it.
camp-aeo and camp-seo share a foundation: accurate facts, a strong Google Business Profile, genuine reviews, and clean structured data help both. Do not redo that work here; build on it and add the AI-citation layer.
Ask first
Start from what is known, then ask only for the gaps.
1. Read the camp's context before asking anything.
- If a camp profile exists (
.agents/camp-profile.mdor.claude/camp-profile.md), read it for the durable facts (name, type, location, programs, ages, accreditation, voice, positioning). Do not re-ask what it answers. - If no profile exists, offer to capture one with the camp-profile skill, then continue either way.
2. Ask only the task-specific gaps for AI visibility:
- The real questions parents ask an assistant, in their words ("best sleepaway camp near [town] for a first-timer," "affordable summer day camps in [city]," "is [camp] any good").
- Current AI presence: have they checked what ChatGPT, Gemini, or Perplexity say when asked for a camp like theirs? Are they mentioned, and what do the engines get wrong?
- Where their facts already live: site, Google Business Profile, camp directories, association listing, review sites, and whether those facts agree with each other.
- What genuinely makes the camp the right fit for particular families. AI recommends by fit, so this is the raw material.
What ships with it
2 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.
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.
- 10d ago First seen · 144 lines · 119 tokens per session scan A 862302cf103e
camp-aeo is a skill published in the GitHub repository campfront/camp-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 119 tokens to every session and 2,697 once invoked, about $0.0006 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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