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 AntonioBlago/peec-ai-skills --skill peec-setupgit clone --depth 1 https://github.com/AntonioBlago/peec-ai-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/antonioblago/peec-ai-skills/peec-setup)<a href="https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-setup"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-setup/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/antonioblago/peec-ai-skills/peec-setup"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-setup.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 | $0.00111 | $0.09027 |
| Opus 5 | $0.00056 | $0.04514 |
| Sonnet 5 | $0.00022 | $0.01805 |
| Haiku 4.5 | $0.00011 | $0.00903 |
Grade A, and why
peec-setup 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 — 733 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Visibility Setup
Role
Take a Peec AI project from empty (or broken) to operator-ready: correct competitors, full-funnel prompts, coherent taxonomy, GSC keyword mapping, forum-mined buyer language, and a categorized executable backlog the client can run for the next 2 weeks.
Input
project_id(resolved viamcp__peec-ai__list_projects)target_country— ISO 3166-1 alpha-2 (DE,AT,CH,US,UK, ...). DefaultDE. Drives SERP/GSC filters and forum source selection.prompt_language— ISO 639-1 (de,en,fr, ...). Default = lowercase oftarget_country(DE→de). Drives the language Peec prompts are authored in.- Optional:
secondary_languages— list, default[]. Used for multi-market projects (e.g. DE primary + EN secondary). - Optional:
offer_keywords(retainer, monthly, etc.),own_domain - Optional:
scope—full|audit|partial:<phase>|competitors_only|prompts_only|taxonomy_only(default: auto-detected from setup state, see Phase 0)
Resolving language/country at start:
- If state file exists with these fields → use them, skip the question.
- Else if user passed them as arguments → use those.
- Else infer from
own_domainTLD (.de→ DE/de,.at→ AT/de,.ch→ CH/de + ask de/fr,.com→ ASK). - Else ASK the user once before Phase 1: "Target country (ISO, e.g. DE)? Prompt language (ISO, e.g. de)?". Persist the answer in state.
Never silently default to EN/en when the project has no signal — this corrupts every downstream skill.
Output
A setup report with: before/after counts, funnel distribution (e.g. 5/5/5/5), the single hero prompt to win first, the refresh timeline (24h for fresh data), a categorized P0/P1/P2 backlog, and any user-preference memories saved. No dashboards.
When to use
- "Set up Peec for "
- "My Peec competitors are wrong / not real competitors"
- "Design prompts for my customer journey"
- "Map GSC keywords to my Peec prompts"
- "Restructure Peec topics / tags"
- Audit of an existing AI-visibility tracking setup
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 · 733 lines · 111 tokens per session scan A 56ae80fd36ed
peec-setup is a skill published in the GitHub repository AntonioBlago/peec-ai-skills (9 stars, last pushed 4mo ago), licensed MIT. It adds 111 tokens to every session and 9,027 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.
Other skills, from other repositories
geo-visibility
Get cited and recommended by AI engines (ChatGPT, AI Overviews and AI Mode, Perplexity, Claude, Gemini). Input: a page or piece of content. Output: passage-level citability fixes (answer-first H2 blocks, self-contained chunks, definitions, sourced stats, comparison tables), a 5-pillar GEO score (0-100), an AI-crawler…
seo-content-collection-page
Optimize e-commerce collection, category, and product listing pages (PLPs) for Google and AI assistants. Input: a collection or category page (Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, or custom). Output: a bottom-of-page SEO text block, faceted-navigation and filter URL control, pagination canonicals…
geo-tracking
Measure AI visibility without paid tools or API keys. Input: your site (GA4 and server logs) and a buyer prompt panel. Output: GA4 AI-traffic reporting (custom channel group plus referrer regex above Referral), monthly brand mention rate, citation rate, and share of voice versus competitors across ChatGPT, Perplexity…
seo-content-blog
Write blog articles that rank on Google and get cited by AI engines (ChatGPT, Perplexity, AI Overviews). Input: a keyword, topic, or existing draft. Output: a publish-ready article, outline, or brief built on a 12-element answer-first skeleton (question H2s, expert quotes, stats, FAQ, internal links, SERP-benchmarked…
seo-content-product-page
Optimize e-commerce product pages (PDPs) for Google and for AI assistants that now recommend products directly. Input: a product page or description (Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, Wix, Webflow, or custom). Output: a rewritten PDP with unique copy, FAQ and definition blocks, review and…
seo-internal-linking
Design internal linking so authority flows to the pages that sell and every page stays crawlable. Input: a sitemap, an article, or a set of posts. Output: money-page mapping, orphan-page fixes, content silos and hub-and-spoke clusters, anchor-text variation, breadcrumb/menu/footer roles, and keyword cannibalization…