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-startgit 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-start)<a href="https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-start"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-start/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-start"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-start.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 | $0.00116 | $0.01534 |
| Opus 5 | $0.00058 | $0.00767 |
| Sonnet 5 | $0.00023 | $0.00307 |
| Haiku 4.5 | $0.00012 | $0.00153 |
Grade A, and why
peec-start 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.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start Peec
Role
The single entry point for any Peec AI growth-loop session. Reads state, decides which skill is responsible for the next move, hands off. No content production, no analysis — pure dispatch.
Input
None. The skill resolves everything from <cwd>/growth_loop/setup_state.json and (if missing) live Peec calls.
Output
A 4–8 line decision block, then exactly one skill invocation as the next step. Nothing more.
When to use
- Opening a Peec growth session and unsure where to start
- Periodic ritual ("what's the move this week?")
- After onboarding a new project that already has data in Peec
- When a hook injects
=== PEEC PROJECT DETECTED ===context
Do not use when:
- The user already named a specific skill (
/peec-agent,/peec-content-intel, etc.) — call that directly - The user is mid-execution of another skill — don't interrupt
Pipeline
1. Read local state
Read <project>/growth_loop/setup_state.json
<project> = $CLAUDE_PROJECT_DIR env var if set, else cwd. Walk up at most 2 parents looking for growth_loop/setup_state.json (mirrors hooks/peec-detect.py behavior).
2. Branch — no state file
If file missing, run a single parallel Peec read:
mcp__peec-ai__list_projects
mcp__peec-ai__list_brands(project_id) # only after project resolved
mcp__peec-ai__list_prompts(project_id, limit=5)
mcp__peec-ai__list_topics(project_id)
Then:
| Live Peec content | Decision |
|---|---|
| Empty (≤2 brands AND ≤4 prompts AND ≤0 topics) | Hand off to /peec-setup (mode = full, greenfield) |
| Populated (≥3 brands OR ≥5 prompts OR ≥1 topic) | Hand off to /peec-setup (mode = import, brownfield — see _shared/SETUP_STATE.md §import mode) |
| Peec MCP unreachable / no projects | STOP. Output: "No Peec MCP connection. Add it via claude mcp add peec-ai --transport streamable-http https://api.peec.ai/mcp then retry." |
3. Branch — state file present
Compute age_days = now - completed_at.
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 · 126 lines · 116 tokens per session scan A 90e74eaec4d3
peec-start is a skill published in the GitHub repository AntonioBlago/peec-ai-skills (9 stars, last pushed 4mo ago), licensed MIT. It adds 116 tokens to every session and 1,534 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…