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 Ertinox7711/SGRR-AGI-V2 --skill gmc-passgit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/gmc-pass)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/gmc-pass"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/gmc-pass/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/ertinox7711/sgrr-agi-v2/gmc-pass"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/gmc-pass.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 | $0.00094 | $0.01632 |
| Opus 5 | $0.00047 | $0.00816 |
| Sonnet 5 | $0.00019 | $0.00326 |
| Haiku 4.5 | $0.00009 | $0.00163 |
Grade A, and why
gmc-pass 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 3d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GMC Pass — faire passer une boutique Shopify au Google Merchant Center du premier coup
Overview
Google simule TOUT le parcours d'achat (crawl multi-jours, add-to-cart, checkout, policies, urgence/preuve sociale). Le test : identité vérifiable + zéro claim faux + parité prix/dispo feed↔page↔checkout. 90 % des suspensions = Misrepresentation, account-level, sans préavis, appels limités (1-3). Donc : tout corriger AVANT de soumettre, jamais après.
Référence maître (à lire pour toute exécution) : C:\Users\YOU\Documents\BUSINESS\shopify\docs\gmc-pass-playbook.md (recette complète issue du pass SHOP-B 2026-07, 200/201 approved). Source amont : C:\Users\YOU\Documents\BUSINESS\shop-b\docs\ecom-boss-gmc\01-gmc-compliance-playbook.md (policy exhaustive + URLs officielles).
Séquence de naissance (ordre NON négociable)
- Plan Shopify payant + password OFF + domaine custom TLD (
.fr/.com— myshopify.com = inéligible) + HTTPS + email pro du domaine (contact@<domaine>) en email boutique. - Site nu et honnête : zéro fake (kill-list ci-dessous), pages légales complètes, prix simples sans compareAt inventé, 0 avis plutôt que faux avis.
- Laisser vivre le site 1-2 semaines + Search Console avant de créer le GMC (domaine neuf sans vie = profil à risque).
- Canal Shopify « Google & YouTube » → crée/branche UN Merchant Center NEUF (jamais réutiliser un compte lié à une autre boutique ou suspendu). OAuth avec l'email pro du domaine. Verify + Claim auto.
- Business info + shipping + returns dans MC = EXACTEMENT ce que dit le site (mêmes chiffres).
- Examen initial : produits « Limited » 24-72 h+ = NORMAL compte neuf. Ne RIEN changer de structurel pendant l'examen (adresse, domaine, prix massifs, catalogue).
- Shopping gratuit d'abord ; lier Google Ads seulement quand les produits sont Approved. Campagne créée EN PAUSE, budget warm-up progressif.
Kill-list Misrepresentation (chaque item = ban-tier, vérifier RENDU live)
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.
- 3d ago First seen · 66 lines · 0 tokens per session scan A bb6c7456cf9d
gmc-pass is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 4d ago), licensed MIT. It adds 94 tokens to every session and 1,632 once invoked, about $0.0005 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 2026-09-09.
Other skills, from other repositories
should-i-buy
Helps the user decide on a purchase by taking the product links they're considering, asking a couple of sharp clarifying questions about their needs and circumstances, then opening each link in real Chrome via the Claude-in-Chrome extension to extract price, specs, ratings, reviews, return policy, and shipping.…
shop-research
Researches products across Amazon, Google Shopping, and relevant specialty sites using the Claude-in-Chrome browser extension. Finds candidates matching user-specified criteria (gift, gadget, gear, home goods, etc.), captures screenshots and key data per candidate, then generates a modern 2026 HTML report with…
workflow-optimization
Read the customer request, account record, and supplied policies before choosing an action. Policy overrides the customer's requested remedy.
apparel-demand
Analyzes apparel demand prediction systems for trend forecasting, size curve optimization, color and style analytics, sell-through rate tracking, and markdown optimization following CPFR collaborative planning and GTIN product identification standards..
franchise-inventory
Analyze franchise inventory management for par level optimization, waste tracking and root cause analysis, and theoretical vs. actual usage variance.
merchandising-analytics
Analyze retail merchandising systems including planogram optimization (space-to-sales alignment, fair share index, sales per linear foot), visual merchandising effectiveness for in-store displays and e-commerce product pages, market basket analysis with association rule mining (Apriori.