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.
git 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/commands/ertinox7711/sgrr-agi-v2/shop)<a href="https://agentmods.dev/commands/ertinox7711/sgrr-agi-v2/shop"><img src="https://agentmods.dev/badge/commands/ertinox7711/sgrr-agi-v2/shop/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/commands/ertinox7711/sgrr-agi-v2/shop"><img src="https://agentmods.dev/badge/commands/ertinox7711/sgrr-agi-v2/shop.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 | $0.00034 | $0.00475 |
| Opus 5 | $0.00017 | $0.00237 |
| Sonnet 5 | $0.00007 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
shop 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 2d 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.
What it actually says
the operator a plusieurs boutiques Shopify, une boutique = un dossier. La seule
source de verite est C:\Users\YOU\.claude\shops-registry.md (miroir .json
lu par les hooks). Confondre deux boutiques est la faute la plus couteuse ici.
Dossier a identifier : $ARGUMENTS (vide = dossier courant)
Marche a suivre
- Lis
C:\Users\YOU\.claude\shops-registry.md. - Prends le chemin cible, mappe-le sur la registry par prefixe le plus long. L'identite se derive du DOSSIER, jamais de ce dont tu te souviens.
- Annonce en une ligne, avant toute autre chose :
Boutique = <NOM> (<niche>), dossier <root>, handle <handle>Tous ces champs sont copies de la registry, jamais tapes de memoire. - Verifie l'etat du jeton si une action API est prevue : un jeton
shpat_/session vaut pour un seul store, jamais partage.
Ce que cette commande ne fait pas
- Elle n'ecrit rien. Aucun
Edit,Write,productUpdate,themePublish,themeFilesUpsert,metafieldsSet,get-token. - Toute mutation demande ensuite une double confirmation explicite : « t'es sur que c'est ? » + l'effet exact re-cite + un GO de the operator. Pas de GO = pas de mutation.
- SHOP-A (
Documents\BUSINESS\shopify) est en LECTURE SEULE, point.OFM HUBetOFM HUB V2sont des zones protegees au meme titre.
Si le dossier cible n'est dans aucune ligne de la registry : dis-le et arrete-toi. Ne devine pas la boutique.
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.
- 2d ago First seen · 36 lines · 34 tokens per session scan A 91ee717a05e6
shop is a command published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 3d ago), licensed MIT. It adds 34 tokens to every session and 475 once invoked, about $0.0002 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.
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