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 atournayre/claude-marketplace --skill auto-designgit clone --depth 1 https://github.com/atournayre/claude-marketplaceWrote 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/atournayre/claude-marketplace/auto-design)<a href="https://agentmods.dev/skills/atournayre/claude-marketplace/auto-design"><img src="https://agentmods.dev/badge/skills/atournayre/claude-marketplace/auto-design/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/atournayre/claude-marketplace/auto-design"><img src="https://agentmods.dev/badge/skills/atournayre/claude-marketplace/auto-design.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 | $0.00014 | $0.00942 |
| Opus 5 | $0.00007 | $0.00471 |
| Sonnet 5 | $0.00003 | $0.00188 |
| Haiku 4.5 | $0.00001 | $0.00094 |
Grade A, and why
dev:auto:design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configuration de sortie
Instructions à Exécuter
IMPORTANT : Exécute ce workflow étape par étape :
IMPORTANT : Cette commande génère une architecture choisie automatiquement et nécessite un format de sortie structuré.
Lis le frontmatter de cette commande. Si un champ output-style est présent, exécute immédiatement :
/output-style <valeur-du-champ>
Note : Une fois que le champ output-style sera supporté nativement par Claude Code, cette instruction pourra être supprimée.
Objectif
Phase 4 du workflow automatisé : proposer les architectures ET choisir automatiquement (Pragmatic Balance).
Zéro demande de choix à l'utilisateur.
Instructions
1. Lire le contexte
Déterminer le chemin du workflow state :
# Récupérer issue_number depuis le contexte
workflow_state_file=".claude/data/workflows/issue-${issue_number}-dev-workflow-state.json"
- Lire le workflow state pour la feature, findings et décisions
- Si phases précédentes non complétées, exit avec erreur
2. Évaluer et choisir l'architecture la meilleure
Lancer 1 agent code-architect pour évaluer les approches et recommander la meilleure :
Évalue les 3 approches architecturales possibles pour "{feature}" :
**Approche 1 : Minimal Changes**
- Petit changement, réutilisation max, minimum de nouveaux fichiers
**Approche 2 : Clean Architecture**
- Abstractions élégantes, séparation des responsabilités, testabilité optimale
**Approche 3 : Pragmatic Balance**
- Balance rapidité/qualité, bonnes pratiques sans over-engineering
Contexte du codebase :
{keyFiles et patterns de la phase 2}
Décisions prises (Elegant Objects, edge cases, etc.) :
{décisions de la phase 3}
RECOMMANDE la meilleure approche pour CE projet basée sur :
1. Les patterns existants du codebase
2. Les principes Elegant Objects applicables
3. L'absence d'over-engineering
4. La complexité justifiée vs bénéfices
Retourne :
- Approche recommandée + raison précise
- Composants à créer/modifier
- Fichiers impactés
- Diagramme de flux (ASCII)
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 · 139 lines · 14 tokens per session scan A 49903ee26f2c
dev:auto:design is a skill published in the GitHub repository atournayre/claude-marketplace (9 stars, last pushed 6mo ago), licensed MIT. It adds 14 tokens to every session and 942 once invoked, about $0.0001 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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