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 challengegit 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/challenge)<a href="https://agentmods.dev/skills/atournayre/claude-marketplace/challenge"><img src="https://agentmods.dev/badge/skills/atournayre/claude-marketplace/challenge/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/challenge"><img src="https://agentmods.dev/badge/skills/atournayre/claude-marketplace/challenge.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 | $0.00022 | $0.00854 |
| Opus 5.5 | $0.00009 | $0.00342 |
| Sonnet 5.5 | $0.00004 | $0.00171 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
claude:challenge 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 2mo 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Challenge - Auto-évaluation des réponses Claude
Instructions à Exécuter
IMPORTANT : Exécute ce workflow étape par étape :
Analyse critique de ma dernière réponse fournie et proposition d'une version améliorée.
Purpose
Permettre à Claude d'évaluer objectivement la qualité de sa dernière réponse et d'identifier les axes d'amélioration concrets.
Variables
- LAST_RESPONSE: Ma dernière réponse dans la conversation
- ORIGINAL_QUESTION: La question ou demande initiale de l'utilisateur
- EVALUATION_CRITERIA: Critères d'évaluation (clarté, pertinence, complétude, précision, format)
Relevant Files
- Historique de conversation (contexte automatique)
Workflow
1. Identification du contexte
- Identifie la dernière question/demande de l'utilisateur
- Récupère ma dernière réponse complète
- Note les objectifs explicites et implicites de la demande
2. Évaluation structurée
Évalue ma réponse selon ces critères (note /10 pour chaque) :
Pertinence (/10)
- La réponse répond-elle directement à la question ?
- Y a-t-il des éléments hors sujet ou manquants ?
Clarté (/10)
- Le message est-il facile à comprendre ?
- Le format est-il adapté (listes vs paragraphes) ?
- Les termes techniques sont-ils expliqués si nécessaire ?
Complétude (/10)
- Tous les aspects de la demande sont-ils couverts ?
- Y a-t-il des informations importantes omises ?
Précision (/10)
- Les informations sont-elles exactes ?
- Y a-t-il des approximations ou suppositions ?
Format et style (/10)
- Le ton est-il approprié (casual, pas trop formel) ?
- Le format respecte-t-il les préférences (listes à puces) ?
- Y a-t-il des phrases trop enthousiastes à éviter ?
3. Calcul de la note globale
- Note finale = moyenne des 5 critères
- Identification du critère le plus faible
- Identification des points forts
4. Proposition d'amélioration
- Liste concrète de ce qui pourrait être amélioré
- Proposition d'une version améliorée si la note < 8/10
- Focus sur les critères les plus faibles
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.
- 2mo ago First seen · 113 lines · 22 tokens per session scan A 10304a7a731b
claude:challenge is a skill published in the GitHub repository atournayre/claude-marketplace (9 stars, last pushed 8mo ago), licensed MIT. It adds 22 tokens to every session and 854 once invoked, about $0.0001 per session on Opus 5.5. 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.
claude:challenge compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| claude:challengeatournayre/claude-marketplace | Skill | 9 | 8mo ago | MIT | A | 22 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 3d ago | MIT | A | 200 | Claude Code, Codex |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |