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 agentmods add skills/kxlsys/openskill/openpuanpx skills add KxlSys/OpenSkill --skill openpuagit clone --depth 1 https://github.com/KxlSys/OpenSkillWhat 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 | $0.00011 | $0.00681 |
| Opus 5 | $0.00005 | $0.00341 |
| Sonnet 5 | $0.00002 | $0.00136 |
| Haiku 4.5 | $0.00001 | $0.00068 |
Grade A, and why
openpua 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenPUA
Description
OpenPUA est une skill open source conçue pour améliorer la persévérance et la rigueur des agents IA lors des tâches complexes de débogage.
Au lieu d'accepter rapidement un échec ou une impasse, OpenPUA impose une méthodologie structurée qui pousse l'agent à :
- Vérifier systématiquement les journaux d'erreurs
- Explorer plusieurs pistes de résolution
- Consulter la documentation pertinente
- Tester différentes hypothèses
- Identifier la cause racine du problème
- Éviter les boucles de raisonnement répétitives.
Le projet applique une approche d'escalade progressive et des checklists obligatoires afin de réduire les abandons prématurés lors des investigations techniques.
Pourquoi nous le recommandons
OpenPUA démontre parfaitement la puissance du standard Agent Skills.
Cette skill ne fournit pas un simple prompt.
Elle implémente :
- Une méthodologie de débogage réutilisable
- Des règles comportementales pour les agents
- Un processus d'investigation structuré
- Une amélioration de la qualité des diagnostics.
Elle constitue un excellent exemple de ce qu'une Skill bien conçue peut apporter à un agent IA.
Fonctionnalités principales
Escalade progressive
Système de plusieurs niveaux visant à empêcher les abandons précoces et à encourager l'exploration de solutions alternatives.
Checklist obligatoire
Validation systématique de plusieurs éléments avant de conclure à un échec :
- Logs
- Dépendances
- Configuration
- Documentation
- Hypothèses alternatives
- Validation finale
Méthodologie de débogage
Approche structurée :
- Reproduire
- Isoler
- Formuler une hypothèse
- Tester
- Vérifier
Cas d'utilisation
- Débogage logiciel
- Résolution d'erreurs CI/CD
- Analyse d'échecs de déploiement
- Investigation de problèmes réseau
- Dépannage DevOps
- Analyse de bugs complexes
- Support technique avancé
Compatibilité
Compatible avec :
- Claude Code
- OpenAI Codex CLI
- Cursor
- OpenCode
- GitHub Copilot
- Agents compatibles Agent Skills
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 · 134 lines · 11 tokens per session scan A 73a93fbe7b52
openpua is a skill published in the GitHub repository KxlSys/OpenSkill (2 stars, last pushed 11d ago), licensed MIT. It adds 11 tokens to every session and 681 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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