Notre avis
La compétence oracle permet d'obtenir des conseils techniques stratégiques en invoquant un modèle de raisonnement GPT-5.2 dans un environnement en lecture seule, avec prise en charge de l'exécution en arrière-plan pour les analyses approfondies.
Points forts
- Raisonnement de niveau expert pour les décisions complexes
- Exécution en arrière-plan sans bloquer le flux de travail
- Environnement sandbox en lecture seule garantissant la sécurité
- Format de réponse structuré avec plan d'action et estimations
Limites
- Nécessite une connexion API active à GPT-5.2
- Les réponses longues peuvent encombrer le contexte si elles ne sont pas tronquées
- Non adapté aux questions simples ou factuelles
Utilisez cette compétence pour les décisions d'architecture, le débogage multi-systèmes, l'analyse de sécurité, ou lorsque vous avez besoin d'un second avis expert.
Ne l'utilisez pas pour des recherches simples ou des tâches qui nécessitent de modifier directement le code.
Analyse de sécurité
SûrThe skill provides a read-only sandboxed oracle for strategic advice. It instructs running a local script with question strings, but explicitly restricts destructive commands and file modifications. There is no indication of exfiltration or unsafe practices.
Aucun point d'attention détecté
Exemples
Given our PostgreSQL + Redis stack, should we add Elasticsearch for full-text search or use pg_trgm? We have 10M records, 100 QPS expected.Review this authentication flow for security issues: [paste code]This codebase uses a custom event system. Should we migrate to a standard library or continue extending it?name: oracle description: Ask the oracle (GPT-5.2 with deep reasoning) strategic technical questions. Use for architecture decisions, complex debugging, security analysis, or when you need a second expert opinion. Supports background execution for long-running queries. allowed-tools: Bash, TaskOutput, KillShell
Oracle - Strategic Technical Advisor
The oracle is a GPT-5.2 reasoning model configured for deep technical analysis. Use it when you need expert-level guidance on complex decisions.
Capabilities & Restrictions
Can do:
- Read files and explore the codebase
- Run shell commands for investigation
- Search the web for current information
- Provide strategic technical advice
Cannot do (by design):
- Edit or write files (read-only sandbox)
- Make changes to the codebase
- Execute destructive commands
This makes oracle safe to consult without risk of unintended modifications.
When to Use Oracle
- Architecture decisions: System design, technology choices, scaling strategies
- Complex debugging: Multi-system issues, race conditions, performance bottlenecks
- Security analysis: Threat modeling, vulnerability assessment, auth patterns
- Trade-off analysis: When multiple valid approaches exist and you need to weigh them
- Code review: Getting a second opinion on significant implementations
- Post-implementation review: Validating decisions after the fact
How to Invoke
Script location: ${CLAUDE_PLUGIN_ROOT}/skills/oracle/scripts/oracle.sh
Foreground (quick questions, <30 seconds expected)
Use Bash tool directly:
${CLAUDE_PLUGIN_ROOT}/skills/oracle/scripts/oracle.sh "What's the best way to implement rate limiting for this API?"
Background (complex questions, longer reasoning)
For questions that require deep reasoning, run in background and poll:
-
Start the query with
run_in_background=true:${CLAUDE_PLUGIN_ROOT}/skills/oracle/scripts/oracle.sh "Analyze the security implications of this authentication flow and suggest improvements" -
Continue working on other tasks while oracle thinks
-
Poll for status using TaskOutput with
block=false:- Check periodically if the oracle has finished
- When status shows completed, retrieve the result
-
Get result - for long responses, use tail to avoid context flooding:
# Get last 100 lines of output tail -100 /path/to/output
Response Format
Oracle responses follow a tiered structure:
Essential (Always Present)
- Bottom Line: 1-2 sentence direct answer
- Action Plan: Numbered concrete next steps
- Effort Estimate: Quick (<1h) | Short (1-4h) | Medium (1-2d) | Large (3d+)
Expanded (When Relevant)
- Reasoning: Why this approach over alternatives
- Trade-offs: What you gain vs sacrifice
- Dependencies: Prerequisites and external factors
Edge Cases (When Applicable)
- Escalation Triggers: When to reconsider
- Alternatives: Backup options
- Gotchas: Common mistakes to avoid
Example Questions
Good oracle questions are:
- Specific and contextualized
- About decisions rather than implementations
- Complex enough to benefit from deep reasoning
Examples:
- "Given our PostgreSQL + Redis stack, should we add Elasticsearch for full-text search or use pg_trgm? We have 10M records, 100 QPS expected."
- "This codebase uses a custom event system. Should we migrate to a standard library or continue extending it?"
- "Review this authentication flow for security issues: [paste code]"
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