oracle
Consults GPT-5.2 with high reasoning for deep analysis. Triggers: "ask the oracle", "consult oracle", "get a second opinion", "ask GPT", "check with GPT", "what would GPT think", "cross-check my reasoning", "external AI". Use for complex debugging, architectural decisions, security audits, or code review requiring deep reasoning. Not for routine tasks.
$ Instalar
git clone https://github.com/richardgill/nix /tmp/nix && cp -r /tmp/nix/built/ai-agents/claude/skills/oracle ~/.claude/skills/nix// tip: Run this command in your terminal to install the skill
SKILL.md
name: oracle description: | Consults GPT-5.2 with high reasoning for deep analysis. Triggers: "ask the oracle", "consult oracle", "get a second opinion", "ask GPT", "check with GPT", "what would GPT think", "cross-check my reasoning", "external AI". Use for complex debugging, architectural decisions, security audits, or code review requiring deep reasoning. Not for routine tasks.
Oracle
Escalate to GPT-5.2 with high reasoning effort for problems requiring deeper analysis. Use for:
- Complex debugging with elusive bugs
- Architectural decisions and tradeoffs
- Security audits and vulnerability analysis
- Code review requiring deep reasoning
Main command
Run Codex with GPT-5.2 in non-interactive mode with high reasoning:
codex exec -m gpt-5.2 --sandbox read-only -c model_reasoning_effort='"high"' "$PROMPT"
Where $PROMPT is your analysis request. Codex bundles relevant context from your repo automatically.
Reasoning effort
high— deep reasoning, ~3x tokens, best for complex problems (oracle default)medium— balanced (codex default)low— fast, minimal thinking
Options
--sandbox read-only— analyze without modifying files (recommended)--sandbox workspace-write— allow file modifications if needed-o /tmp/oracle-response.md— save response to file-C <dir>— run in specific directory
Guidelines
- Oracle is read-only — analyzes but doesn't modify code
- Treat outputs as advisory — verify against codebase
- Use for genuinely complex problems (not routine tasks)
- High reasoning uses ~3x tokens but thinks deeper
Examples
# Debug intermittent auth issue
codex exec -m gpt-5.2 --sandbox read-only -c model_reasoning_effort='"high"' \
"The auth flow fails intermittently. Check src/auth/ for race conditions."
# Architectural review
codex exec -m gpt-5.2 --sandbox read-only -c model_reasoning_effort='"high"' \
"Review src/api/ data flow and suggest improvements for scalability."
# Security audit
codex exec -m gpt-5.2 --sandbox read-only -c model_reasoning_effort='"high"' \
"Audit src/handlers/ for OWASP top 10 vulnerabilities."
What to ask oracle:
$ARGUMENTS
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richardgill
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richardgill/nix/built/ai-agents/claude/skills/oracle
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