majiayu000 Querying GPT-5.2
Queries GPT-5.2 for deep code analysis, root-cause bug fixing, and complex technical questions. Leverages GPT-5.2's 400K context window and extended reasoning capabilities to provide comprehensive analysis with P0-P3 prioritized findings.
Quick Reference
GPT-5.2 provides three specialized capabilities via standalone scripts:
| Script | Purpose | Use Case |
|---|---|---|
gpt52_query.py |
General queries | Complex coding questions, algorithm design, concept explanations |
gpt52_analyze.py |
Code analysis | Pre-merge reviews, architecture audits, security scans |
gpt52_fix.py |
Root-cause fixes | Bug debugging that addresses underlying issues (not symptoms) |
Key Features:
- 400,000 token context window (analyze large codebases)
- 128,000 token output limit (comprehensive responses)
- Configurable reasoning effort (none/low/medium/high/xhigh)
- Structured P0-P3 prioritization for findings
- Aug 2025 knowledge cutoff
Scripts
gpt52_query.py
General-purpose queries with high reasoning capabilities.
Usage:
python .claude/skills/querying-gpt52/scripts/gpt52_query.py \
--prompt "How should I implement retry logic with exponential backoff?" \
--reasoning-effort high \
--timeout 300 \
--output-format markdown
Arguments:
| Argument | Required | Default | Values | Description |
|---|---|---|---|---|
--prompt |
Yes | - | string | The question or request |
--reasoning-effort |
No | high | none/low/medium/high/xhigh | Reasoning depth |
--timeout |
No | 300 | float | Max wait time in seconds |
--output-format |
No | markdown | markdown/json | Output format |
Example:
# Ask about Python async patterns
python .claude/skills/querying-gpt52/scripts/gpt52_query.py \
--prompt "What are the best practices for handling asyncio.CancelledError?"
# Complex algorithm design
python .claude/skills/querying-gpt52/scripts/gpt52_query.py \
--prompt "Design a rate limiter using token bucket algorithm" \
--reasoning-effort xhigh
gpt52_analyze.py
Comprehensive code analysis for single files or complete projects.
Usage:
python .claude/skills/querying-gpt52/scripts/gpt52_analyze.py \
--target "app/core/" \
--focus-areas "security,performance" \
--analysis-type comprehensive \
--timeout 600 \
--output-format markdown
Arguments:
| Argument | Required | Default | Values | Description |
|---|---|---|---|---|
--target |
Yes | - | path | File or directory to analyze |
--focus-areas |
No | all | security/performance/architecture/testing/quality/all | Analysis dimensions (comma-separated) |
--analysis-type |
No | comprehensive | quick/comprehensive/deep | Analysis depth |
--timeout |
No | 600 | float | Max wait time in seconds |
--output-format |
No | markdown | markdown/json | Output format |
Example:
# Security audit of API endpoints
python .claude/skills/querying-gpt52/scripts/gpt52_analyze.py \
--target "app/api/" \
--focus-areas "security" \
--analysis-type deep
# Quick quality check before merge
python .claude/skills/querying-gpt52/scripts/gpt52_analyze.py \
--target "app/services/new_feature.py" \
--analysis-type quick
gpt52_fix.py
Root-cause bug fixing (NOT monkey patches).
Usage:
python .claude/skills/querying-gpt52/scripts/gpt52_fix.py \
--target "app/api/endpoints.py" \
--issues "TypeError: 'NoneType' object is not subscriptable on line 45 when session expires" \
--fix-scope root_cause \
--timeout 600 \
--output-format markdown
Arguments:
| Argument | Required | Default | Values | Description |
|---|---|---|---|---|
--target |
Yes | - | path | File or directory containing the issue |
--issues |
Yes | - | string | Detailed problem description (include error messages, stack traces) |
--fix-scope |
No | root_cause | root_cause/minimal/comprehensive | Fix approach |
--timeout |
No | 600 | float | Max wait time in seconds |
--output-format |
No | markdown | markdown/json | Output format |
Example:
# Fix a concurrency bug
python .claude/skills/querying-gpt52/scripts/gpt52_fix.py \
--target "app/core/session.py" \
--issues "Race condition in session cleanup: multiple cleanup tasks running simultaneously causing KeyError"
# Fix with full stack trace
python .claude/skills/querying-gpt52/scripts/gpt52_fix.py \
--target "app/services/" \
--issues "$(cat error.log)" \
--fix-scope comprehensive
When to Use
Use this skill for tasks requiring extended reasoning and deep analysis:
Code Analysis
- Pre-merge code reviews
- Architecture audits across multiple files
- Security vulnerability scanning
- Performance bottleneck identification
- Technical debt assessment
Root-Cause Debugging
- Complex bugs requiring tracing through call chains
- Race conditions and concurrency issues
- Memory leaks or performance degradation
- Architectural flaws causing repeated issues
Complex Questions
- Algorithm design and optimization
- Framework integration strategies
- Best practices for specific patterns
- Trade-off analysis for technical decisions
When NOT to Use
Avoid this skill for:
- Simple queries - Use Claude directly for straightforward questions
- Real-time streaming - GPT-5.2 doesn't support streaming responses
- Tool calling - GPT-5.2 via Responses API doesn't support function calling
- Quick fixes - For obvious typos or simple bugs, direct editing is faster
- Tasks requiring MCP tools - Use standard Claude Code capabilities
Limitations
File Size Constraints
- 500KB maximum per file
- 2MB total for all files in analysis
- Files exceeding limits are excluded automatically
Security Restrictions
- System directories blocked:
/etc,/usr,/bin,/sbin,/var,/root .envfiles automatically excluded (prevents secret exposure)- Path traversal attacks prevented
Output Constraints
- Output truncated at 100,000 characters
- JSON output available for programmatic parsing
- Markdown output optimized for human readability
See Also
- @CAPABILITIES.md - GPT-5.2 model specifications, reasoning effort levels, file limits
- @PROMPTS.md - System prompt documentation with P0-P3 dimension descriptions
- @WORKFLOWS.md - Step-by-step checklists for analysis and fixing workflows