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- Add 3 new Claude skills: investigate (Iron Law debugging), security-audit (OWASP Top 10 + STRIDE), ship (gated release pipeline) - Port all 3 skills to Codex v4 format under .codex/skills/ using Deep Interaction pattern (spawn_agent + assign_task phase transitions) - Update README/README_CN acknowledgments: credit gstack (https://github.com/garrytan/gstack) as inspiration source Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
3.8 KiB
3.8 KiB
Phase 1: Root Cause Investigation
Reproduce the bug and collect all available evidence before forming any theories.
Objective
- Reproduce the bug with concrete, observable symptoms
- Collect all evidence: error messages, logs, stack traces, affected files
- Establish a baseline understanding of what goes wrong and where
- Use CLI analysis for initial diagnosis
Execution Steps
Step 1: Understand the Bug Report
Parse the user's description to extract:
- Symptom: What observable behavior is wrong?
- Expected: What should happen instead?
- Context: When/where does it occur? (specific input, environment, timing)
const bugReport = {
symptom: "extracted from user description",
expected_behavior: "what should happen",
context: "when/where it occurs",
user_provided_files: ["files mentioned by user"],
user_provided_errors: ["error messages provided"]
}
Step 2: Reproduce the Bug
Attempt to reproduce using the most direct method available:
-
Run the failing test (if one exists):
# Identify and run the specific failing test -
Run the failing command (if CLI/script):
# Execute the command that triggers the bug -
Read error-producing code path (if reproduction requires complex setup):
- Use
Grepto find the error message in source code - Use
Readto trace the code path that produces the error - Document the theoretical reproduction path
- Use
If reproduction fails: Document what was attempted. The investigation can continue with static analysis, but note this as a concern.
Step 3: Collect Evidence
Gather all available evidence using project tools:
// 1. Find error messages in source
Grep({ pattern: "error message text", path: "src/" })
// 2. Find related log output
Grep({ pattern: "relevant log pattern", path: "." })
// 3. Read stack trace files or test output
Read({ file_path: "path/to/failing-test-output" })
// 4. Identify affected files and modules
Glob({ pattern: "**/*relevant-module*" })
Step 4: Initial Diagnosis via CLI Analysis
Use ccw cli for a broader diagnostic perspective:
ccw cli -p "PURPOSE: Diagnose root cause of bug from collected evidence
TASK: Analyze error context | Trace data flow | Identify suspicious code patterns
MODE: analysis
CONTEXT: @{affected_files} | Evidence: {error_messages_and_traces}
EXPECTED: Top 3 likely root causes ranked by evidence strength
CONSTRAINTS: Read-only analysis | Focus on {affected_module}" \
--tool gemini --mode analysis
Step 5: Write Investigation Report
Generate investigation-report.json in memory (carried to next phase):
{
"phase": 1,
"bug_description": "concise description of the bug",
"reproduction": {
"reproducible": true,
"steps": [
"step 1: ...",
"step 2: ...",
"step 3: observe error"
],
"reproduction_method": "test|command|static_analysis"
},
"evidence": {
"error_messages": ["exact error text"],
"stack_traces": ["relevant stack trace"],
"affected_files": ["file1.ts", "file2.ts"],
"affected_modules": ["module-name"],
"log_output": ["relevant log lines"]
},
"initial_diagnosis": {
"cli_tool_used": "gemini",
"top_suspects": [
{ "description": "suspect 1", "evidence_strength": "strong|moderate|weak", "files": [] }
]
}
}
Output
- Data:
investigation-report(in-memory, passed to Phase 2) - Format: JSON structure as defined above
Quality Checks
- Bug symptom clearly documented
- Reproduction attempted (success or documented failure)
- At least one piece of concrete evidence collected (error message, stack trace, or failing test)
- Affected files identified
- Initial diagnosis generated
Next Phase
Proceed to Phase 2: Pattern Analysis with the investigation report.