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YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.
Systematic investigation to find root cause and design a complete fix — or proactive audit to find hidden bugs before they bite.
Requires:
session-start.sh has executed (creates .agents/ directories for output)
bd CLI (beads) for issue tracking if creating follow-up issues
Modes
Mode
Invocation
When
Investigation
$bug-hunt <symptom>
You have a known bug or failure
Audit
$bug-hunt --audit <scope>
Proactive sweep for hidden bugs
Investigation mode uses the 4-phase structure below. Audit mode uses systematic read-and-classify — see Audit Mode.
The 4-Phase Structure (Investigation Mode)
Phase
Focus
Output
1. Root Cause
Find the actual bug location
file:line, commit
2. Pattern
Compare against working examples
Differences identified
3. Hypothesis
Form and test single hypothesis
Pass/fail for each
4. Implementation
Fix at root, not symptoms
Verified fix
For failure category taxonomy and the 3-failure rule, read references/failure-categories.md.
For audits or pre-release sweeps that need more than one pass, route through references/audit-fix-rescan-cycle.md (multi-pass methodology) and use references/convergence-criteria.md to decide when to stop.
When the target process is live, hung, or only reproducible under debugger observation, load references/debugger-attach-triage.md before attaching or changing ptrace/sysctl settings.
Execution Steps
Given $bug-hunt <symptom>:
Phase 1: Root Cause Investigation
Step 1.1: Confirm the Bug
First, reproduce the issue:
What's the expected behavior?
What's the actual behavior?
Can you reproduce it consistently?
Read error messages carefully. Do not skip or skim them.
If the bug can't be reproduced, gather more information before proceeding.
Step 1.2: Locate the Symptom
Find where the bug manifests:
# Search for error messages
grep -r "<error-text>" . --include="*.py" --include="*.ts" --include="*.go" 2>/dev/null | head -10
# Search for function/variable names
grep -r "<relevant-name>" . --include="*.py" --include="*.ts" --include="*.go" 2>/dev/null | head -10
Step 1.3: Git Archaeology
Find when/how the bug was introduced:
# When was the file last changed?
git log --oneline -10 -- <file>
# What changed recently?
git diff HEAD~10 -- <file>
# Who changed it and why?
git blame <file> | grep -A2 -B2 "<suspicious-line>"# Search for related commits
git log --oneline --grep="<keyword>" | head -10
Step 1.4: Trace the Execution Path
Find the entry point where the bug manifests
Trace backward to find where bad data/state originates
Identify all functions in the path and recent changes to them
Return: execution path, likely root cause location, responsible changes
Step 1.5: Identify Root Cause
Based on tracing, identify:
What is wrong (the actual bug)
Where it is (file:line)
When it was introduced (commit)
Why it happens (the logic error)
Phase 2: Pattern Analysis
Step 2.1: Find Working Examples
Search the codebase for similar functionality that WORKS:
# Find similar patterns
grep -r "<working-pattern>" . --include="*.py" --include="*.ts" --include="*.go" 2>/dev/null | head -10
Step 2.2: Compare Against Reference
Identify ALL differences between:
The broken code
The working reference
Document each difference.
Phase 3: Hypothesis and Testing
Step 3.1: Form Single Hypothesis
State your hypothesis clearly:
"I think X is wrong because Y"
One hypothesis at a time. Do not combine multiple guesses.
Step 3.2: Test with Smallest Change
Make the SMALLEST possible change to test the hypothesis:
If it works → proceed to Phase 4
If it fails → record failure, form NEW hypothesis
Step 3.3: Check Failure Counter
Check failure count per references/failure-categories.md. After 3 countable failures, escalate to architecture review.
Phase 4: Implementation
Step 4.1: Design the Fix
Before writing code, design the fix:
What needs to change?
What are the edge cases?
Will this fix break anything else?
Are there tests to update?
Step 4.2: Create Failing Test (if possible)
Write a test that demonstrates the bug BEFORE fixing it.
Step 4.3: Implement Single Fix
Fix at the ROOT CAUSE, not at symptoms.
Step 4.4: Verify Fix
Run the failing test - it should now pass.
If the bug is in a high-complexity function, consider $refactor after fix to prevent recurrence.
Audit Mode
When invoked with --audit, bug-hunt switches to a proactive sweep. No symptom needed — you're hunting for bugs that haven't been reported yet.
$bug-hunt --audit cli/internal/goals/ # audit a package$bug-hunt --audit src/auth/ # audit a directory$bug-hunt --audit . # audit recent changes in repo
Key discipline: Read line by line. Do not skim. The proven methodology (5 bugs found, 0 hypothesis failures) came from careful reading, not heuristic scanning.
Bug-Finding Pyramid Modes (BF1–BF5)
When running --audit, check for missing bug-finding test coverage:
BF4 — Chaos/Negative Testing (highest bug-finding power):
For every file that makes external calls (APIs, databases, filesystems), verify:
Timeout injection test exists
Connection failure test exists
Permission denied test exists
Corrupt input test exists
If any boundary lacks failure injection → flag as finding (severity: significant).
BF5 — Script Functional Testing:
For every .sh script that calls external tools (oc, kubectl, helm):
Stub-based functional test exists
JSON output schema validated
Both healthy and unhealthy stub paths tested
If scripts lack functional tests → flag as finding (severity: moderate).
BF1 — Property-Based Testing:
For every data transformation (parse/render/serialize):
Property test with randomized inputs exists
Reference: The standards skill contains full BF level definitions and per-language tooling.
Audit Step 3: Classify Findings
For each finding, assign severity:
Severity
Criteria
Examples
HIGH
Data loss, security, resource leak, process orphaning
Zombie processes, SQL injection, file handle leak
MEDIUM
Wrong output, incorrect defaults, silent data corruption