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SKILL verified Apache-2.0 Self-run

Bug History Summarizer

skill-arabelatso-skills-4-se-bug-history-summarizer · by ArabelaTso

Summarizes the complete lifecycle of a bug across code versions, tracking its introduction, detection, fixing attempts, and regression history. Use when users need to: (1) Understand how a bug evolved over time, (2) Trace when and how a bug was introduced, (3) Analyze fix attempts and their effectiveness, (4) Identify regression patterns, (5) Generate bug lifecycle reports for documentation or po…

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Install

$ agentstack add skill-arabelatso-skills-4-se-bug-history-summarizer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Bug History Summarizer

Trace and summarize the complete lifecycle of a bug across code versions.

Workflow

Follow these steps to generate a comprehensive bug history summary:

1. Identify the Bug and Gather Context

Collect essential information:

  • Bug identifier: Issue number, commit hash, or bug description
  • Repository: Target codebase with version history
  • Version range: Specific versions/commits to analyze (or entire history)
  • Related artifacts: Issue reports, pull requests, commit messages, test results

2. Trace Bug Introduction

Identify when and how the bug was introduced:

Using git blame and bisect:

  • Run git blame on affected files to find when problematic lines were added
  • Use git bisect to pinpoint the exact commit that introduced the bug
  • Analyze the introducing commit: author, date, purpose, related changes

Analyze introduction context:

  • What was the original intent of the change?
  • Was it a new feature, refactoring, or bug fix?
  • Were there code review comments or warnings?
  • What tests existed at the time?

3. Track Detection History

Document when and how the bug was discovered:

  • Initial detection: When was the bug first reported or noticed?
  • Detection method: User report, automated test, code review, production incident?
  • Time to detection: How long between introduction and discovery?
  • Severity assessment: How was the bug initially classified?

4. Analyze Fix Attempts

Chronicle all attempts to fix the bug:

For each fix attempt:

  • Commit hash and date
  • Author and reviewer
  • Fix approach and code changes
  • Test coverage added
  • Whether the fix was successful or reverted

Identify patterns:

  • Multiple fix attempts indicate complexity
  • Reverted fixes suggest incomplete understanding
  • Test additions show learning from the bug

5. Check for Regressions

Identify if the bug reappeared after being fixed:

  • Search for related bug reports after the fix
  • Check if the fix was reverted or modified
  • Look for similar bugs in related code
  • Analyze if the bug reoccurred in different contexts

6. Generate Summary Report

Create a structured timeline and analysis:

Timeline format:

## Bug History: [Bug Title/ID]

### Introduction
- **When**: [Date/Commit]
- **Where**: [File:Line]
- **How**: [Description of introducing change]
- **Context**: [Why the change was made]

### Detection
- **Discovered**: [Date]
- **Method**: [How it was found]
- **Time to Detection**: [Duration]
- **Initial Impact**: [Severity/Scope]

### Fix Attempts
1. **Attempt 1** ([Date/Commit])
   - Approach: [Description]
   - Outcome: [Success/Failure/Partial]
   - Tests Added: [Yes/No]

2. **Attempt 2** ([Date/Commit])
   - ...

### Regressions
- **Regression 1** ([Date])
  - Cause: [Why it reappeared]
  - Fix: [How it was resolved]

### Current Status
- [Fixed/Open/Recurring]
- Last modified: [Date]

### Lessons Learned
- [Key insights from the bug's history]

Example

Input:

  • Repository: myapp
  • Bug: "Null pointer exception in user login"
  • Issue: #456

Analysis Process:

  1. Git blame shows the problematic code was added in commit abc123 on 2024-01-15
  2. Commit analysis reveals it was part of a refactoring to improve performance
  3. Issue tracker shows bug reported on 2024-02-20 (36 days after introduction)
  4. Fix attempts:
  • First fix (commit def456, 2024-02-21): Added null check, but incomplete
  • Second fix (commit ghi789, 2024-02-25): Comprehensive fix with tests
  1. Regression check: No regressions found

Generated Summary:

## Bug History: Null Pointer Exception in User Login (#456)

### Introduction
- **When**: 2024-01-15 (commit abc123)
- **Where**: src/auth/LoginHandler.java:45
- **How**: Refactoring removed null check during performance optimization
- **Context**: Part of PR #234 to reduce login latency

### Detection
- **Discovered**: 2024-02-20
- **Method**: Production incident report
- **Time to Detection**: 36 days
- **Initial Impact**: High severity - blocking user logins

### Fix Attempts
1. **Attempt 1** (2024-02-21, commit def456)
   - Approach: Added null check for user object
   - Outcome: Partial - fixed main case but missed edge case
   - Tests Added: Yes (1 unit test)

2. **Attempt 2** (2024-02-25, commit ghi789)
   - Approach: Comprehensive null handling with validation
   - Outcome: Success
   - Tests Added: Yes (3 unit tests + 1 integration test)

### Regressions
- None detected

### Current Status
- Fixed (as of 2024-02-25)
- Last modified: commit ghi789

### Lessons Learned
- Performance optimizations should maintain defensive checks
- Initial fix was too narrow - comprehensive testing revealed edge cases
- Added regression tests to prevent reintroduction

Output Format

Provide:

  1. Structured timeline in Markdown format
  2. Key metrics:
  • Time to detection
  • Number of fix attempts
  • Time to resolution
  • Regression count
  1. Visual timeline (optional, using ASCII or Mermaid):

`` 2024-01-15: Bug introduced (commit abc123) | | (36 days) | 2024-02-20: Bug detected (issue #456) | | (1 day) | 2024-02-21: Fix attempt 1 (partial) | | (4 days) | 2024-02-25: Fix attempt 2 (success) ``

  1. Lessons learned and recommendations

Git Commands Reference

Useful commands for bug history analysis:

# Find when a line was introduced
git blame 

# Find the commit that introduced a bug
git bisect start
git bisect bad 
git bisect good 

# Search commit messages for bug references
git log --grep="" --oneline

# Show commits that modified a specific file
git log --follow -- 

# Show commits in a date range
git log --since="2024-01-01" --until="2024-12-31"

# Find commits by author
git log --author=""

# Show detailed commit information
git show 

Tips for Effective Bug History Analysis

  1. Start with the fix - Work backwards from the fix commit to understand the bug
  2. Check related files - Bugs often span multiple files
  3. Read commit messages - They provide context about intent
  4. Review pull requests - Comments reveal decision-making
  5. Check test history - Tests added after bugs show learning
  6. Look for patterns - Similar bugs may have related causes
  7. Consider context - Deadlines, team changes, and technical debt affect bug introduction

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.