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SKILL verified MIT Self-run

Debugging Patterns

skill-a5c-ai-babysitter-debugging-patterns · by a5c-ai

Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.

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Install

$ agentstack add skill-a5c-ai-babysitter-debugging-patterns

✓ 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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1mo ago

Declared compatibility

Claude CodeClaude Desktop

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

Preview Execution monitoring

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About

Debugging Patterns

Overview

Provides structured frameworks for root cause analysis. The log-first methodology ensures evidence is gathered before hypotheses are formed.

Log-First Investigation

  1. Read ALL available logs, error output, and stack traces
  2. DO NOT form hypotheses before reading evidence
  3. Identify the exact error: message, file, line, call stack
  4. Determine reproduction steps from evidence
  5. Check git log for recent changes correlating with bug introduction

Pattern-Based Diagnosis

  • Check patterns.md for known gotchas matching the error
  • Cross-reference with common patterns: null pointer, race condition, resource leak, config error
  • Rate root cause confidence (>=80% to proceed with fix)

Evidence Collection

  • Stack traces with full call chain
  • Error messages with context
  • Exit codes from reproduction attempts
  • Git blame/log for change correlation
  • Environment differences (if applicable)

When to Use

  • During DEBUG workflow investigation phase
  • When BUILD tests fail unexpectedly
  • When reviewing error handling gaps

Agents Used

  • bug-investigator (primary consumer)
  • silent-failure-hunter (pattern reference)

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.