Install
$ agentstack add skill-a5c-ai-babysitter-debugging-patterns ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- Read ALL available logs, error output, and stack traces
- DO NOT form hypotheses before reading evidence
- Identify the exact error: message, file, line, call stack
- Determine reproduction steps from evidence
- 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.
- Author: a5c-ai
- Source: a5c-ai/babysitter
- License: MIT
- Homepage: https://a5c.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.