Identify bug root causes by collecting NDJSON logs and testing hypotheses.
npx skills add https://github.com/NeuveAI/perfagent-cli --skill debug-agent-neuveai
Please help me install this Agent Skill. Skill: debug-agent Source: https://github.com/NeuveAI/perfagent-cli/tree/main/.agents/skills/debug-agent Command: npx skills add https://github.com/NeuveAI/perfagent-cli --skill debug-agent-neuveai
This skill enables systematic, evidence-based debugging by collecting runtime NDJSON logs, generating hypotheses, instrumenting code, guiding reproducible repro steps, and iterating until the root cause is proven with cited log lines.
Start the debug agent in the background, instrument code with the provided logs, reproduce the bug, and review the NDJSON outputs to identify the root cause.
High-intent search queries and answers about installing and using this skill.
Finding the root cause of a bug with runtime logs requires generating hypotheses, instrumenting code with NDJSON logs, reproducing the issue, and analyzing collected evidence to verify the exact failure point.
Evidence-based debugging uses hypothesis testing to systematically identify failures by generating 3-5 potential root causes, instrumenting code to capture targeted runtime logs, and iteratively confirming or rejecting each hypothesis with cited log evidence.
Setting up NDJSON instrumentation for web application debugging requires adding lightweight logging statements to your code, starting a background logging server, and executing reproducible steps to capture structured runtime evidence during the failure.
Structured runtime logs can debug issues across services and APIs by capturing NDJSON outputs during reproducible steps, allowing you to trace complex interactions and verify subsystem failures with cited log lines from your background server.
The best way to reproduce a bug and verify the fix is to define reproducible steps, request user confirmation, collect NDJSON runtime logs during execution, and remove instrumentation only after the root cause is proven and successfully verified.
CCI-JeremyIdentify and fix bugs through hypothesis-driven runtime instrumentation and verification.
millioncoInstrument code with NDJSON logs to debug issues via hypothesis testing.
TheBushidoCollectiveDiagnose software bugs through evidence collection and hypothesis testing.
DrLuggelsCoordinate parallel agent investigations using Analysis of Competing Hypotheses for root cause identification.
