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A structured debugging methodology for diagnosing hard bugs and performance regressions by building tight feedback loops, reproducing, hypothesizing, and fixing with regression tests.

Lift—not yet benchmarked
92
Trustsecurity · quality · license · upkeep
Scan Saferisk 0/100
LicenseMITmetadata + link-out

What it does

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

#debugging#bug-reproduction#performance-regression#hypothesis-testing#regression-testing#instrumentation

Quality judgment

completeness
9.0/10
clarity
9.0/10
trigger quality
8.0/10
examples
6.5/10
structure
9.0/10
overall
9.0/10

A rigorous, well-structured skill with clear phases, completion criteria, and strong emphasis on feedback loops before hypothesizing; it covers edge cases (non-deterministic bugs, no-repro, no-seam) and cleanup. It loses a point on examples: the HITL script and GLOSSARY/ADR references are unexplained, and concrete worked examples are absent.

Files (4)

agents/openai.yaml · 0.1 KBLICENSE · 1.0 KBscripts/hitl-loop.template.sh · 1.3 KBSKILL.md · 8.5 KB