failure-oriented-instrumentation

Selectively instruments code to capture runtime data for debugging failures and bugs. Use when investigating crashes, exceptions, unexpected behavior, test failures, or performance issues. Analyzes stack traces and error messages to identify suspicious code regions, then adds targeted logging, tracing, and assertions to capture variable values, execution paths, timing, and conditional branches. Supports Python, JavaScript/TypeScript, Java, and C/C++.

1.10x

Quality

92%

Does it follow best practices?

Impact

66%

1.10x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

76%

13%

Debug Incorrect Order Total Calculation

Python failure instrumentation patterns

Criteria

Without context

With context

logging module used

100%

getLogger(__name__)

25%

DEBUG level for tracing

87%

100%

ERROR with exc_info

Variable names in messages

100%

Entry/exit markers

25%

100%

Branch decisions logged

100%

Decorator or context manager

Minimal-first approach

50%

100%

No password/token logging

100%

No side effects

100%

Loop iterations tracked

100%

64%

Diagnose Intermittent Timeout in Data Sync Service

JavaScript async and proxy instrumentation

Criteria

Without context

With context

console.log with timestamps

100%

performance.now() for timing

debug module used

Async ENTER/EXIT markers

62%

75%

Proxy-based instrumentation

Async error logging

37%

External dependency timing

100%

State variables captured

100%

No API key or token logging

100%

Minimal scope

100%

87%

Variable names in messages

100%

No behavior change

83%

100%

60%

Diagnose Segmentation Fault in Image Processing Pipeline

C/C++ macro and RAII instrumentation

Criteria

Without context

With context

fprintf to stderr

100%

DEBUG macro guard

10%

LOG_DEBUG macro defined

87%

100%

LOG_ENTER/LOG_EXIT macros

25%

100%

RAII instrumentation class

70%

std::chrono timing

22%

Variable values at crash site

100%

Assertions added

87%

62%

GDB script produced

33%

Minimal scope

100%

No behavior change

50%

37%

instrumentation_plan.md produced

100%

Repository: ArabelaTso/Skills-4-SE
Commit: 0f00a4f

Evaluated: 29 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Debug Incorrect Order Total Calculation Diagnose Intermittent Timeout in Data Sync Service Diagnose Segmentation Fault in Image Processing Pipeline

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