What problem does it solve? Monitoring and healthcheck scripts often report numbers that feel wrong: inflated error counts, permanently red lights, or silently skipped checks. This Skill provides a systematic method to find and fix the parser bugs, counting pitfalls, and config-loader defects behind false RED and false GREEN signals before any results are reported. ## Core Features & Use Cases - Parser Bug Diagnosis: Fix lenient JSONC parsers that corrupt valid data, including string-aware block comment stripping, standard-parser-first fallback ordering, and broken trailing-comma regex character classes. - Counting Pitfall Correction: Distinguish per-line vs per-event counting, total vs unique signatures, and all-history vs rolling-window scans so thresholds compare the right quantities. - Silent Failure Detection: Catch YAML key drift, fallback config loaders that return wrong types, and fnmatch excludes anchored at the path start that leave monitors not actually monitoring. - Cross-Validation Probes: Verify any reported number with an independent shell pipeline; if script and cross-check differ by more than 10%, patch the script before reporting. - Use Case: An audit script reports 291 errors against a threshold of 5. Using this Skill, you discover the count includes every traceback frame line and weeks of history, fix it to count unique signatures in a 7-day window, and confirm the true value is 23 with an independent grep pipeline. ## Quick Start Ask the agent to debug why my healthcheck script reports 291 errors when the logs only show a handful of real failures, and cross-validate the count with an independent shell pipeline.