systematic-debugging

systematic-debugging is a Root-cause investigation skill for AI agents, published by hex0xdeadbeef in the claude-kit repository on GitHub. Skillspace rates systematic-debugging D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Systematic 4-phase debugging process with Iron Law: Root Cause Investigation → Pattern Analysis → Hypothesis & Testing → Implementation. Use when encountering any bug, test failure, unexpected behavior, or build failure — BEFORE proposing fixes. Auto-trigger: load when /coder VERIFY fails 3x consecutively. Keywords: bug, test failing, stuck, not working, can't fix, root cause, 3x fail, test loop, flaky test, unexpected behavior, debugging, investigate. Do NOT use for pre-implementation planning (that is /planner territory).

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
45

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubhex0xdeadbeef/claude-kit

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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