Root-cause investigation

The top-rated launch-quality Root-cause investigation skill for AI agents is tool-systematic-debugging (grade B), followed by feature-verification and safe-debug. Skillspace rates 559 Root-cause investigation skills; 82 are launch-quality.

Tool-agnostic debugging discipline that finds the underlying cause before any fix is attempted — reproduce, form and test hypotheses against evidence, five-whys, and post-incident analysis.

Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.

  1. tool-systematic-debugging B
  2. feature-verification B
  3. safe-debug B
  4. investigation B
  5. agentic-systematic-debugging B
  6. anchor-repro B
  7. debugging-methodology B
  8. hunter B
  9. diagnose B
  10. spectra-debug C
  11. debugging C
  12. minimizing-ty-ecosystem-changes C
  13. postmortem C
  14. debugging-wizard C
  15. repo-health-investigate C
  16. systematic-debugging C
  17. zzz-od-dev-deciding-a-fix C
  18. debug-like-expert C
  19. debug-plan C
  20. systemic-issue-triage C
  21. issue-root-resolution C
  22. 5-Whys Root Cause Analysis C
  23. diagnose-backend-bug C
  24. hypothesis-testing C
  25. root-cause-analysis C

Frequently asked questions

What is the best Root-cause investigation skill for AI agents?

The top-rated launch-quality Root-cause investigation skill for AI agents is tool-systematic-debugging (grade B), followed by feature-verification and safe-debug. Skillspace rates 559 Root-cause investigation skills; 82 are launch-quality.

How does Skillspace rate Root-cause investigation skills?

Skillspace grades every Root-cause investigation skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.

Are Root-cause investigation skills safe to install?

Of the 559 Root-cause investigation skills Skillspace rates, 528 passed its safety scan with no flag from its model, and 31 are flagged: 15 for review, 11 as risky, 4 as unsafe and 1 as an attack benchmark. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.

Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.