systematic-debug

systematic-debug is a Root-cause investigation skill for AI agents, published by asynkron in the asynkron-skills repository on GitHub. Skillspace rates systematic-debug D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Systematic debugging techniques for unclear root causes. Use when a bug's origin is unknown, multiple hypotheses need testing, you need to narrow down a failing area, end-to-end tests fail but you can't tell where, or the user says "I don't know why this is broken". Includes test bombs (hypothesis elimination) and layered tests (pipeline stage isolation).

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
32

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.

Our review

Architecture
93 / 100
Maturity
Basic: a single SKILL.md
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

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