tech-debt-radar

tech-debt-radar is a Codebase audits & code health skill for AI agents, published by neomjs in the neo repository on GitHub. Skillspace rates tech-debt-radar C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Proactive architectural review skill using Frontier Model semantic RAG to sweep historical issues and Memory Core sessions for technical debt. Triggers: Use this skill when conducting architectural analysis, proactively searching for technical debt, auditing the repository for abandoned logical loops, when explicitly requested to scan for ambient architectural debt, or during PR review for fundamental architectural shifts.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
3,234

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

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Sweeps this repo's own history, Memory Core, and guide

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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