technology-radar
technology-radar is a System design & architecture decisions skill for AI agents, published by magnus919 in the hermes-profiles repository on GitHub. Skillspace rates technology-radar C (78/100) and it passed the safety scan; the rating is based on static analysis only.
CTO methodology for technology evaluation, architecture governance, build-vs-buy decisions, engineering metrics, technical debt quantification, and innovation pipeline management. Covers technology radar framework (Adopt/Trial/Assess/Hold), TCO analysis, architecture review boards, RFC processes, DORA/SPACE/DevEx metrics, debt interest calculation, and POC-to-production readiness criteria.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 59
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
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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