maister:context-distiller
maister:context-distiller is a Design patterns & component architecture skill for AI agents, published by Architekt-Jutra in the architekt-jutra-code repository on GitHub. Skillspace rates maister:context-distiller D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Distill bounded contexts by finding safe generalizations across domain concepts. Uses bidirectional linguistic analysis to detect where different things behave identically (generalization candidates) and where same-named things behave differently (context split candidates). Produces a context map with generalized and specific models.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 38
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 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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