effect-v4-source-authoring
effect-v4-source-authoring is a Design patterns & component architecture skill for AI agents, published by Licitei in the dados-publicos-mcp repository on GitHub. Skillspace rates effect-v4-source-authoring D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when adding or migrating a data Source into the v2 Effect-native slice (src/sources/<x>/ or src/kernel/**). The end-to-end gold-standard recipe — Schema.TaggedErrorClass taxonomy, Context.Service + Layer.effect, kernel http, bounded fan-out, classified retry, Match over switch — so the new slice passes the v2-strict static checks on the first try.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- 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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