module-fanout
module-fanout is an Agent task delegation & fan-out skill for AI agents, published by fredrikc3-sketch in the VibeConfigStarterKit repository on GitHub. Skillspace rates module-fanout D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use whenever a phase skill needs to perform repetitive per-module work across multiple D365 F&O modules (config building in Phase 1.2, deployment in Phase 2.1, validation in Phase 2.2). Defines the sub-agent dispatch pattern, the input/output contract every worker must honour, the parallelization rules (parallel within DMF `ExecutionUnit`, sequential across), the wave/batch sequencing for DMF order (010 → 650), result aggregation, and failure-handling/retry semantics. Pairs each module-level call with the appropriate worker skill (`module-config-worker`, `module-deployment-worker`, `module-validation-worker`).
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 95 / 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
- 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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