d365-validation-testing
d365-validation-testing is an Integration & environment testing skill for AI agents, published by fredrikc3-sketch in the VibeConfigStarterKit repository on GitHub. Skillspace rates d365-validation-testing D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use after deployment to validate the F&O environment by executing every end-to-end business-process test scenario from `Documentation/test-scenarios.json` start-to-finish (Source-to-Pay, Order-to-Cash, Record-to-Report, etc.). Drives the fix-loop — when a test fails, fix the SOURCE configuration file, re-deploy via the `d365-deployment` skill, then re-test. This is Phase 2 Step 2.2 of the implementation lifecycle. Pair with `fo-mcp-server` and `reinforcement-learning`.
- 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
- 94 / 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
- Category is a classifier prediction; no model has read this skill 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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