build_scenario
build_scenario is an End-to-end & browser testing skill for AI agents, published by Simon-Initiative in the oli-torus repository on GitHub. Skillspace rates build_scenario D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Author and maintain Oli.Scenarios YAML-driven integration tests for Torus, including new `.scenario.yaml` files and companion ExUnit runners. Use when features or bugs need non-UI integration coverage through real authoring/delivery/student workflows (projects, content edits, publishing, sections, enrollments, learner attempts, assertions), especially when other `spec_*` skills need scenario-based test implementation. Do not use for UI/browser automation or for tests that depend on fixtures/factories/mocks for domain setup.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 120
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
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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