manual-test
manual-test is an Integration & environment testing skill for AI agents, published by kaeawc in the auto-mobile repository on GitHub. Skillspace rates manual-test D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Run one AutoMobile manual-test iteration: from a start point (commit, milestone/tag, or date), rebuild ALL components, restart the daemon with the right flags, and verify that closed issues and merged PRs actually fix their bugs / deliver their specced features on current HEAD by exercising tool calls on an Android emulator and iOS simulator. Use when asked to retest landed work, verify a release, or manually test what changed.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 36
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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