mode-selection
mode-selection is a Workflow routing & gates skill for AI agents, published by ScotterMonk in the AgentAutoFlow repository on GitHub. Skillspace rates mode-selection D (68/100) and it passed the safety scan; the rating is based on static analysis only.
For understanding what each mode does, which mode is best (most appropriate mode) for a given situation, and establishing a pattern for choosing when and how a mode delegates or passes operation to another mode. This skill provides `mode selection strategy`. Load with read_file on .kilocode/skills/mode-selection/SKILL.md (ignore the absolute path in the location tag).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- CC0-1.0
- 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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