resolve-ambiguity
resolve-ambiguity is a Discovery & requirements clarification skill for AI agents, published by ScotterMonk in the AgentAutoFlow repository on GitHub. Skillspace rates resolve-ambiguity D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Systematic ambiguity resolution through information gathering. Use when facing unclear requirements, unknown context, uncertain implementation choices, or any situation where guessing would be risky. Also use when another skill or rule directs you here via an ambiguity gate. Trigger this skill even for partial ambiguity — if you're weighing two approaches, unsure which files are in scope, or filling in gaps with "probably" or "I assume", that's ambiguity. Don't skip this skill just because you *could* guess; the cost of guessing wrong is wasted work. Load with read_file on .kilocode/skills/resolve-ambiguity/SKILL.md (ignore the absolute path in the location tag).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- 84 / 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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