autoresearch:scenario
autoresearch:scenario is a Structured reasoning & decision frameworks skill for AI agents, published by wjgoarxiv in the autoresearch-skill repository on GitHub. Skillspace rates autoresearch:scenario D (64/100) and it passed the safety scan; the rating is based on static analysis only.
12-dimension scenario exploration across user-specified domain modes. TRIGGER when: user wants to explore scenarios, edge cases, or what-if analysis; user asks "what could go wrong"; user wants failure mode analysis; user asks about best/worst case outcomes; user wants to stress-test a plan, design, or system; user mentions "scenario analysis" or "scenario planning"; user invokes /autoresearch:scenario. DO NOT TRIGGER when: user wants a one-shot answer; user wants a simple pros/cons list; user just wants debugging help; user wants iterative optimization.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 24
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
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.