scienceworld-object-selector
scienceworld-object-selector is an Execution & autonomous loops skill for AI agents, published by zjunlp in the SkillNet repository on GitHub. Skillspace rates scienceworld-object-selector C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the agent needs to choose a specific object from multiple candidates in the environment based on task criteria such as object type (non-living thing, electrical component, container), properties, or category. This skill surveys visible objects with "look around", evaluates each against the task requirements, selects the most suitable candidate, and signals intent with "focus on [OBJECT]".
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 1,100
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Agent tactics for the public ScienceWorld benchmark environment
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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