cherry
cherry is a Browser & computer-use automation skill for AI agents, published by ai-ecoverse in the slicc repository on GitHub. Skillspace rates cherry D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use this when a cherry target is connected — a third-party host web page that has embedded a SLICC follower via the @ai-ecoverse/cherry SDK and lent itself to you (a cloud-cone leader) as a driveable, capability-limited browser target. Covers what you can and cannot do with a cherry target (navigate / screenshot / open URL, NEVER raw network), the `cherry-emit` command for pushing host-page events, and the `[cherry]` licks you receive when the host page reports an event.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- Apache-2.0
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.