vvm
vvm is an Agent frameworks & building agents skill for AI agents, published by karanchawla in the vvm repository on GitHub. Skillspace rates vvm D (66/100) and it passed the safety scan; the rating is based on static analysis only.
VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM is the runtime. Activate when: running .vvm files, mentioning VVM, calling /vvm-boot, /vvm-run, /vvm-compile, /vvm-run-inspect, /vvm-registry-inspect, /vvm-generate, or orchestrating multi-agent workflows. Read spec.md for the language specification and vvm.md for execution semantics.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 60
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
- 84 / 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
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