moav-e2e
moav-e2e is an Integration & environment testing skill for AI agents, published by MotherofallVPNs in the MoaV repository on GitHub. Skillspace rates moav-e2e D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Run and debug MoaV's end-to-end tests — real protocol connectivity (client-test.sh) and the moav CLI smoke test — against a LIVE server, via the self-hosted e2e workflow or a local test VPS. Use when validating a branch before release, diagnosing a protocol that won't connect, or checking that moav CLI commands still work after a change. Knows the domainless (no-cert) vs domain (full-protocol) modes, how to read the pass/warn/skip/fail matrix, and the known failure modes with their fixes.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 344
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
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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