multica-onboarding
multica-onboarding is a Customer onboarding & adoption skill for AI agents, published by multica-ai in the multica repository on GitHub. Skillspace rates multica-onboarding D (60/100) and it passed the safety scan; a judge model has also reviewed it.
Use when a product-authored kickoff starts or resumes Mika's interactive onboarding for a Multica workspace. The opening greeting has already been sent; carry the member from their first message to one real, confirmed, issue-based execution and a clear handoff.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 49,701
Placed #3 of 6 in the judged category final for Customer onboarding & adoption.
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Customer onboarding & adoption.
- Trigger
84 84 - Instructions
88 88 - Specificity
87 87 - Safety
89 89 - Disclosure
62 62 - Maintenance
80 80
Concrete, hard-won details like the UTC-default timezone bug and explicit restraint against creating automations prematurely, delivered as one long inline narrative.
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- 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.