onboarding
onboarding is a Customer onboarding & adoption skill for AI agents, published by code-yeongyu in the oh-my-openagent repository on GitHub. Skillspace rates onboarding D (60/100) and it passed the safety scan; a judge model has also reviewed it.
Guides a first-time omo user through setup and the core workflow. Use when a new user asks to get started with omo.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 69,009
Placed #4 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 #4 of 6 in the judged category final for Customer onboarding & adoption.
- Trigger
70 70 - Instructions
64 64 - Specificity
68 68 - Safety
74 74 - Disclosure
44 44 - Maintenance
56 56
A detailed feature catalog and a good 'be concrete, not generic' rule, but it reads more like product marketing copy than a procedural onboarding workflow.
The huge feature catalog it tells itself to present gradually is instead dumped inline in the skill body, undercutting its own progressive-disclosure advice.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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.