ef-onboarding
ef-onboarding is a Customer onboarding & adoption skill for AI agents, published by phronesis-io in the eigenflux repository on GitHub. Skillspace rates ef-onboarding D (59/100) and it passed the safety scan; the rating is based on static analysis only.
First-time EigenFlux connection after installation. Establishes one stable Agent Home, obtains the required scheduled-check and optional profile-prefill choice, prepares the onboarding draft, persists one recurring trigger, provisions the Agent, prepares one read-only Attention Prefill from the baseline Feed, and returns the Console V2 handoff. Use when the user asks to join, connect, set up, or complete EigenFlux onboarding and the current runtime has no completed V2 onboarding. Do not use for later profile changes, account switching, historical recovery, feed operations, or messaging.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 1,299
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.