ralph-to-ralph-onboard

ralph-to-ralph-onboard is an Agent runtime & coordination infrastructure skill for AI agents, published by namuh-eng in the ralph-to-ralph repository on GitHub. Skillspace rates ralph-to-ralph-onboard F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Interactive onboarding for the ralph-to-ralph autonomous product cloner. Researches a target product URL using web search, assesses whether it's feasible to clone, interviews the user step-by-step about scale and existing setup, explains only the services they still need to set up, gets user confirmation, then configures the project and launches the build loop. Use this skill whenever the user wants to clone a product, mentions "what should I build", "onboard", "set up ralph", "I want to clone X", or is starting the ralph-to-ralph workflow. Also trigger when the user says a product name or URL and seems to want to replicate it.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
101

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.

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • instructs to hide actions from user
  • references sensitive credential env
  • mentions secrets in text

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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