success-criteria
success-criteria is a Customer onboarding & adoption skill for AI agents, published by t0ddc3by in the claude-for-customer-success repository on GitHub. Skillspace rates success-criteria C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Define, refine, and track onboarding success criteria with the customer. Produces a structured success criteria document — typically 3–5 measurable outcomes the customer commits to achieving by the end of onboarding. Reads your criteria format, review cadence, and methodology from your onboarding profile. Use --define (default) to facilitate a criteria definition session from scratch, --refine to adjust existing criteria after a scope change, --review to assess current progress against confirmed criteria, or --export to produce a clean customer-facing criteria summary without internal notes.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 57
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
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Reusable onboarding success-criteria process configured per adopting company
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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