ai-assessment-interview
ai-assessment-interview is a Lead qualification skill for AI agents, published by Fergana-Labs in the stash repository on GitHub. Skillspace rates ai-assessment-interview D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Run a guided AI-readiness interview with a business owner, qualify them as a lead, and generate a one-page "AI Opportunity Snapshot" report (HTML) in the assessment brand style. Use when asked to "interview a prospect", "qualify this lead", "run the assessment interview", or "generate a snapshot report". Works two ways: operator-led (you on a call with the prospect) or self-serve (the prospect runs this prompt themselves and sends back the result).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 244
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
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Tied to this company's branded paid AI assessment offer
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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