loading
loading
Brief a software or AI vendor on capability fit, evidence gaps, lock-in, and data risk.
Separates a vendor's marketing claims from audited proof and surfaces the lock-in and data-export risks before you commit, not after.
Listed for review
No verified public repo for this skill yet, so this page does not give you an install command. Skills with a verified source install in one command — or fully manual: copy the skill folder into .claude/skills/ and your agent picks it up.
Boostor Quality Score
84/100 · B
Vendor Risk Review reads a vendor's site or docs against your use case, data sensitivity, and alternatives, then returns a brief: capability fit, evidence gaps, lock-in risk, data risk, and the questions to ask before committing. It labels marketing claims separately from contractual, technical, or audited proof, and it makes the exit and data-export risks explicit instead of treating brand reputation as a security guarantee.
Turn scattered interviews and support notes into churn themes, each backed by a real quote.
Every churn theme carries a real quote or gets marked a hypothesis — so one offhand comment never becomes a roadmap decision.
Transparent + deterministic: every point above is computed from this skill's real fields plus a prompt-injection safety scan. No black box, no pay-to-rank.
Build a ledger of competitor claims labeled verified, public-surface, inferred, weak, or unsupported.
Separates a competitor's marketing claim from hands-on proof and keeps the unknowns honest — instead of overrating a slick landing page.
Summarize contract redlines into changed terms, business impact, and what needs legal review.
Surfaces the commercial terms that bite — payment, renewal, liability — and flags what needs counsel, without pretending to be your lawyer.