jichang

What problem does it solve?

When users ask whether a jichang/airport/VPN/proxy subscription provider is trustworthy, they often face SEO/affiliate noise and unreliable one-time speed-test claims; this Skill helps you separate evidence quality from risk so you don’t accidentally treat advertising as proof.

Core Features & Use Cases

• Evidence-layered evaluation: classifies sources into tiers (official, long-term measurements, negative reviews, community feedback, SEO/affiliate) and explains what each tier can and cannot prove.
• Risk marking without recommendations: flags ad pollution, domain-relationship uncertainty, recent negative patterns, and payment exposure—without producing stable/“recommended” rankings.
• Low-exposure due-diligence plan: if testing is already decided, enforces loss-minimizing guidance (trial-first, avoid annual prepay and large deposits) and specifies what to record over time.
• Safety guardrails: refuses to provide instructions for evasion, bypassing detection, or anything that increases operational misuse.

Quick Start

Ask the AI to evaluate a specific jichang provider (name or login page URL) and output evidence tiers, risk markers, and a low-exposure testing checklist instead of a recommendation.