Ai Prompt Optimizer Cn V1.1

Name and description align with the SKILL.md content: it aims to optimize image-generation prompts, support reverse-prompting from images, parameter tuning, A/B comparison, style mixing, and a favorites library. However, several claimed capabilities (image analysis, effect scoring, batch generation, paid tiers/API) typically require external services, storage, or runtime components that are not declared here.

SKILL.md instructs the agent to accept uploaded images, '自动分析' them, save and share a '收藏库', and perform A/B comparisons and scoring—but gives no instructions on where images or saved prompts are stored, what endpoints (if any) are used for image analysis or scoring, or how sharing is implemented. It also does not constrain where data may be transmitted, which is a privacy and coherence concern.

No install spec or code files are present; this is instruction-only, so nothing will be written to disk or installed by the registry. That reduces immediate execution risk, but it also means implementation details (storage, network calls) are unspecified.

The skill requests no environment variables or credentials, yet describes paid plans, an 'API' in the Enterprise plan, and features that normally need backend services (image processing, storage, sharing). The absence of declared endpoints/credentials is inconsistent with the claimed functionality and leaves unanswered where sensitive data and payments would be handled.

The skill claims persistent features (favorites library, saved mix schemes, sharing), but there is no declaration of config paths, storage buckets, or other persistence mechanisms. The skill does not request always:true or other elevated privileges, which is good, but the missing persistence design is a gap that should be resolved.