Paper Defense Q&A + Code Audit + Visual Answer Cards
Analysis
This appears to be a coherent paper-defense preparation skill; the main cautions are that it may summarize private research/code artifacts and optionally hand prompt packs to an external image model.
Findings (2)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
推荐输入 ... 官方或复现代码仓库 ... 训练脚本、评估脚本、配置文件、日志、checkpoint、seed、硬件信息 ... 主要输出 generated/defense/<paper-slug>/defense_qa_bank_cn.json ... visual_qa_storyboard_cn.json
The skill is designed to ingest research/code/training artifacts and produce persistent derivative defense files. That is purpose-aligned, but the generated outputs may preserve proprietary code details, experiment logs, or unpublished research content.
请把 visual_qa_storyboard_cn.json 交给 ChatGPT Images 2.0 / gpt-image-2 或用户批准的高级文生图 API。不要在当前文字回答步骤中直接混合执行生图。
The workflow contemplates handing the visual storyboard to an external image model/API. It is explicitly separated from the text step and tied to user approval, but it can still disclose paper-defense content to a third-party provider.
