@toddzheng024/vapor-review
Vapor 审查工具操作
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add @toddzheng024/vapor-review@0.3.0review.evidence, review.style-samples
vapor-review 以 @toddzheng024/vapor-review 发布，当前版本为 0.3.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →Install as a DSH bundle alongside @toddzheng024/vapor 0.3.0. Requires Node 24+, FFmpeg/FFprobe and a Python environment selected by VAPOR_TOOLS_PYTHON (or plugin config.python). Install requirements.txt into your own environment. No install hook downloads models or runs media.
In Vapor Lab, select a plugin tool, enter project-relative file paths, prepare, then execute. Agents use media_tools_list, media_tool_prepare, media_tool_run and media_tool_get. Remote work requires exact user approval in Lab; media_tool_resume only resumes the original job. Use the recovery panel for provider receipts and verified billing. The project uses one generation/ledger.json across plugins.
Tool inputs and outputs live in VAPOR_PROJECT_ROOT, not node_modules. Setup credentials in the process environment; plugins do not read .env files. Models and voice profiles stay in project models/ and voices/, and are never included in packages. Results retain pending visual/listening/playback review.
See tool operations for the executable interface.
