菜单
Use when a Emissions Data Analyst asks to aggregate the synthetic scope inventory.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/microsoft/aibast-agents-library --skill emission-tracking-emissions-dashboard命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Install and configure RAPP Brainstem -- a local-first AI agent server powered by GitHub Copilot.
Run supported AIBAST workshops directly through GitHub Copilot Agent mode.
Run supported AIBAST workshops through Brainstem, the learner's personal on-device training AI working alongside GitHub Copilot.
基于 SOC 职业分类
正在显示 SKILL.md
| name | emission-tracking-emissions-dashboard |
| description | Use when a Emissions Data Analyst asks to aggregate the synthetic scope inventory. |
Use the emissions_dashboard operation. The canonical persona prompt is:
Consolidate the Ridgeline scope totals and state the evidence limitation.
emissions_dashboard operation behavior.Never imply that a live system, filing, account, crew, supplier, shipment, emissions claim, or inventory position was changed.