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discover

Scan your real systems (Azure + repos + dirs) and map them into a layered, source-cited atlas; enrich against the Atlas graph (secondary).

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a5c-ai/atlas-github-copilot
最近来源活动
2026年6月12日 11:29
检测到的 SKILL.md 语言
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安装方式

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。

检查来源文件

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。

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SKILL.md
来源说明 · 只读预览
name
discover
description
Scan your real systems (Azure + repos + dirs) and map them into a layered, source-cited atlas; enrich against the Atlas graph (secondary).
# discover Invoke the babysitter:babysit skill (using the Skill tool) and follow its instructions (SKILL.md). Run the PRE-AUTHORED atlas process bundled with this plugin — do NOT interview the user or author a new process. Create the run directly from this bundled entry and iterate it to completion: ``` ${COPILOT_PLUGIN_DIR}/processes/atlas-systems-discovery.mjs#process ``` (e.g. `babysitter run:create --process-id atlas-systems-discovery --entry "${COPILOT_PLUGIN_DIR}/processes/atlas-systems-discovery.mjs#process" --harness <this-harness>`, then iterate.) Pass the user arguments below as the run's stated need / process inputs. Continue executing in this same turn; do not stop after the Skill tool returns. This process is SCAN-FIRST: it parses the stated sources, then runs READ-ONLY scans of the user's REAL systems — Azure via `az` (Bash), git repos, and local directories — and synthesizes a cross-linked, source-cited atlas where every item cites a real resource id / RG / file path. The Atlas knowledge graph (mcp__atlas__atlas_public_*) is used only as SECONDARY enrichment/comparison, never as the primary content. Never invent resource ids or file paths; only scan the sources named in the arguments. User arguments for this command: $ARGUMENTS
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