# Discover

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

- Skill: `a5c-ai/discover` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/discover`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/discover/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/a5c-ai/discover

---


# 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:

```
${OPENCODE_PLUGIN_ROOT}/processes/atlas-systems-discovery.mjs#process
```

(e.g. `babysitter run:create --process-id atlas-systems-discovery --entry "${OPENCODE_PLUGIN_ROOT}/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