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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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Dépôt
a5c-ai/atlas-opencode
Dernière activité de la source
12 juin 2026 à 11:29
Langue détectée de SKILL.md
anglais
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SKILL.md
Instructions source · Aperçu en lecture seule
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: ``` ${OPENCODE_PLUGIN_ROOT}/processes/atlas-systems-discovery.mjs#process ``` (e.g. `babysitter run:create --process-id atlas-systems-discovery --entry "${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
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