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SKILL verified MIT Self-run

Journey Rag

skill-butterbase-ai-butterbase-skills-journey-rag · by butterbase-ai

Use as the RAG build stage of the Butterbase journey. Implements the RAG section of 02-plan.md by delegating to rag-dev. Calls manage_rag_content (create_collection, ingest_document). Skipped if the plan has no knowledge-base feature.

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Install

$ agentstack add skill-butterbase-ai-butterbase-skills-journey-rag

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Journey: RAG

Stage 3g of the guided journey. Create RAG collections and ingest initial documents.

When to use

  • Dispatched by journey when current_stage: rag.
  • Directly via /butterbase-skills:journey-rag.
  • Skipped (annotated (n/a)) if the plan has no RAG section.

Preflight

If docs/butterbase/03-preflight.md is missing, older than 24 hours, or 00-state.md has app_id: null, invoke butterbase-skills:journey-preflight first. Wait for it to return successfully before proceeding.

Inputs

  • docs/butterbase/02-plan.md — the RAG section.
  • docs/butterbase/00-state.md — for app_id.

Procedure

  1. Refresh docs. Call butterbase_docs with topic: "rag". For ingestion + retrieval patterns, also WebFetch https://docs.butterbase.ai/ai/rag. Skip if cache is fresh.
  1. Read the RAG section. Print it back: "About to set up RAG: collections=. Proceed?". Wait for yes.
  2. Invoke butterbase-skills:rag-dev via the Skill tool with the RAG plan and app_id. The wrapped skill calls manage_rag_content action: create_collection, then ingest_document for any seed sources the user provides.
  3. Smoke: call rag_query with a representative question and show the user the top hit.
  4. Append one line to docs/butterbase/04-build-log.md:

rag manage_rag_content ok

  1. Tick - [x] rag in 00-state.md, set current_stage: to the next unchecked stage.
  2. Return to journey orchestrator (or ask "Continue to the next stage? (yes/no)").

Outputs

  • Created RAG collections, ingested seed docs.
  • One line in 04-build-log.md.

Anti-patterns

  • ❌ Ingesting huge document sets in a single call — chunk and poll get_document_status.
  • ❌ Skipping the smoke rag_query — silent embedding failures are common.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.