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test-agent-notes-opus-20260123

Test Agent Notes (Opus 2026-01-23)

Notes from completing the Oculus Proficiency Test on 2026-01-23.

Test Results

All proficiency test tasks completed successfully:

  • Find and Read ✅ - Found oculus-tagging-taxonomy via grep, extracted namespace:value convention
  • Explore Structure ✅ - Used index format on cmd-poke: 69 sections, 25 fences
  • Extract Data ✅ - Peeked API request schema at cli-command-poke.usage.api-request-schema.json
  • Create Documentation ✅ - Created this node with findings
  • Link Your Work ✅ - Linked south from test node with backlink
  • Add Section ✅ - Added this Test Results section via poke append
  • Complete Test ✅ - Marking tasks complete via virtual fence execute

Key learnings: The index format is essential for working with large nodes efficiently. The DWIM fence addressing with full paths provides precise data extraction.

Tagging Conventions

Key findings from oculus-tagging-taxonomy:

  • Format: Tags use namespace:value format for structured categorization
  • Plain tags: Tags without colons are general-purpose
  • Core namespaces:- pattern: - Defines a methodology or convention
  • implementation: - Marks concrete realizations of patterns
  • guide: - Documentation guides by audience (gentik, user, admin)
  • status: - Lifecycle status
  • type: - Node type classification
  • Wonderland namespaces:- potion: - Executable capabilities (tools, utilities)
  • cake: - Learning paths (reading lists, knowledge to consume)
  • Date tags: YYYY-MM, YYYY-MM-DD, YYYY-MM-wWW for temporal tracking
  • Hygiene: 3-7 tags per node is usually sufficient

Index Format Benefits

Using ______look({ format: "index" }) provides significant advantages:

  • Context efficiency: Returns only structure, not full content
  • Large node handling: Essential for nodes >10KB (cmd-poke is ~26KB)
  • Auto-selection: Oculus automatically uses index format for large nodes
  • Prevents bloat: Avoids consuming context window with content you may not need
  • Discovery: Perfect for finding fence indices before executing actions

Structure Exploration Findings (Task 2)

Explored cmd-poke node using index format:

Metric Value
Sections 69
Fences 25
Content Size ~26KB

Interesting fence: Index 3 - JSON fence in "API Request Schema" section containing the poke API schema.

Peek Extraction (Task 3)

Path used: cli-command-poke.usage.api-request-schema.json

Value extracted (API Request Schema):

{
  "path": "section.subsection",
  "value": "content or object",
  "operation": "set|append|prepend|replace",
  "fence_type": "yaml|json|python|...",
  "force": false,
  "create_if_missing": false,
  "context": "optional trace context"
}

This shows the full poke API request structure with all available options.

Provenance

Document

  • Status: 🔴 Unverified

Changelog

  • 2026-01-23 15:45: Node created by mcp - Creating notes node for Oculus proficiency test completion

North

slots:
- slug: oculus-proficiency-test-20260123-a
  context:
  - Linking proficiency test notes as completion evidence