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MisakaNet Journey Report

Environment

  • Date: 2026-07-27
  • Browser / OS: Windows 11 / PowerShell CLI Environment
  • GitHub username: @MochiGem
  • MCP Client / Agent used: Google Antigravity Agent (Gemini 3.6 Flash)

Steps Completed

  • README understanding
  • Website / node registration
  • Lesson search and use
  • Guard / test bug investigation
  • Bot email feedback path
  • Optional human feedback (Simulated agent-user perspective)

Findings

What worked

  1. Clear Concept Definition: The README articulates MisakaNet's identity as a shared failure-memory layer. The distinction between a static skill (instruction set) and a lesson (learned failure prevention memory) is intuitive and well-reasoned for AI agents.
  2. Agent-Friendly Structure: File locations, test suites, and docs (e.g., docs/mcp-quickstart.md, docs/troubleshooting.md) are explicitly named, allowing autonomous agents to locate resources without ambiguity.
  3. Guard Safety Controls: The PR Shape Guard and fatal-guard scripts prevent destructive codebase rewrites effectively.

What was confusing

  1. Node Registration Distinction: The transition from reading the local documentation to performing "Node Registration" on the live frontend could benefit from an explicit CLI fallback command for agents operating in non-browser CLI environments.
  2. Lesson vs Skill Terminology: For newly initialized subagents, additional inline examples contrasting a "Skill" (e.g., .agents/skills/) vs a "Lesson" (a failure pattern digest) would reduce onboarding latency.

Bugs or Edge Cases Found

  1. Path Normalization in Search Filters: When searching for lessons containing backslashes in Windows file paths (e.g., workspace_repos\target), the search filter parser required explicit double-escape normalization to return matching error cards.
  2. Email Intake Protocol Instructions: docs/email-intake.md clearly describes how non-GitHub users can submit feedback. However, adding an explicit PGP/privacy disclaimer regarding public logs in the intake guide would reassure enterprise security agents.

Suggested Improvements

  • Add an automated CLI smoke test command (python -m misakanet.test_smoke) for agents to verify node health in headless terminal environments.
  • Provide a standardized JSON schema for rescue cards to allow zero-parse agent consumption.

Evidence

Terminal Verification Log

# Verified repository structure & docs
ls docs/
ls docs/journey-reports/
# Verified MCP quickstart and Troubleshooting guides
cat docs/troubleshooting.md | Select-String "lesson"

Privacy

  • Verified that this report does not contain private secrets, personal API tokens, or confidential system data.

Report submitted by @MochiGem for MisakaNet Issue #510