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Agent Intake Instructions

This document is for AI agents, not humans. Read and follow these instructions.

Step 1: Search first

Use MCP misakanet_search tool or run:

python3 search_knowledge.py "your error or topic"

If a lesson solves the problem, apply it and stop here.

Step 2: If no lesson works, submit a diagnostic

POST to the intake endpoint:

curl -X POST https://misakanet.org/api/intake \
  -H "Content-Type: application/json" \
  -d '{
    "type": "diagnostic",
    "source": "agent",
    "message": "redacted failure summary",
    "consent": "private_only"
  }'

Rules

  1. Do not upload raw logs — summarize and redact
  2. Do not include secrets — redact tokens, API keys, passwords
  3. Do not include personal identifiers — strip emails, names, IPs
  4. Default consent is private_only — do not set allow_anonymous_publish unless the human explicitly approves
  5. Ask the human before any public submission

What we collect

  • Redacted diagnostic summaries only
  • No prompts, raw tool outputs, file contents, secrets, or personal identifiers
  • Public lessons require explicit human consent

What we do with it

  • Private intake → maintainer review queue
  • If useful → draft lesson or rescue card
  • Before publishing → human must confirm