intent-and-automation

Original🇺🇸 English
Translated

Handling user intent and automating memory tasks.

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NPX Install

npx skill4agent add tracemem/tracemem-skills intent-and-automation

Tags

Translated version includes tags in frontmatter

Skill: TraceMem Intent and Automation Modes

Purpose

This skill explains how to choose the correct
intent
and
automation_mode
for a Decision Envelope. Correct classification is critical for potential policy checks and audit clarity.

When to Use

  • When calling
    decision_create
    and you need to populate the arguments.
  • When determining if a task requires human-in-the-loop (
    propose
    ) or can be done automatically (
    autonomous
    ).

When NOT to Use

  • Do not invent new automation modes. Stick to the strict list.

Core Rules

  • Intent is Hierarchical: Intents must be dot-separated strings ordered from general to specific (Category -> Entity -> Action). Example:
    customer.order.refund
    .
  • Automation Mode is Binding: The mode you select declares your authority level.
    • propose
      : You will only read data and suggest actions. You will NOT write/execute.
    • approve
      : You will execute, but only after explicit human approval (often enforced by policy).
    • override
      : You are explicitly breaking a rule (requires high permission).
    • autonomous
      : You will execute immediately without human intervention.

Correct Usage Pattern

Choosing an Intent

Structure:
<Domain>.<Entity>.<Action>
  • Good:
    security.access_log.scan
    ,
    billing.invoice.void
    ,
    support.ticket.reply
    .
  • Bad:
    scan_logs
    ,
    fix_thing
    ,
    decision_1
    .

Choosing Automation Mode

  1. Are you just looking?
    • Mode:
      autonomous
      (if read-only duties are pre-approved) or
      propose
      (if you are just gathering info for a human).
  2. Are you planning to change state (write/delete)?
    • If you need permission first: Mode
      propose
      (stop after planning).
    • If you have permission but need confirmation: Mode
      approve
      (TraceMem might force this anyway).
    • If you are fully trusted logic: Mode
      autonomous
      .

Example

json
{
  "intent": "network.firewall.block_ip",
  "automation_mode": "autonomous",
  "actor": "security-agent-v2"
}

Common Mistakes

  • Mismatched Mode: interacting as
    propose
    but then trying to
    decision_write
    (TraceMem may block this or flag it as a violation).
  • Inconsistent Intents: Using
    user.create
    in one decision and
    create.user
    in another. Be consistent.

Safety Notes

  • Policy Triggers: Policies are often attached to specific intents. Using the wrong intent might bypass safety checks or trigger unnecessary alarms.
  • Escalation: If you start as
    autonomous
    but policy returns
    requires_exception
    , you effectively switch to an approval flow. The initial mode was your desired mode.