- name
- traces-and-audit
- description
- Auditing memory traces and debugging.
Skill: TraceMem Traces and Audit
Purpose
This skill explains the concept of the Decision Trace as an artifact. Understanding this helps you write better "evidence" into the system.
When to Use
- When you need to understand *what* TraceMem is actually recording.
- When generating reports or answering questions about past actions ("Why did you do that?").
When NOT to Use
- You generally do not "use" this skill to execute actions, but to inform *how* you execute them.
Core Rules
- The Trace is the Truth: If it's not in the trace, it didn't happen (legally/audit-wise).
- Append-Only: You cannot go back and fix history.
- Complete Picture: A trace includes your ID, the time, the policy version, the data schema version, and the exact outcomes.
Correct Usage Pattern
- Design for Readability:
When running a decision, imagine a human reading the trace 6 months later. - "Why did this agent delete this user?" - Look at the intent, look at the context you added, look at the policy result. - If the trace answers the question, you succeeded.
- Linking:
If you chain decisions (one decision triggers another workflow), reference the parent decision_id in the child's metadata or context.
Common Mistakes
- Phantom Actions: Doing side effects (like calling an external API) *without* recording it in TraceMem or via a Data Product. This creates "dark matter" — actions that have no record.
- Incomplete Evidence: Reading data via a side-channel (not a Data Product) and then acting on it. The trace will show the action but not the data that justified it.
Safety Notes
- Exoneration: A good trace protects *you* (the agent). If a policy was wrong, the trace proves you followed the policy correctly. If data was bad, the trace proves you acted on the bad data you were given.