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Scans the knowledge base for entities that appear together in multiple contexts but have no explicit edge in the knowledge graph. These are implicit relationships that may deserve explicit documentation. The `--min` flag sets the co-occurrence threshold.
Passed 23 of 23 test cases with the skill, and 10 of 23 without it.
and 10 more in the full report
13 fixed10 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the exact Mix task name executed inside the engine to scan for unlinked entity co-occurrences?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies optimal.reflect | Missed | Passed |
The instructions your model reads when the skill loads.
Scan for entity co-occurrences not captured as graph edges.
Scans entities that co-occur in contexts but have no edge between them. Suggests missing relationships. With Ollama: classifies relationship type (works_with, reports_to, related_to, depends_on). Without: reports co-occurrence count.
/reflect # Scan with default limit
/reflect --limit 20 # More results
| Flag | Description | Default |
|---|---|---|
--limit | Max suggestions | 10 |
cd engine && mix optimal.reflect
cd engine && mix optimal.reflect --limit 20
test cases passed, vs 10 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.