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Scans all context files mentioning a topic, checks when they were last updated, compares against recent signals, and identifies stale or contradictory information. Suggests specific updates to bring contexts current.
Passed 22 of 22 test cases with the skill, and 5 of 22 without it.
and 14 more in the full report
17 fixed5 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the full single-line shell command sequence to run the engine mix tool for subject "Ed Honour" with a 20 result cap.
| Checked | Without skill | With skill |
|---|---|---|
| Outputs cd engine && mix optimal.reweave "Ed Honour" --max-results 20 | Missed | Passed |
The instructions your model reads when the skill loads.
Backward-pass analysis to find stale contexts and suggest updates.
Given a topic: searches related contexts → traverses entity graph → scores staleness → generates update suggestions. With Ollama: specific diff suggestions. Without: staleness flags with newer context titles.
/reweave "Ed Honour"
/reweave "AI Masters pricing" --max-results 20
/reweave "platform architecture" --staleness-days 14
| Flag | Description | Default |
|---|---|---|
--max-results | Max contexts to analyze | 10 |
--staleness-days | Threshold for "stale" | 30 |
cd engine && mix optimal.reweave "topic"
cd engine && mix optimal.reweave "Ed Honour" --max-results 20
test cases passed, vs 5 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.