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Processes external resources into stored knowledge with quality scoring and routing.
Passed 17 of 21 test cases with the skill, and 8 of 21 without it.
and 15 more in the full report
11 fixed8 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Provide the CLI command flag used with `scripts/intake_cli.py` to review and process entries stored in `docs/knowledge-corpus/queue/` interactively.
| Checked | Without skill | With skill |
|---|---|---|
| uses --process-queue flag for queue review | Missed | Passed |
The instructions your model reads when the skill loads.
Process external resources into the knowledge store. When a user links an article, blog post, or paper, this skill guides evaluation, storage decisions, and application routing.
A knowledge governance framework that answers three questions for every external resource:
When a user links an external resource, it is a signal of importance.
The act of sharing indicates the resource passed the user's own filter. Our job is to:
When a user shares a link:
1. FETCH → Detect format, retrieve and convert content
2. EVALUATE → Apply importance criteria
3. DECIDE → Storage location and application type
test cases passed, vs 8 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.