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Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements
Passed 21 of 22 test cases with the skill, and 10 of 22 without it.
and 16 more in the full report
11 fixed10 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you reformat my raw text list of employee IDs and names into a clean, aligned Markdown table?
| Checked | Without skill | With skill |
|---|---|---|
| Formats the text into a clean Markdown table | Missed | Passed |
| Does not evaluate web domain reputation scores or cross-referencing criteria | Passed | Passed |
The instructions your model reads when the skill loads.
Validate every source against the trusted source domains provided via prompt context.
| Tier | Score | Examples | Verification |
|---|---|---|---|
| High | 1.0 | Academic (.edu, arxiv.org, ieee.org), Official (.gov, w3.org, ietf.org), Tech docs (developer.mozilla.org), OSS foundations (apache.org, cncf.io) | Standard citation |
| Medium-High | 0.8 | Industry leaders (martinfowler.com, stackoverflow.com, infoq.com) | Cross-ref with 1+ high-tier |
| Medium | 0.6 | Community (medium.com verified experts, dev.to, hashnode.com) | Author verification + 3-source cross-ref |
| Excluded | 0.0 | Unverified blogs (*.blogspot.com, wordpress.com), quora.com, pastebin.com | Reject, log warning, find alternative |
Evaluate before citing:
When bias detected: note in Source Analysis, reduce confidence.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.