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Assess documentation completeness against BetterBench/Datasheets standards
Passed 6 of 20 test cases with the skill, and 3 of 20 without it.
and 9 more in the full report
6 fixed1 passed either way13 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We created a conversational dialogue benchmark with multi-turn transcripts. Review our documentation package to check if we adequately documented language demographics, annotator information, and speech context.
| Checked | Without skill | With skill |
|---|---|---|
| Applies Data Statements for NLP to check language demographics and annotator details. | Missed | Passed |
| Applies Datasheets for Datasets to evaluate overall dataset provenance. | Missed | Passed |
The instructions your model reads when the skill loads.
Assess benchmark documentation completeness against established standards: BetterBench 46-criterion framework, Datasheets for Datasets, and Data Statements for NLP.
Documentation completeness score with per-criterion pass/fail and prioritized gaps.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
test cases passed, vs 3 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.