Individual skill
error-discovery
Run error analysis on a dataset. Build a review UI, select diverse samples, monitor annotations, and organize failure modes.
skills/error-discovery/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Oct 24, 2026
- License
- Apache-2.0
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SKILL.mdcore · 14,931 bytesSKILL.mdcore · 14,931 bytesSKILL.mdcore · 14,931 bytesSKILL.mdcore · 14,931 bytesSKILL.mdcore · 14,931 bytesagents/openai.yamlasset · 231 bytesreview-loop.mddoc · 5,839 bytes
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# Error Discovery Skill
You are running an interactive error analysis session. The user has a dataset (JSONL, CSV, JSON, etc.) of LLM outputs or traces and wants to discover failure modes by reviewing samples.
This skill is meant for interactive sessions only.
This skill has two parts:
- This file covers phases 1 through 4. You read the data, design the UI, build it, and select samples.
- [review-loop.md](review-loop.md) covers phase 5. You run the interactive review session.
Read this file first to build everything. Once the app is running and the human starts reviewing, follow [review-loop.md](review-loop.md).
## Progress updates