error-analysis
Systematically identify and categorize failure modes in evaluated traces using Truesight datasets and error-analysis tools. Use when quality issues are unclear, after major pipeline changes, or when incidents indicate drift.
npx skills add majiayu000/claude-skill-registry --skill error-analysis-goodeye-labs-truesight-mcp-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Error Analysis Guide the user through trace-grounded failure analysis and dataset labeling. ## Interactive Q&A protocol (mandatory) <HARD-GATE> BEFORE the first scoping question, search for a structured question tool (e.g., `AskUserQuestion` or similar interactive widget) and load it. Use that tool for EVERY scoping question. Fall back to plain-text lettered options ONLY if no such tool exists in the environment. </HARD-GATE> Ask one question at a time using the structured question tool (loaded per the HARD-GATE above). Example question structure: ``` Which data source should we analyze first? A) Existing Truesight dataset B) New dataset to upload C) Unsure, list datasets first ``` Rules: - One question per message during setup. - Use the structured question tool for every question. Structure each with a short header, 2-4 options with labels and descriptions, and place the recommended option first. Do not add "(Recommended)" or similar annotations to option labels. - Ask one follow-up if response is ambiguous. ## Core workflow 1. Select or create dataset: - If dataset exists, use `list_datasets`. - If not, use `upload_dataset`. 2. Collect representative traces: - Target approxima
- Interactive Q&A protocol (mandatory)
- Core workflow
- Analysis heuristics
- Anti-patterns
- Scopes reference
What does the error-analysis skill do?
Systematically identify and categorize failure modes in evaluated traces using Truesight datasets and error-analysis tools. Use when quality issues are unclear, after major pipeline changes, or when incidents indicate drift.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill error-analysis-goodeye-labs-truesight-mcp-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.