omh-data-analysis

# Data Analysis This is a Hermes-native `data-analysis` workflow skill. ## Why This Exists `data-analysis` exists so Hermes users can ask for this workflow in chat and receive a structured, evidence-bounded OMH operating surface instead of ad hoc narration. ## Do Not Use When - The request is already handled by a narrower explicit skill with stronger evidence. - The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents. - The only safe answer is to ask for missing authority, credentials, target, or observed evidence first. ## Examples Good example: - Prompt: data-analysis analyze this CSV and summarize anomalies by segment. - Expected behavior: Produce `prepare_data_analysis_card` with required context, wrapper actions, and not-evidence boundaries. - Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution. Bad example: - Prompt: data-analysis invent trends from an unavailable spreadsheet. - Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened. - Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence. ## Completion Checklist - Dataset or corpus source, record scope, schema or extraction method, join assumptions, analysis question, method, and stop condition are explicit. - Numeric claims, anomalies, trends, segments, and log patterns are reported only from observed d...