data-triage

name	data-triage
description	Triage and summarize local data files (CSV/TSV/JSON/JSONL) and plain-text logs when the user provides a file path or pasted snippet and asks to “analyze/understand/validate/clean/summarize” the data. Use to quickly profile columns, detect schema issues, count missing/unique values, find obvious anomalies, and produce a safe-by-default summary (avoid leaking raw sensitive values unless explicitly requested).
metadata	{"nanobot":{"emoji":"📊"}}

Data Triage

Goal: turn an unfamiliar data/log file into a short, actionable summary.

Defaults (safety + usefulness)

• Prefer statistics over raw values.
• If you must show examples, redact likely PII by default.
• Do not upload data; work locally.

Quick start

1. Ask for the file path (or confirm the path the user provided).
2. Run the bundled script for a structured profile.

python nanobot/skills/data-triage/scripts/data_triage.py <path>

If the user wants machine-readable output:

python nanobot/skills/data-triage/scripts/data_triage.py <path> --json

Workflow

1) Identify the file type

• CSV/TSV: profile columns, types, missingness, basic distribution.
• JSONL: profile keys, value types, missingness, approximate schema.
• JSON: describe top-level shape (object vs array), key coverage.
• Text logs: count lines; count error/warn/exception-like lines; extract timestamp pattern hints.

2) Produce a concise triage summary

Include:

• What the file appears to be (type, size, encoding guess)
• Row/record count estimate
• Column/key list and inferred types
• Missingness (top offenders)
• Potential issues (mixed types, extreme values, bad delimiter, malformed JSON lines)
• Suggested next steps (what to clean or what question to ask next)

3) When the user asks for cleaning

Keep cleaning operations explicit and reversible:

• Propose a transformation plan first.
• Write outputs to a new file (e.g. *_cleaned.csv).
• Confirm whether dropping rows/columns is acceptable.

Showing raw samples

Only show raw sample values if the user explicitly asks. Use --unsafe-raw to include unredacted sample values.

python nanobot/skills/data-triage/scripts/data_triage.py <path> --unsafe-raw