# Tcx Data Qc

> Check dates, units, currency, market anchors, formulas, and stale-data gaps before numbers drive investment reasoning.

- Skill: `monarchjuno/tcx-data-qc` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add monarchjuno/tcx-data-qc`
- Raw SKILL.md: https://api.skillmd.com/api/skills/monarchjuno/tcx-data-qc/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: monarchjuno (https://skillmd.com/u/monarchjuno)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/monarchjuno/tcx-data-qc

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# Numeric Data QC

Use this procedure when numeric data, valuation inputs, market anchors,
portfolio exposure, or risk limits affect readiness.

Required output shape:

- source date and retrieval date
- period alignment
- units and currency
- share count and per-share consistency when relevant
- source versus derived versus assumption labels
- current price or market anchor with as-of posture when relevant
- formula sanity checks
- field-level gaps and the claims or actions they limit

Quality floor:

- Do not mix periods, units, currencies, or share bases silently.
- Label derived calculations and assumptions.
- Do not fabricate prices, metrics, formulas, or retrieval timestamps.
- Judge freshness against the requested as-of and the source's expected
  observation or publication cadence; an unavailable future period is not
  stale data.
- Preserve valid fields and downgrade only the conclusions or actions that
  depend on missing, stale, conflicting, or ambiguous inputs.

Put the data-quality result near the top of the artifact so synthesis can see
whether numeric claims are decision-ready.