data-quality-checker SKILL.md skillA
data-quality-checker from tradermonty/claude-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tradermonty/claude-trading-skills/data-quality-checker@git:20260228.a1b01a3Pins git:20260228.a1b01a3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tradermonty/claude-trading-skills
- Path
skills/data-quality-checker/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260228.a1b01a3, committed Feb 28, 2026
- Size
- 5,942 bytes
- Repository stars
- 3,682
- License
- MIT
Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures), instrument notation errors, date/day-of-week mismatches, allocation total errors, and unit mismatches. Supports English and Japanese content. Advisory mode -- flags issues as warnings for human review, not as blockers.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Overview Detect common data quality issues in market analysis documents before publication. The checker validates five categories: price scale consistency, instrument notation, date/weekday accuracy, allocation totals, and unit usage. All findings are advisory -- they flag potential issues for human review rather than blocking publication. ## When to Use - Before publishing a weekly strategy blog or market analysis report - After generating automated market summaries - When reviewing translated documents (English/Japanese) for data accuracy - When combining data from multiple sources (FRED, FMP, FINVIZ) into one report - As a pre-flight check for any document containing financial data ## Prerequisites - Python 3.9+ - No external API keys required - No third-party Python packages required (uses only standard library) ## Workflow ### Step 1: Receive Input Document Accept the target markdown file path and optional parameters: - `--file`: Path to the markdown document to validate (required) - `--checks`: Comma-separated list of checks to run (optional; default: all) - `--as-of`: Reference date for year inference in YYYY-MM-DD format (optional) …
Read the whole file at its exact version.
How to install
mdr add tradermonty/claude-trading-skills/data-quality-checker@sha256:d9473d7f8980aa2bThe line at the top of this page pins the label git:20260228.a1b01a3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_polzjqvfh5i4aeyn)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Feb 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5942 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tradermonty/claude-trading-skills · 3,682 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_polzjqvfh5i4aeyn GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/data-quality-checker GET https://markdownregistry.com/api/v1/blob/d9473d7f8980aa2b58b8877c9b6724cee1a32ec1ff42869e8a7e92724ae96773
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.