data-quality-monitoring-dashboard SKILL.md skillA
data-quality-monitoring-dashboard from himanshuj16/algo-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add himanshuj16/algo-trading-skills/data-quality-monitoring-dashboard@v2.0.0Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- himanshuj16/algo-trading-skills
- Path
skills/data-quality-monitoring-dashboard/SKILL.md- Versions recorded
- 5
- Latest version
- v2.0.0, committed Sep 3, 2026
- First version recorded
- Jul 30, 2026
- Size
- 7,172 bytes
- Repository stars
- 50
- License
- Apache-2.0
Use when monitoring feed completeness, timeliness, outliers, uniqueness and liveness across market data vendors, to catch null prices, latency spikes and stalled feeds before an algorithm trades on them.
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
## When to Use
Use this skill in production trading operations, market data ingestion servers, and feature stores to monitor data quality metrics across vendors (Bloomberg, Refinitiv, Databento, Polygon). Poor market data quality (null prices, latency spikes, duplicate ticks, or stalled feeds) causes execution algorithms to misfire or generate bad orders. This module computes a composite Data Quality Score ($0.0$ to $100.0$), emits alerts, and recommends fallback to a secondary feed when the score drops below the configured failover threshold.
## When NOT to Use
- **As a compliance metric.** The composite score is an internal engineering signal. No regulator or standards body defines a market data DQ score — see `references/standards.md`.
- **As the outlier detector itself.** This engine consumes an `outlier_records_count` produced upstream; it does not classify outliers. Feeding it a naive z-score count will flag genuine news-driven moves as data defects.
- **As the sole liveness check.** $ ext{TPS} > 0$ does not prove freshness: a feed replaying stale data still ticks. Pair with a source-side timestamp age check.
…Read the whole file at its exact version.
How to install
mdr add himanshuj16/algo-trading-skills/data-quality-monitoring-dashboard@sha256:e3c1521e117d5bc4The line at the top of this page pins the label v2.0.0, 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_m2u5cabuor5j3gzv)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 30, 2026 and Sep 3, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-09-03 | 8527a51 | 7,172 B | A | view · diff |
| v2.0.0 | 2026-08-23 | a0fdc9e | 7,139 B | A | view · diff |
| v1.0.0 | 2026-08-07 | 89d1436 | 3,551 B | A | view · diff |
| v1.0.0 | 2026-07-30 | dfc60c7 | 3,549 B | A | view · diff |
| v1.0.0 | 2026-07-30 | 66d0ca2 | 3,564 B | A | view |
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 (7172 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
himanshuj16/algo-trading-skills · 50 stars · license Apache-2.0 · pushed 2026-09-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_m2u5cabuor5j3gzv GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/data-quality-monitoring-dashboard GET https://markdownregistry.com/api/v1/blob/e3c1521e117d5bc42a99021b3ed8b633aefae9bf7a7e78185455776871262f3a
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.