data-quality-monitoring SKILL.md skillA
data-quality-monitoring from fabioc-aloha/alex_skill_mall is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fabioc-aloha/alex_skill_mall/data-quality-monitoring@git:20260728.80a7ab6Pins git:20260728.80a7ab6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fabioc-aloha/alex_skill_mall
- Path
plugins/data-analytics/data-quality-monitoring/skills/data-quality-monitoring/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260728.80a7ab6, committed Jul 28, 2026
- Size
- 6,857 bytes
- Repository stars
- 5
- License
- MIT
Data pipeline quality assurance — anomaly detection, schema drift, null ratio monitoring, freshness checks, and safe-write protection for reliable data engineering.
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
# Data Quality Monitoring
> Trust your data, or fix it before anyone else sees it.
## Quality Dimensions
| Dimension | Definition | Measurement |
|-----------|------------|-------------|
| **Completeness** | All expected data present | Row count, null ratio |
| **Consistency** | Data follows expected patterns | Schema match, value ranges |
| **Timeliness** | Data arrives on schedule | Freshness, latency |
| **Accuracy** | Data reflects reality | Comparison to source |
| **Uniqueness** | No unexpected duplicates | Distinct key ratio |
## Anomaly Detection
### Row Count Monitoring (Z-Score)
```python
def check_row_count(source: str, current_count: int,
expected: float, stddev: float,
threshold_pct: float = 0.25) -> dict:
"""Detect row count anomalies using rolling baseline."""
z_score = abs(current_count - expected) / max(stddev, 1)
deviation_pct = abs(current_count - expected) / max(expected, 1)
return {
"source": source,
"current": current_count,
"expected": round(expected),
"deviation_pct": round(deviation_pct, 4),
"z_score": round(z_score, 2),
…Read the whole file at its exact version.
How to install
mdr add fabioc-aloha/alex_skill_mall/data-quality-monitoring@sha256:34dbee358254432aThe line at the top of this page pins the label git:20260728.80a7ab6, 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_z6l76kp5dnvrayzs)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 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 (6857 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
fabioc-aloha/alex_skill_mall · 5 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_z6l76kp5dnvrayzs GET https://markdownregistry.com/api/v1/resolve?ref=fabioc-aloha/alex_skill_mall/data-quality-monitoring GET https://markdownregistry.com/api/v1/blob/34dbee358254432ab13432b1eeb15ccfc50ee596c2aa1fc21db2c18fdf84241e
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.