data-drift-strategy SKILL.md skillA
data-drift-strategy from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jnpiyush/agentx/data-drift-strategy@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
- jnpiyush/agentx
- Path
.github/skills/ai-systems/data-drift-strategy/SKILL.md- Versions recorded
- 5
- Latest version
- v2.0.0, committed Sep 15, 2026
- First version recorded
- Mar 1, 2026
- Size
- 17,975 bytes
- Repository stars
- 19
- License
- Apache-2.0
Design strategies to detect, monitor, and remediate data drift in GenAI applications and ML pipelines. Use when monitoring LLM input patterns, detecting query distribution shifts, tracking embedding drift, building RAG retrieval quality monitoring, or establishing data governance for model inputs.
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 Drift Strategy > **Purpose**: Detect and manage changes in input data distributions that degrade GenAI agent quality and ML pipeline reliability. Covers LLM input monitoring, embedding drift, RAG retrieval degradation, and classical feature distribution tracking. --- ## When to Use This Skill - Monitoring LLM input patterns in production (query length, topic distribution, language mix) - Detecting embedding drift (vector space distribution shifts in RAG systems) - Tracking RAG retrieval quality degradation (relevance scores, retrieval hit rates) - Identifying user intent drift (new topics, out-of-scope queries, adversarial inputs) - Monitoring input feature distributions in production ML systems - Building data quality validation gates in ETL/ML pipelines - Detecting schema drift (new columns, type changes, missing fields) - Designing retraining triggers based on data distribution shifts - Establishing data governance policies for model training data ## Prerequisites - Reference dataset (baseline distribution from training data or initial deployment) - Data pipeline with logging/profiling capabilities …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/data-drift-strategy@sha256:672a412b9ad97f93The 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_ljdeu5ypkshd5az7)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 1, 2026 and Sep 15, 2026, about one every 49 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-09-15 | f17c505 | 17,975 B | A | view · diff |
| v2.0.0 | 2026-03-08 | 65586be | 17,973 B | A | view · diff |
| v2.0.0 | 2026-03-07 | 831cf62 | 20,094 B | A | view · diff |
| v1.0.0 | 2026-03-04 | 848caee | 11,020 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 969f335 | 11,029 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 (17975 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
jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_ljdeu5ypkshd5az7 GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/data-drift-strategy GET https://markdownregistry.com/api/v1/blob/672a412b9ad97f93569b09945e1864b57ba2808fd8f20f09df329df99115f313
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.