model-drift-management skillA
model-drift-management is agent-read markdown (skill) from jnpiyush/agentx: Detect, monitor, and manage model drift in production GenAI and ML systems. Use when monitoring LLM output quality, detecting prompt regression, managing model version changes, implementing drift detection for traditional ML, or establishing model governance policies..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Model Drift Management > **Purpose**: Detect model performance degradation in GenAI agents and traditional ML systems. Covers LLM output quality monitoring, prompt regression detection, model version change management, and classical statistical drift detection. --- ## When to Use This Skill - Monitoring LLM output quality in production (hallucination rate, format compliance, coherence) - Detecting prompt regression after prompt edits or model version changes - Managing model version transitions (provider silent updates, planned migrations) - Implementing LLM-as-judge evaluation pipelines for continuous quality monitoring - Monitoring model performance in production (accuracy decay, prediction shifts) - Implementing drift detection pipelines (concept drift, prior probability shift) - Designing change management workflows for model retraining and replacement - Building model governance and versioning policies - Setting up alerting thresholds for model degradation ## Prerequisites - A deployed GenAI agent or ML model with inference logging - OpenTelemetry tracing enabled (for GenAI) or metric pipeline (for ML) - Evaluation baseline saved from last known-good model version …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/model-drift-management@v2.0.0mdr add jnpiyush/agentx/model-drift-management@sha256:2450e5d2efa9d727Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_zoadhhbg4hiuihsu)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-09-15 | f17c505 | 18,733 B | A | view · diff |
| v2.0.0 | 2026-04-22 | 7f3a017 | 18,731 B | A | view · diff |
| v2.0.0 | 2026-03-07 | 831cf62 | 18,718 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 969f335 | 9,315 B | A | view · diff |
| v1.0.0 | 2026-03-01 | ac76f34 | 7,457 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 (18733 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 · 16 stars · license Apache-2.0 · pushed 2026-09-21 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_zoadhhbg4hiuihsu GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/model-drift-management GET https://markdownregistry.com/api/v1/blob/2450e5d2efa9d727180b59667d8baddf2bcf2cd8e4b4336ea61a4ebcb36f3018
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