model-drift-management SKILL.md skillA
model-drift-management 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/model-drift-management@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/model-drift-management/SKILL.md- Versions recorded
- 6
- Latest version
- v2.0.0, committed Sep 26, 2026
- First version recorded
- Mar 1, 2026
- Size
- 18,708 bytes
- Repository stars
- 19
- License
- Apache-2.0
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.
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
# 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@sha256:830e9359f65eff61The 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_zoadhhbg4hiuihsu)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Mar 1, 2026 and Sep 26, 2026, about one every 42 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-09-26 | 3d88bf1 | 18,708 B | A | view · diff |
| v2.0.0 | 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 (18708 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_zoadhhbg4hiuihsu GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/model-drift-management GET https://markdownregistry.com/api/v1/blob/830e9359f65eff6159f517d852c05e35fa6e82d963694310057e311f06bee237
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.