domino-model-monitoring SKILL.md skillA
domino-model-monitoring from dominodatalab/domino-ai-plugin is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dominodatalab/domino-ai-plugin/domino-model-monitoring@git:20261014.681e9c1Pins git:20261014.681e9c1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- dominodatalab/domino-ai-plugin
- Path
skills/domino-model-monitoring/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261014.681e9c1, committed Oct 14, 2026
- Size
- 7,961 bytes
- Repository stars
- 3
- License
- MIT
Monitor production models in Domino for data drift and model quality. Covers the two workflows (integrated monitoring for Domino endpoints with prediction capture, and Model Monitor for models served elsewhere), the DataCaptureClient prediction-capture library, registering training sets, prediction data and ground truth with the Monitoring Config JSON, drift tests and thresholds, scheduled checks and notifications, where captured predictions live, remediation, and the Model Monitoring REST API…
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
# Domino model monitoring Applies to Domino 6.3 and Domino Cloud. Serving metrics (CPU, latency, status codes) are in `domino-model-endpoints`; this skill is drift and quality. Reference files: [PREDICTION-CAPTURE.md](./PREDICTION-CAPTURE.md) (endpoint instrumentation, captured data, remediation) and [MONITORING-API.md](./MONITORING-API.md) (routes, config JSON, custom metrics). ## Two workflows | Model runs as | Workflow | Data handling | |---------------|----------|---------------| | Domino endpoint | Integrated endpoint monitoring | Domino captures predictions into a project Dataset; you register a TrainingSet and, optionally, ground truth | | App, Launcher, Job, or outside Domino | Model Monitor | You connect a data source (S3, generic S3, Azure Blob or Data Lake, GCS, HDFS, NFS, Snowflake) and register training, prediction and ground-truth files with a Monitoring Config JSON | …
Read the whole file at its exact version.
How to install
mdr add dominodatalab/domino-ai-plugin/domino-model-monitoring@sha256:8a95502eb588f0ffThe line at the top of this page pins the label git:20261014.681e9c1, 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_txxrtagw5uqkkfko)
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Versions
The registry has recorded 1 version of this file, committed on Oct 14, 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 (7961 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
dominodatalab/domino-ai-plugin · 3 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_txxrtagw5uqkkfko GET https://markdownregistry.com/api/v1/resolve?ref=dominodatalab/domino-ai-plugin/domino-model-monitoring GET https://markdownregistry.com/api/v1/blob/8a95502eb588f0ffa384b27ee41453d8ff3283b520ae7c7bee6a92effc94a894
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.