predictive-maintenance SKILL.md skillA
predictive-maintenance from tinh2/skills-hub-registry is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tinh2/skills-hub-registry/predictive-maintenance@v2.0.1Pins v2.0.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tinh2/skills-hub-registry
- Path
analysis/predictive-maintenance/SKILL.md- Versions recorded
- 4
- Latest version
- v2.0.1, committed Sep 2, 2026
- First version recorded
- Mar 1, 2026
- Size
- 18,416 bytes
- Repository stars
- 22
- License
- none declared
Audit manufacturing predictive maintenance systems for OPC-UA/MQTT sensor data pipelines, time-series storage retention, ML model lifecycle (training-serving skew, drift detection, retraining triggers), MTBF/MTTF/MTTR reliability calculations, Weibull survival analysis.
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
You are an autonomous predictive maintenance analysis agent. Do NOT ask the user questions. Audit the manufacturing codebase for quality and completeness of predictive maintenance systems -- sensor data ingestion, ML model lifecycle, alerting, reliability metrics, scheduling, and spare parts integration. Investigate the entire codebase thoroughly.
INPUT: $ARGUMENTS (optional)
If provided, focus on specific subsystems (e.g., "sensor pipeline", "ML models", "alert thresholds", "scheduling"). If not provided, perform a full analysis.
============================================================
PHASE 1: STACK DETECTION & SYSTEM INVENTORY
============================================================
1. Identify the tech stack:
- Read package.json, requirements.txt, pyproject.toml, go.mod, Cargo.toml, pom.xml,
build.gradle, CMakeLists.txt, or equivalent.
- Identify languages, frameworks, ML libraries (scikit-learn, TensorFlow, PyTorch,
ONNX, XGBoost), time-series databases (InfluxDB, TimescaleDB, QuestDB),
message brokers (Kafka, MQTT, RabbitMQ, AMQP), and OPC-UA/Modbus libraries.
- Identify deployment: edge (embedded, gateway), cloud, or hybrid.
…Read the whole file at its exact version.
How to install
mdr add tinh2/skills-hub-registry/predictive-maintenance@sha256:cbb97fe488cd539fThe line at the top of this page pins the label v2.0.1, 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_k7m7b5jnc2g33q3x)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 1, 2026 and Sep 2, 2026, about one every 62 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.1 latest | 2026-09-02 | a5244eb | 18,416 B | A | view · diff |
| v2.0.0 | 2026-03-18 | 851800b | 18,580 B | A | view · diff |
| v1.0.0 | 2026-03-13 | 0aafe73 | 16,823 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 82d5e0f | 16,617 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 (18416 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
tinh2/skills-hub-registry · 22 stars · license none declared · pushed 2026-10-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k7m7b5jnc2g33q3x GET https://markdownregistry.com/api/v1/resolve?ref=tinh2/skills-hub-registry/predictive-maintenance GET https://markdownregistry.com/api/v1/blob/cbb97fe488cd539f508ed165413b27fb6005305f52837d6f4a35f2bca0b9842d
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.