huawei-cloud-agentarts-otel-ingestion SKILL.md skillA

huawei-cloud-agentarts-otel-ingestion from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-agentarts-otel-ingestion@git:20260924.742ec33

Pins git:20260924.742ec33 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
huaweicloud/huaweicloud-skills
Path
skills/ai/agentarts/huawei-cloud-agentarts-otel-ingestion/SKILL.md
Versions recorded
1
Latest version
git:20260924.742ec33, committed Sep 24, 2026
Size
16,048 bytes
Repository stars
59
License
MIT

OpenTelemetry ingestion skill for Huawei Cloud AgentArts observability platform. Provides OTel telemetry data (trace/metrics/logs) ingestion into AgentArts agent-ops, AI Agent observation with gen_ai semantic conventions, auto-configuration for Java/Python/Node.js/Go applications, and ingestion diagnostics and verification. Covers APM deliverConfig forwarding (Path A) and OTLP direct connection (Path B). Triggers include: "AgentArts OTel", "AgentArts observability", "AI agent tracing…

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

# Huawei Cloud AgentArts OpenTelemetry Ingestion

## Overview

This skill enables OpenTelemetry (OTel) telemetry data ingestion into Huawei Cloud
AgentArts observability platform (agent-ops). It covers four functional areas:

1. **OTel Telemetry Ingestion** — Route trace/metrics/logs from applications to
   agent-ops via APM deliverConfig forwarding (Path A, recommended) or OTLP direct
   connection (Path B, verification only).
2. **AI Agent Observation** — Instrument AI/LLM applications with OpenTelemetry GenAI
   semantic conventions (`gen_ai.*` spans, token usage metrics, model call chains).
3. **Auto-Configuration** — Detect application language/framework and generate
   ready-to-use OTel SDK/Collector configuration.
4. **Ingestion Diagnostics** — Verify data arrival via agent-ops observation APIs
   (trace/session/metric/log queries).

### Architecture

```
Application (OTel SDK/Collector)
  │
  ├── Path A (Recommended): OTLP → APM → deliverConfig → Kafka → agent-ops
  │
  └── Path B (Verification): OTLP → Collector → agent-ops (if OTLP receiver available)
```

### Data Flow

See `references/dataflow-diagram.md` for the Mermaid diagram.

## Prerequisites
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-agentarts-otel-ingestion@sha256:4fa82377ac921614

The line at the top of this page pins the label git:20260924.742ec33, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_cin6eub627jymwxv.svg)](https://markdownregistry.com/a/art_cin6eub627jymwxv)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 24, 2026.

versioncommittedcommitsizeaudit
git:20260924.742ec33 latest2026-09-24 742ec33 16,048 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16048 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

GitHub

huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-10-22 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_cin6eub627jymwxv
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-agentarts-otel-ingestion
GET https://markdownregistry.com/api/v1/blob/4fa82377ac921614970f8f2c8b050d18519dc16c36ca89c0a5cf011ac040e578

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.

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