huawei-cloud-agentarts-obs-diagnosis SKILL.md skillA

huawei-cloud-agentarts-obs-diagnosis 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-obs-diagnosis@git:20260930.dabbbec

Pins git:20260930.dabbbec 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-obs-diagnosis/SKILL.md
Versions recorded
1
Latest version
git:20260930.dabbbec, committed Sep 30, 2026
Size
12,200 bytes
Repository stars
59
License
MIT

Observability no-data diagnosis skill for Huawei Cloud AgentArts agent-ops platform. Systematically diagnoses missing metrics, logs, and traces/sessions in agent-ops by checking subscription metadata, data pipeline (APM/AOM/LTS), query parameters, and authentication. Generates root-cause analysis and fix recommendations. Triggers include: "AgentArts no data", "metrics no data", "logs no data", "traces no data", "session no data", "obs diagnosis", "可观测诊断", "无数据诊断", "查不到指标", "查不到日志", "调用链无数据…

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 Observability No-Data Diagnosis

## Overview

This skill systematically diagnoses **missing metrics, logs, and traces/sessions** in
Huawei Cloud AgentArts agent-ops platform. It follows a three-phase diagnostic flow:
subscription metadata check → data pipeline troubleshooting → query parameter validation,
covering three data sources: APM (traces/metrics), AOM (metrics), and LTS (logs).

### Architecture

```
Application (OTel SDK/Collector)
  │
  ├── Traces:  OTEL SDK → APM (OTLP) → deliverConfig → Kafka → agent-ops
  ├── Metrics: Application → AOM (Prometheus) → agent-ops
  └── Logs:    Application → LTS → agent-ops (requires logGroup/logStream metadata)
```

### Data Sources and Metadata

| Data Type | Source | Required Metadata |
|-----------|--------|-------------------|
| Traces/Sessions | APM | `apmBusiness`, `apmToken` |
| Metrics | AOM | `promInstance`, `aomAccessCode` |
| Logs | LTS | `logGroup`, `logStream` |

## Prerequisites

### 1. Huawei Cloud Credentials

```bash
export HUAWEI_ACCESS_KEY="<your-access-key-id>"
read -rs HUAWEI_SECRET_KEY; export HUAWEI_SECRET_KEY
export HUAWEI_REGION="cn-north-4"
```

### 2. hcloud CLI (KooCLI)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-agentarts-obs-diagnosis@sha256:f42c705feb35513b

The line at the top of this page pins the label git:20260930.dabbbec, 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_txmnhuuuuumrasav.svg)](https://markdownregistry.com/a/art_txmnhuuuuumrasav)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 30, 2026.

versioncommittedcommitsizeaudit
git:20260930.dabbbec latest2026-09-30 dabbbec 12,200 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 (12200 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_txmnhuuuuumrasav
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-agentarts-obs-diagnosis
GET https://markdownregistry.com/api/v1/blob/f42c705feb35513bbc936faa7605c946ae8ae61b816a3b6be72b7ddf614b3829

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.

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