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Aliyun Arms Query

Community
cinience
aliyun-arms-query

Use when querying distributed traces or application metrics in Alibaba Cloud ARMS (Application Real-Time Monitoring Service). Use for trace search by service/duration/tags, trace detail and method stack retrieval, application listing, and performance metrics queries.

Overview

Publishercinience
Repositoryalicloud-skills
Skill namealiyun-arms-query
Stars
397
Forks
34
Bundled files
9
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cinience on GitHub. Read the source before you install it.

Installation

Install the Aliyun Arms Query AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cinience/alicloud-skills/tree/main/skills/observability/arms/aliyun-arms-query
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cinience/alicloud-skills.git /tmp/alicloud-skills
mkdir -p .claude/skills
cp -r /tmp/alicloud-skills/skills/observability/arms/aliyun-arms-query .claude/skills/aliyun-arms-query
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aliyun Arms Query in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aliyun Arms Query on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aliyun Arms Query is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Category: service

ARMS Trace & Metrics Query

Query distributed traces and application performance metrics via ARMS Python SDK.

Prerequisites

  • Install SDK (virtual environment recommended):
bash
python3 -m venv .venv
. .venv/bin/activate
python -m pip install -U alibabacloud_arms20190808 alibabacloud_tea_openapi
  • Configure environment variables:
    • ALIBABACLOUD_ACCESS_KEY_ID
    • ALIBABACLOUD_ACCESS_KEY_SECRET
    • ARMS_REGION_ID (e.g. cn-hangzhou)

Core Concepts

  • Trace query: Search traces by service name, span name, duration, tags, error status. Time range in epoch milliseconds. Supports PID and exclusion filters.
  • Trace detail: Retrieve full span tree for a single TraceID. Supports pagination for large traces.
  • Method stack: Retrieve the method-level call stack for a specific span (requires TraceID, RpcID, and PID).
  • Metrics query: Query predefined metric tables (e.g. appstat.incall) with dimensions, measures, and filters. Requires application PID. Supports ordering.
  • Application PID: Unique app identifier in format xxx@regionId, obtained via ListTraceApps.

Quickstart — Search Traces (Python SDK)

python
import os, time
from alibabacloud_arms20190808.client import Client
from alibabacloud_arms20190808 import models
from alibabacloud_tea_openapi.models import Config

config = Config(
    access_key_id=os.environ["ALIBABACLOUD_ACCESS_KEY_ID"],
    access_key_secret=os.environ["ALIBABACLOUD_ACCESS_KEY_SECRET"],
    region_id=os.environ.get("ARMS_REGION_ID", "cn-hangzhou"),
)
config.endpoint = f'arms.{config.region_id}.aliyuncs.com'
client = Client(config)

end_ms = int(time.time() * 1000)
start_ms = end_ms - 15 * 60 * 1000

request = models.SearchTracesByPageRequest(
    region_id=config.region_id,
    start_time=start_ms,
    end_time=end_ms,
    service_name="my-app",
    min_duration=500,
    page_number=1,
    page_size=20,
)
response = client.search_traces_by_page(request)
for trace in response.body.page_bean.trace_infos:
    print(f"{trace.trace_id}  {trace.duration}ms  {trace.service_name}")

Quickstart — Query Metrics (Python SDK)

python
request = models.QueryMetricByPageRequest(
    region_id=config.region_id,
    metric="appstat.incall",
    start_time=start_ms,
    end_time=end_ms,
    interval_in_sec=60000,
    measures=["rt", "count", "error"],
    dimensions=["rpc"],
    filters=[models.QueryMetricByPageRequestFilters(key="pid", value="xxx@cn-hangzhou")],
    current_page=1,
    page_size=10,
)
response = client.query_metric_by_page(request)
for item in response.body.data.items:
    print(item)

Script Catalog

Search traces

bash
python skills/observability/arms/aliyun-arms-query/scripts/search_traces.py \
  --service-name my-app \
  --last-minutes 15

Optional args: --region, --operation-name, --min-duration, --service-ip, --pid, --error-only, --tag KEY=VALUE (repeatable), --exclusion-filter KEY=VALUE (repeatable), --page, --page-size, --reverse.

Get trace detail

bash
python skills/observability/arms/aliyun-arms-query/scripts/get_trace_detail.py \
  --trace-id 1c34ffee16xxxxxxxx

Optional args: --region, --start, --end, --page, --page-size.

Query metrics

bash
python skills/observability/arms/aliyun-arms-query/scripts/query_metrics.py \
  --metric appstat.incall \
  --pid "xxx@cn-hangzhou" \
  --last-minutes 30

Optional args: --region, --measures (comma-separated), --dimensions (comma-separated), --interval, --page, --page-size, --order-by, --order ASC|DESC.

List traced applications

bash
python skills/observability/arms/aliyun-arms-query/scripts/list_trace_apps.py

Optional args: --region, --app-type TRACE|EBPF, --resource-group-id.

Get span method stack

bash
python skills/observability/arms/aliyun-arms-query/scripts/get_stack.py \
  --trace-id 1c34ffee16xxxxxxxx \
  --rpc-id 0.1 \
  --pid "xxx@cn-hangzhou"

Optional args: --region, --span-id, --start, --end.

Common Metric Names

MetricDescription
appstat.incallInbound call stats (RT, count, error) per endpoint
appstat.outcallOutbound call stats (HTTP, RPC, DB)
appstat.sqlSQL execution stats
appstat.exceptionException stats
appstat.hostHost-level metrics (CPU, memory, load)

Common measures: rt (response time), count (request count), error (error count). Common dimensions: rpc (endpoint), type (call type), exceptionClass.

Workflow

  1. List traced apps with list_trace_apps.py to obtain PID.
  2. Search traces with time range, service name, and optional filters via search_traces.py.
  3. Get detail for a specific trace using its TraceID via get_trace_detail.py.
  4. Inspect method stack for a slow or errored span via get_stack.py (requires TraceID, RpcID, PID).
  5. Query aggregated metrics using PID, metric name, and desired measures/dimensions via query_metrics.py.

AccessKey Priority

  1. Environment variables: ALIBABACLOUD_ACCESS_KEY_ID / ALIBABACLOUD_ACCESS_KEY_SECRET
  2. Shared credentials file: ~/.alibabacloud/credentials (profile default)

API Discovery

  • Product code: ARMS
  • API version: 2019-08-08
  • Metadata: https://api.aliyun.com/meta/v1/products/ARMS/versions/2019-08-08/api-docs.json

Validation

bash
mkdir -p output/aliyun-arms-query
for f in skills/observability/arms/aliyun-arms-query/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-arms-query/validate.txt

Pass criteria: command exits 0 and output/aliyun-arms-query/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-arms-query/.
  • Include key parameters (region, PID, TraceID, time range) in evidence files for reproducibility.

References

  • API reference: references/api-reference.md
  • Source list: references/sources.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aliyun Arms Query AI skill do?

Use when querying distributed traces or application metrics in Alibaba Cloud ARMS (Application Real-Time Monitoring Service). Use for trace search by service/duration/tags, trace detail and method stack retrieval, application listing, and performance metrics queries.

Why use Aliyun Arms Query on TypingMind?

Because you install it once and use it with any model. Aliyun Arms Query is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aliyun Arms Query in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cinience/alicloud-skills/tree/main/skills/observability/arms/aliyun-arms-query. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aliyun Arms Query?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aliyun Arms Query?

As many as you like. As long as a model supports skills, you can use Aliyun Arms Query with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aliyun Arms Query AI skill free?

Yes. It is published on GitHub by cinience under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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