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Azure Monitor Ingestion SDK for Java · microsoft | DecimalAI

devopsby microsoft

Azure Monitor Ingestion SDK for Java

microsoft/azure-monitor-ingestion-java

Source microsoft/skills ↗License MIT

Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). Triggers: "LogsIngestionClient java", "azure monitor ingestion java", "custom logs java", "DCR java", "data collection rule java".

SkillScore100Maintained

Automatic

DevOps & SRE pack

Last verified 8/10/2026

What it changes

Passed 22 of 22 test cases with the skill, and 15 of 22 without it.

Without skill68%

With skill100%

Checks it passed that the model alone missed

The environment variable for stream identification is STREAM_NAME
The environment variable for endpoint location is DATA_COLLECTION_ENDPOINT
The environment variable name AZURE_TOKEN_CREDENTIALS is explicitly referenced

and 11 more in the full report

7 fixed15 passed either way0 still failing0 broke

Pass-rate lift: +32 pp
Tokens: +42%
Agent turns: 0%
Response time: -42%

Model gemini-3.6-flashMeasured 8/10/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/microsoft-azure-monitor-ingestion-java/SKILL.md https://app.decimal.ai/s/microsoft-azure-monitor-ingestion-java/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add microsoft-azure-monitor-ingestion-java, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/microsoft-azure-monitor-ingestion-java/ and pins it in .decimal/skills.lock

decimalai skills add microsoft-azure-monitor-ingestion-java

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/microsoft-azure-monitor-ingestion-java/SKILL.md https://app.decimal.ai/s/microsoft-azure-monitor-ingestion-java/SKILL.md

Raw file: /s/microsoft-azure-monitor-ingestion-java/SKILL.md ↗ · machine-readable summary at /s/microsoft-azure-monitor-ingestion-java.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

What standard environment variable names should be configured in our container environment for Azure Monitor log upload routing, stream identification, and data collection endpoints?

What was checked, without and with the skill
Checked	Without skill	With skill
The environment variable for endpoint location is DATA_COLLECTION_ENDPOINT	Missed	Passed
The environment variable for routing rule identification is DATA_COLLECTION_RULE_ID	Missed	Passed
The environment variable for stream identification is STREAM_NAME	Missed	Passed

case-13 · gemini-3.6-flash · 8/10/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md231 lines2 files

Azure Monitor Ingestion SDK for Java

Client library for sending custom logs to Azure Monitor using the Logs Ingestion API via Data Collection Rules.

Installation

<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-monitor-ingestion</artifactId>
    <version>1.2.11</version>
</dependency>

Or use Azure SDK BOM:

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>com.azure</groupId>
            <artifactId>azure-sdk-bom</artifactId>
            <version>{bom_version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

<dependencies>
    <dependency>
        <groupId>com.azure</groupId>
        <artifactId>azure-monitor-ingestion</artifactId>
    </dependency>
</dependencies>

Prerequisites

Data Collection Endpoint (DCE)

Track record

Benchmark

22 / 22

test cases passed, vs 15 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

microsoft / skills

.github/plugins/azure-sdk-java/skills/azure-monitor-ingestion-java/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1Bundled 1 file

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See it in action

What's inside

Azure Monitor Ingestion SDK for Java

Installation

Prerequisites

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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