Azure Monitor Opentelemetry Exporter Py
aiskillstore/marketplace
Azure Monitor OpenTelemetry Exporter for Python. An agent skill from aiskillstore/marketplace.
Azure Monitor OpenTelemetry Exporter for Python. An agent skill from microsoft/skills.
$ npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/skills azure-monitor-opentelemetry-exporter-py --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py .claude/skills/azure-monitor-opentelemetry-exporter-py && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-monitor-opentelemetry-exporter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py into .claude/skills/azure-monitor-opentelemetry-exporter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-monitor-opentelemetry-exporter-py", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-pyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/skills azure-monitor-opentelemetry-exporter-py --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py .agents/skills/azure-monitor-opentelemetry-exporter-py && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-monitor-opentelemetry-exporter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py into .agents/skills/azure-monitor-opentelemetry-exporter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-monitor-opentelemetry-exporter-py", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/skills azure-monitor-opentelemetry-exporter-py --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py .cursor/skills/azure-monitor-opentelemetry-exporter-py && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-monitor-opentelemetry-exporter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py into .cursor/skills/azure-monitor-opentelemetry-exporter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-monitor-opentelemetry-exporter-py", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microsoft/skills.git --path .github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/skills azure-monitor-opentelemetry-exporter-py --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py .gemini/skills/azure-monitor-opentelemetry-exporter-py && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-monitor-opentelemetry-exporter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py into .gemini/skills/azure-monitor-opentelemetry-exporter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-monitor-opentelemetry-exporter-py", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microsoft/skills azure-monitor-opentelemetry-exporter-pyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py .github/skills/azure-monitor-opentelemetry-exporter-py && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-monitor-opentelemetry-exporter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py into .github/skills/azure-monitor-opentelemetry-exporter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-monitor-opentelemetry-exporter-py", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/skills azure-monitor-opentelemetry-exporter-py --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py .opencode/skills/azure-monitor-opentelemetry-exporter-py && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-monitor-opentelemetry-exporter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py into .opencode/skills/azure-monitor-opentelemetry-exporter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-monitor-opentelemetry-exporter-py", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azure-monitor-opentelemetry-exporter-pyAzure Monitor OpenTelemetry Exporter for Python. An agent skill from microsoft/skills.
Azure Monitor Opentelemetry Exporter Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights. Triggers: "azure-monitor-opentelemetry-exporter", "AzureMonitorTraceExporter", "AzureMonitorMetricExporter", "AzureMonitorLogExporter".
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/capabilities.md` and `references/non-hero-scenarios.md`).
It sits in DevOps & Cloud, covering Observability. It works with Azure Monitor, OpenTelemetry, Python and Microsoft Azure. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d5741a1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
xxx.in.applicationinsights.azure.comlearn.microsoft.comxxx.in.applicationinsights.azure.usFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AZURE_TOKEN_CREDENTIALSFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azure Monitor Opentelemetry Exporter Py loads about 2.3k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 326 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from microsoft/skills at commit d5741a1, republished under its MIT licence (© microsoft). 326 words, ~2,268 tokens.
.claude/skills/azure-monitor-opentelemetry-exporter-py/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Low-level exporter for sending OpenTelemetry traces, metrics, and logs to Application Insights.
pip install azure-monitor-opentelemetry-exporterAPPLICATIONINSIGHTS_CONNECTION_STRING=InstrumentationKey=xxx;IngestionEndpoint=https://xxx.in.applicationinsights.azure.com/ # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production🔑 Two rules apply to every code sample below:
- Prefer
DefaultAzureCredentialfor ingestion auth when supported.APPLICATIONINSIGHTS_CONNECTION_STRINGidentifies the target Application Insights resource, andcredential=DefaultAzureCredential(...)provides Microsoft Entra authentication.
- Local dev:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- Providers are not context managers. Flush and shut down telemetry providers explicitly at process exit so buffers are exported deterministically.
Snippets may abbreviate this setup, but production code should always follow both rules.
| Scenario | Use |
|---|---|
| Quick setup, auto-instrumentation | azure-monitor-opentelemetry (distro) |
| Custom OpenTelemetry pipeline | azure-monitor-opentelemetry-exporter (this) |
| Fine-grained control over telemetry | azure-monitor-opentelemetry-exporter (this) |
from azure.identity import DefaultAzureCredential
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
# Reads APPLICATIONINSIGHTS_CONNECTION_STRING from env to identify the resource;
# DefaultAzureCredential authenticates ingestion via Microsoft Entra ID.
exporter = AzureMonitorTraceExporter(
credential=DefaultAzureCredential(),
)
# Configure tracer provider
trace.set_tracer_provider(TracerProvider())
trace.get_tracer_provider().add_span_processor(
BatchSpanProcessor(exporter)
)
# Use tracer
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span("my-span"):
print("Hello, World!")from azure.identity import DefaultAzureCredential
from opentelemetry import metrics
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
from azure.monitor.opentelemetry.exporter import AzureMonitorMetricExporter
# Reads APPLICATIONINSIGHTS_CONNECTION_STRING from env; AAD-authenticated ingestion via DefaultAzureCredential.
exporter = AzureMonitorMetricExporter(
credential=DefaultAzureCredential(),
)
# Configure meter provider
reader = PeriodicExportingMetricReader(exporter, export_interval_millis=60000)
metrics.set_meter_provider(MeterProvider(metric_readers=[reader]))
# Use meter
meter = metrics.get_meter(__name__)
counter = meter.create_counter("requests_total")
counter.add(1, {"route": "/api/users"})import logging
from azure.identity import DefaultAzureCredential
from opentelemetry._logs import set_logger_provider
from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
from azure.monitor.opentelemetry.exporter import AzureMonitorLogExporter
# Reads APPLICATIONINSIGHTS_CONNECTION_STRING from env; AAD-authenticated ingestion via DefaultAzureCredential.
exporter = AzureMonitorLogExporter(
credential=DefaultAzureCredential(),
)
# Configure logger provider
logger_provider = LoggerProvider()
logger_provider.add_log_record_processor(BatchLogRecordProcessor(exporter))
set_logger_provider(logger_provider)
# Add handler to Python logging
handler = LoggingHandler(level=logging.INFO, logger_provider=logger_provider)
logging.getLogger().addHandler(handler)
# Use logging
logger = logging.getLogger(__name__)
logger.info("This will be sent to Application Insights")Exporters read APPLICATIONINSIGHTS_CONNECTION_STRING automatically:
from azure.identity import DefaultAzureCredential
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
# Connection string from environment; AAD-authenticated ingestion via DefaultAzureCredential.
exporter = AzureMonitorTraceExporter(
credential=DefaultAzureCredential(),
)from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
exporter = AzureMonitorTraceExporter(
credential=credential
)Use ApplicationInsightsSampler for consistent sampling:
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.sampling import ParentBasedTraceIdRatio
from azure.monitor.opentelemetry.exporter import ApplicationInsightsSampler
# Sample 10% of traces
sampler = ApplicationInsightsSampler(sampling_ratio=0.1)
trace.set_tracer_provider(TracerProvider(sampler=sampler))Configure offline storage for retry:
from azure.identity import DefaultAzureCredential
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
exporter = AzureMonitorTraceExporter(
credential=DefaultAzureCredential(),
storage_directory="/path/to/storage", # Custom storage path
disable_offline_storage=False # Enable retry (default)
)exporter = AzureMonitorTraceExporter(
credential=DefaultAzureCredential(),
disable_offline_storage=True # No retry on failure
)from azure.identity import AzureAuthorityHosts, DefaultAzureCredential
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
# Azure Government
credential = DefaultAzureCredential(authority=AzureAuthorityHosts.AZURE_GOVERNMENT)
exporter = AzureMonitorTraceExporter(
connection_string="InstrumentationKey=xxx;IngestionEndpoint=https://xxx.in.applicationinsights.azure.us/",
credential=credential
)| Exporter | Telemetry Type | Application Insights Table |
|---|---|---|
AzureMonitorTraceExporter | Traces/Spans | requests, dependencies, exceptions |
AzureMonitorMetricExporter | Metrics | customMetrics, performanceCounters |
AzureMonitorLogExporter | Logs | traces, customEvents |
| Parameter | Description | Default |
|---|---|---|
connection_string | Application Insights connection string | From env var |
credential | Azure credential for AAD auth | None |
disable_offline_storage | Disable retry storage | False |
storage_directory | Custom storage path | Temp directory |
azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module.provider.shutdown() / force_flush() at process exit to flush telemetry — providers are not context managers.azure-monitor-opentelemetry) unless you need custom pipelines| File | Contents |
|---|---|
| references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. |
| references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in .github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py of microsoft/skills.
Open the folder on GitHubat commit d5741a1
Azure Monitor Opentelemetry Exporter Py next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure Monitor Opentelemetry Exporter Py this skillmicrosoft/skills | 3.1k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Azure Monitor Opentelemetry Exporter Pyaiskillstore/marketplace | 433 | 4 repos | ~1.6k | Automated safety check: Pass | None | |
| Azure Microsoft OpentelemetryMicrosoftDocs/Agent-Skills | 776 | — | ~555 | Automated safety check: Pass | CC-BY-4.0 | |
| Agent Kill Switchvivekchand/clawmetry | 426 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Clawmetry Selfcheckvivekchand/clawmetry | 426 | — | ~515 | Automated safety check: Pass | MIT | |
| Logfire Instrumentationbasicmachines-co/basic-memory | 4.1k | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 |
aiskillstore/marketplace
Azure Monitor OpenTelemetry Exporter for Python. An agent skill from aiskillstore/marketplace.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Microsoft Opentelemetry development including configuration.
vivekchand/clawmetry
Give the human an off switch and a cost meter for the coding agents on this machine, using ClawMetry.
vivekchand/clawmetry
Read your own agent telemetry from ClawMetry (waste, progress, cost) and act on it before finishing a task.
basicmachines-co/basic-memory
Adds Pydantic Logfire tracing, logging and metrics to Python, JavaScript or TypeScript and Rust projects, with the correct setup order and library extras.
vivekchand/clawmetry
Real-time observability for OpenClaw agents — local dashboard + optional encrypted cloud sync.
microsoft/skills
Covers producer, consumer, and checkpoint-store setup for Azure Event Hubs streaming in Python, with Entra ID auth and partition targeting.
microsoft/skills
Builds podcast-style audio narration from text with Azure OpenAI's GPT Realtime Mini over WebSocket, from a Python FastAPI backend to a React player.
microsoft/skills
Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations.
microsoft/skills
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
microsoft/skills
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services.
Categories
Azure Monitor OpenTelemetry Exporter for Python. An agent skill from microsoft/skills. Azure Monitor Opentelemetry Exporter Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Monitor OpenTelemetry Exporter for Python.
Azure Monitor Opentelemetry Exporter Py fits situations like: low-level OpenTelemetry export to Application Insights; tasks that involve Observability.
Run `npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py in microsoft/skills) into .claude/skills/azure-monitor-opentelemetry-exporter-py in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-exporter-py in microsoft/skills) into .agents/skills/azure-monitor-opentelemetry-exporter-py in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/skills --skill azure-monitor-opentelemetry-exporter-py -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-monitor-opentelemetry-exporter-py, .gemini/skills/azure-monitor-opentelemetry-exporter-py, .github/skills/azure-monitor-opentelemetry-exporter-py and .opencode/skills/azure-monitor-opentelemetry-exporter-py in your project.
Going by SKILL.md and its folder, Azure Monitor Opentelemetry Exporter Py needs the command-line tools its instructions call (pip) and credentials named AZURE_TOKEN_CREDENTIALS. Our summary lists: Python 3.
SKILL.md names 3 domains. In commands or code: xxx.in.applicationinsights.azure.com, learn.microsoft.com and xxx.in.applicationinsights.azure.us; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Azure Monitor Opentelemetry Exporter Py is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure Monitor Opentelemetry Exporter Py: Azure Monitor Opentelemetry Exporter Py (aiskillstore/marketplace, 433 stars), Azure Microsoft Opentelemetry (MicrosoftDocs/Agent-Skills, 776 stars), Agent Kill Switch (vivekchand/clawmetry, 426 stars) and Clawmetry Selfcheck (vivekchand/clawmetry, 426 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/skills, which has 3,097 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 9, 2026.
Source: microsoft/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.