Microsoft 365 Agents SDK is a software toolkit for building AI agents that can communicate through channels such as Microsoft 365 Copilot, Teams, web apps, and custom applications. Developers use it to add state, storage, event handling, and channel-specific behavior while choosing their own AI services and models. The catalogue entries are skills and plugins for working with this SDK.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add microsoft/Agents --skill agents-sdk-python-otelgit clone --depth 1 https://github.com/microsoft/AgentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/microsoft/agents/agents-sdk-python-otel)<a href="https://agentmods.dev/skills/microsoft/agents/agents-sdk-python-otel"><img src="https://agentmods.dev/badge/skills/microsoft/agents/agents-sdk-python-otel/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/microsoft/agents/agents-sdk-python-otel"><img src="https://agentmods.dev/badge/skills/microsoft/agents/agents-sdk-python-otel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.05318 |
| Opus 5.5 | $0.00032 | $0.02127 |
| Sonnet 5.5 | $0.00016 | $0.01064 |
| Haiku 4.5 | $0.00008 | $0.00532 |
Grade A, and why
agents-sdk-python-otel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 714 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenTelemetry for Agents SDK (Python)
Goal
Configure traces, metrics, and logs for a Python Agents SDK application, including the SDK's built-in telemetry and a local Aspire Dashboard. Preserve the project's dependency manager, web host, logging design, and startup lifecycle.
Non-negotiable rules
- Configure global OpenTelemetry providers before importing most
microsoft_agentsSDK modules. The Python SDK resolves tracers and meters at import time.microsoft_agents.activitycontains no telemetry and is safe to import before provider setup. - Extend existing providers instead of attempting to replace already-set global providers. OpenTelemetry Python does not permit provider replacement after initialization.
- Instrument aiohttp, requests, or other libraries after providers are configured and before the application starts handling traffic.
- Use one stable application-specific
service.name. - Let exporters read standard OTEL environment variables. Never hardcode collector credentials, API keys, or connection strings.
- Never add prompts, responses, message text, tokens, authorization headers, cookies, secrets, attachment contents, user names, user IDs, conversation IDs, activity IDs, or arbitrary HTTP headers to custom telemetry by default.
- Keep custom metric attributes low-cardinality. Good dimensions include route type, activity type, channel ID, operation, status, and error type.
- Use batch processors for normal applications. Simple processors are only appropriate for narrow debugging or tests.
- Do not set always-on sampling as a production default. Honor the deployment sampling policy or configure a deliberate parent-based ratio.
- Flush tracer, meter, and logger providers during graceful shutdown. Do not silently ignore exporter or shutdown failures.
- Avoid duplicate
LoggingHandlerinstances on the root logger. - Aspire Dashboard anonymous mode is local-development only. Bind it to loopback and never deploy that configuration.
- Telemetry must record and re-raise application exceptions.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 714 lines · 81 tokens per session scan A c0dd3ee9749c
agents-sdk-python-otel is a skill published in the GitHub repository microsoft/Agents (1,093 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 5,318 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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