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 agentmods add agents/managedcode/dotpilot/enable-observabilitygit clone --depth 1 https://github.com/managedcode/dotPilotWhat 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 | $0.00012 | $0.02178 |
| Opus 5 | $0.00006 | $0.01089 |
| Sonnet 5 | $0.00002 | $0.00436 |
| Haiku 4.5 | $0.00001 | $0.00218 |
Grade A, and why
enable-observability 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 yesterday.
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.
This is a copy
100% identical to enable-observability — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enabling observability for Agents
::: zone pivot="programming-language-csharp"
This tutorial shows how to enable OpenTelemetry on an agent so that interactions with the agent are automatically logged and exported. In this tutorial, output is written to the console using the OpenTelemetry console exporter.
[!NOTE] For more information about the standards followed by Microsoft Agent Framework, see Semantic Conventions for GenAI agent and framework spans from Open Telemetry.
Prerequisites
For prerequisites, see the Create and run a simple agent step in this tutorial.
Install NuGet packages
To use Microsoft Agent Framework with Azure OpenAI, you need to install the following NuGet packages:
dotnet add package Azure.AI.OpenAI --prerelease
dotnet add package Azure.Identity
dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
To also add OpenTelemetry support, with support for writing to the console, install these additional packages:
dotnet add package OpenTelemetry
dotnet add package OpenTelemetry.Exporter.Console
Enable OpenTelemetry in your app
Enable Agent Framework telemetry and create an OpenTelemetry TracerProvider that exports to the console.
The TracerProvider must remain alive while you run the agent so traces are exported.
using System;
using OpenTelemetry;
using OpenTelemetry.Trace;
// Create a TracerProvider that exports to the console
using var tracerProvider = Sdk.CreateTracerProviderBuilder()
.AddSource("agent-telemetry-source")
.AddConsoleExporter()
.Build();
Create and instrument the agent
Create an agent, and using the builder pattern, call UseOpenTelemetry to provide a source name.
Note that the string literal agent-telemetry-source is the OpenTelemetry source name
that you used when you created the tracer provider.
using System;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI;
// Create the agent and enable OpenTelemetry instrumentation
AIAgent agent = new AzureOpenAIClient(
new Uri("https://<myresource>.openai.azure.com"),
new AzureCliCredential())
.GetChatClient("gpt-4o-mini")
.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker")
.AsBuilder()
.UseOpenTelemetry(sourceName: "agent-telemetry-source")
.Build();
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.
- yesterday First seen · 277 lines · 12 tokens per session scan A d03e2d0e5c91
enable-observability is an agent published in the GitHub repository managedcode/dotPilot (23 stars, last pushed 4mo ago), licensed MIT. It adds 12 tokens to every session and 2,178 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to enable-observability, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
knowledge-ops
Executes knowledge management operations under CKO direction. Audits consistency, distributes learnings, optimizes memory files, and detects knowledge gaps across the agent fleet.
Explore
Fast read-only codebase & docs exploration. Returns structured findings, never raw file dumps.
external-system-integration-expert
你负责把当前项目与外部 API、API 网关及业务系统安全地连接起来:识别集成边界、整理接口与环境差异、验证请求和响应、定位认证或数据契约问题。.
Audit
Deep security + performance audit of a specific diff. Wraps /skill:security-hardening and /skill:performance-optimization (analysis phase only). Use when a change touches auth, untrusted input, secrets, webhooks, PII, or a latency/throughput budget — a focused, read-only risk pass that returns findings the parent…
registry
InitRunner's role registry lets you install, share, and discover roles from InitHub and OCI registries. Roles are downloaded, validated, and saved to /.initrunner/roles/ where they integrate automatically with the CLI.
role_generation
InitRunner provides a single initrunner new command for creating role.yaml files. It supports multiple seed modes (templates, AI generation, examples, hub bundles, or local files) and an interactive refinement loop for iterating on the YAML before saving. Run with no arguments in a terminal and it shows a guided start…