PrompterOne: Agent for Claude Code

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/running-agents.md

running-agents is an agent for Claude Code, Codex from managedcode/PrompterOne. It costs 8 tokens per session (2,510 once invoked), scanned A, original, MIT.

A guide to running agents with the Microsoft Agent Framework, including calls that return one result and calls that stream updates as they are produced.

In plain words
What is it for?
Use it when writing agent runners in C# or Python. It covers zero or more input messages, non-streaming runs, streaming runs, and the relevant framework methods.
Why use it?
It helps developers choose how an agent should receive input and return output, depending on whether they need a complete response or live progress.

Agent for Claude CodeCodex

Written for Codex and Claude Code: installed under .codex/, but also a Claude Code subagent (agents/*.md).

This is managedcode/PrompterOne's own configuration. It tells Claude Code and Codex how to work on PrompterOne itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PrompterOne configures →

Reuse

Borrowing it

Nothing to install: this file belongs to managedcode/PrompterOne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/managedcode/PrompterOne/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/running-agents.md
Clone the repo
git clone --depth 1 https://github.com/managedcode/PrompterOne

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for running-agents

README.md
[![agentmods](https://agentmods.dev/badge/agents/managedcode/prompterone/running-agents/github.svg)](https://agentmods.dev/agents/managedcode/prompterone/running-agents)
Your own site
<a href="https://agentmods.dev/agents/managedcode/prompterone/running-agents"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/running-agents/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.

agentmods 80×15 button for running-agents

Your own site · 80×15
<a href="https://agentmods.dev/agents/managedcode/prompterone/running-agents"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/running-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,510 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00008 $0.02510
Opus 5.5 $0.00003 $0.01004
Sonnet 5.5 $0.00002 $0.00502
Haiku 4.5 $0.00001 $0.00251

Measured 1mo ago against content hash 90e5eae4b13d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

running-agents 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/running-agents.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Running Agents

The base Agent abstraction exposes various options for running the agent. Callers can choose to supply zero, one, or many input messages. Callers can also choose between streaming and non-streaming. Let's dig into the different usage scenarios.

Streaming and non-streaming

Microsoft Agent Framework supports both streaming and non-streaming methods for running an agent.

::: zone pivot="programming-language-csharp"

For non-streaming, use the RunAsync method.

Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?"));

For streaming, use the RunStreamingAsync method.

await foreach (var update in agent.RunStreamingAsync("What is the weather like in Amsterdam?"))
{
    Console.Write(update);
}

::: zone-end ::: zone pivot="programming-language-python"

For non-streaming, use the run method.

result = await agent.run("What is the weather like in Amsterdam?")
print(result.text)

For streaming, use the run_stream method.

async for update in agent.run_stream("What is the weather like in Amsterdam?"):
    if update.text:
        print(update.text, end="", flush=True)

::: zone-end

Agent run options

::: zone pivot="programming-language-csharp"

The base agent abstraction does allow passing an options object for each agent run, however the ability to customize a run at the abstraction level is quite limited. Agents can vary significantly and therefore there aren't really common customization options.

For cases where the caller knows the type of the agent they are working with, it is possible to pass type specific options to allow customizing the run.

For example, here the agent is a ChatClientAgent and it is possible to pass a ChatClientAgentRunOptions object that inherits from AgentRunOptions. This allows the caller to provide custom xref:Microsoft.Extensions.AI.ChatOptions that are merged with any agent level options before being passed to the IChatClient that the ChatClientAgent is built on.

Read the full file on GitHub · 283 lines

Changes

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.

  1. 1mo ago First seen · 283 lines · 8 tokens per session scan A 90e5eae4b13d

Subscribe to this mod's changes

running-agents is an agent published in the GitHub repository managedcode/PrompterOne (45 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 2,510 once invoked, about $0.0000 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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