agent-workspace-mcp: Skill for Claude Code

.agents/skills/openai-agents-sdk/SKILL.md

openai-agents-sdk is a skill for Claude Code from HrRodan/agent-workspace-mcp. It costs 39 tokens per session (596 once invoked), scanned A, original, no licence file.

Development guidance for the OpenAI Agents SDK for Python, a package for building AI agents that can use tools and work together. It also covers applications that stream results while they run.

In plain words
What is it for?
Building Python AI agents, multi-agent workflows, tool integrations, and streaming applications with the openai-agents package.
Why use it?
It provides relevant guidance when an agent project needs tool use, multiple cooperating agents, or streamed output.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is HrRodan/agent-workspace-mcp's own configuration. It tells Claude Code how to work on agent-workspace-mcp 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 agent-workspace-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to HrRodan/agent-workspace-mcp. 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/HrRodan/agent-workspace-mcp/main/.agents/skills/openai-agents-sdk/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/HrRodan/agent-workspace-mcp

Made for: Claude Code.

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 openai-agents-sdk

README.md
[![agentmods](https://agentmods.dev/badge/skills/hrrodan/agent-workspace-mcp/openai-agents-sdk/github.svg)](https://agentmods.dev/skills/hrrodan/agent-workspace-mcp/openai-agents-sdk)
Your own site
<a href="https://agentmods.dev/skills/hrrodan/agent-workspace-mcp/openai-agents-sdk"><img src="https://agentmods.dev/badge/skills/hrrodan/agent-workspace-mcp/openai-agents-sdk/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 openai-agents-sdk

Your own site · 80×15
<a href="https://agentmods.dev/skills/hrrodan/agent-workspace-mcp/openai-agents-sdk"><img src="https://agentmods.dev/badge/skills/hrrodan/agent-workspace-mcp/openai-agents-sdk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 596 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 unknown 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 $0.00039 $0.00596
Opus 5 $0.00019 $0.00298
Sonnet 5 $0.00008 $0.00119
Haiku 4.5 $0.00004 $0.00060

Measured 10d ago against content hash b85ae85d5448, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

openai-agents-sdk 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 10d 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.

.agents/skills/openai-agents-sdk/SKILL.md · 79 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

8 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.

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. 10d ago First seen · 79 lines · 39 tokens per session scan A b85ae85d5448

Subscribe to this mod's changes

openai-agents-sdk is a skill published in the GitHub repository HrRodan/agent-workspace-mcp (1 stars, last pushed 4d ago), with no licence file. It adds 39 tokens to every session and 596 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

pennylane

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with…

K-Dense-AI/scientific-agent-skills · 98 tokens

dd-code-generation

Use pup CLI for immediate Datadog operations or generate code for integration into applications.

DataDog/pup · 16 tokens

rocm-kernels

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…

huggingface/kernels · 93 tokens

holoscan-install-wheel

Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.

NVIDIA/skills · 37 tokens

typing-exclusion-worker

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

getsentry/skills · 57 tokens