agent365-skills AGENTS.md

agent365-skills AGENTS.md is an instructions file for Codex, OpenCode from microsoft/agent365-skills. It costs 7,071 tokens per session, scanned A, original, MIT.

Development guidelines for a plugin that configures Microsoft Agent 365 agents. Agent 365 is Microsoft's platform for registering, connecting, observing, and publishing agents.

In plain words
What is it for?
Use them when changing the plugin's seven skills, including setup, Teams publishing, agent registration, tool connections, observability, validation, and local testing.
Why use it?
They provide the available commands, trigger phrases, file format, and platform behavior in one place.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/microsoft/agent365-skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/microsoft/agent365-skills

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/microsoft/agent365-skills/agents-md.svg)](https://agentmods.dev/instructions/microsoft/agent365-skills/agents-md)
Your own site
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Per session 7,071 This file is loaded in full into every session.
When invoked 7,071 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.07071 $0.07071
Opus 5 $0.03535 $0.03535
Sonnet 5 $0.01414 $0.01414
Haiku 4.5 $0.00707 $0.00707

Measured 3d ago against content hash f1535bc95448, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent365-skills AGENTS.md 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 3d 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.md · 360 lines

How it starts

The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent 365 Plugin — Development Guidelines

This file documents conventions for contributors working on the agent365 plugin skills. Read this before making any changes to skill files.


Plugin Purpose

This plugin instruments and configures A365 agents. It contains seven skills:

Skill Command Trigger
make-ai-teammate /agent365:make-ai-teammate "make this agent an AI Teammate", "add AI Teammate hosting", "transform agent to Teams agent"
a365-setup /agent365:a365-setup "run a365 setup", "create blueprint", "register agent"
make-a365-agent /agent365:make-a365-agent "provision agent with a365", "Registration setup", "observability setup", "register this agent"
add-workiq-tools /agent365:add-workiq-tools "add workiq tools", "add MCP servers to this agent"
instrument-observability /agent365:instrument-observability "instrument observability", "add a365 observability"
a365-code-validator /agent365:a365-code-validator "validate a365 code", "debug MAC activity", "check A365 exporter flags"
test-local /agent365:test-local "test this agent locally", "open agentsplayground"

Supported languages for make-ai-teammate: .NET (AgentFramework · Semantic Kernel) · Node.js (LangChain · OpenAI Agents SDK · Claude SDK · Semantic Kernel · Google ADK) · Python (AgentFramework · LangChain · OpenAI · Claude · Semantic Kernel · Google ADK)

Supported languages for instrument-observability: .NET AgentFramework · Node.js (LangChain · OpenAI · Claude SDK · Semantic Kernel · Google ADK) · Python (AgentFramework · LangChain · OpenAI · Claude · Semantic Kernel · Google ADK)

Supported agent stacks for add-workiq-tools (verified against Agent365-{dotnet,python,nodejs}):

  • .NET: Agent Framework · Semantic Kernel (different API: AddToolServersToAgentAsync, not GetMcpToolsAsync) · Azure AI Foundry (best-effort — package published, no Microsoft sample)
  • Node.js: LangChain (returns new agent — capture return) · OpenAI Agents SDK (mutates in place) · Claude SDK (first arg is Options, mutates in place) · ⚠ Semantic Kernel and Google ADK hard-stop (no Microsoft adapter — skill exits at Phase 0B)
  • Python: Agent Framework (uses turn_context= kwarg, requires initial_tools=[]) · OpenAI Agents SDK (uses context= kwarg, no agentic_app_id) · Google ADK (passes agentic_app_id, wraps in asyncio.wait_for) · Semantic Kernel and Azure AI Foundry (best-effort — package published, no Microsoft sample) · ⚠ LangChain / Claude SDK / CrewAI hard-stop (no Microsoft adapter; Claude and CrewAI samples ship a local DIY mcp_tool_registration_service.py scaffold — out of scope for this skill)

Read the full file on GitHub · 360 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. 3d ago First seen · 360 lines · 7,071 tokens per session scan A f1535bc95448

Subscribe to this mod's changes

agent365-skills AGENTS.md is an instructions file published in the GitHub repository microsoft/agent365-skills (32 stars, last pushed 8d ago), licensed MIT. It adds 7,071 tokens to every session, about $0.0354 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 2026-08-30.

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