agentmods.dev

copilot-studio-v2

copilot-studio-v2 is a skill for Claude Code, Codex from geekfujiwara/CodeAppsDevelopmentStandard. It costs 124 tokens per session (5,318 once invoked), scanned A, original, MIT.

A guide for creating the newer Copilot Studio agent architecture through the Dataverse Web API. Dataverse is Microsoft's cloud data platform, and the process is script-based rather than UI-based.

In plain words
What is it for?
Use it to create and configure bots, set instructions, models, and memory, attach flat Python skill bundles, register icons, and publish agents.
Why use it?
It removes manual Copilot Studio setup for this architecture and makes repeatable, programmatic creation possible.

Skill for Claude CodeCodex

not rated 60 today A scan 124 tokens original MIT
View the source file geekfujiwara/CodeAppsDevelopmentStandard
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 skills/geekfujiwara/codeappsdevelopmentstandard/copilot-studio-v2
Any agent
npx skills add geekfujiwara/CodeAppsDevelopmentStandard --skill copilot-studio-v2
Clone the repo
git clone --depth 1 https://github.com/geekfujiwara/CodeAppsDevelopmentStandard

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 copilot-studio-v2

README.md
[![agentmods](https://agentmods.dev/badge/skills/geekfujiwara/codeappsdevelopmentstandard/copilot-studio-v2.svg)](https://agentmods.dev/skills/geekfujiwara/codeappsdevelopmentstandard/copilot-studio-v2)
Your own site
<a href="https://agentmods.dev/skills/geekfujiwara/codeappsdevelopmentstandard/copilot-studio-v2"><img src="https://agentmods.dev/badge/skills/geekfujiwara/codeappsdevelopmentstandard/copilot-studio-v2.svg" alt="Measured on agentmods" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,318 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00124 $0.05318
Opus 5 $0.00062 $0.02659
Sonnet 5 $0.00025 $0.01064
Haiku 4.5 $0.00012 $0.00532

Measured 4d ago against content hash ea44f519546b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

copilot-studio-v2 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 4d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/analyze_agent.py, scripts/attach_skill.py, scripts/create_agent.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/skills/copilot-studio-v2/SKILL.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot Studio v2（新アーキテクチャ）エージェント構築スキル

Copilot Studio の 「全く新しいアーキテクチャ」（cliagent テンプレート） エージェントを Dataverse Web API だけで完全自動構築 する。

v1（旧）スキルとの最大の違い

観点 v1（copilot-studio スキル / 旧アーキ） v2（本スキル / 新アーキ cliagent）
Bot 作成 ❌ API 不可。Copilot Studio UI で手動作成必須 ✅ POST /bots で API 作成可能。UI 不要・完全自動
設定の保存先 GPT コンポーネント（componenttype=15）+ PVA ダブル改行 YAML bots.configuration の BotConfiguration JSON にインライン
recognizer （クラシック PVA） CLICopilotRecognizer
モデル指定 GPT data の aISettings.model.modelNameHint agentSettings.model.series（例 claude-opus-5）
Instructions GPT data YAML（ダブル改行フォーマット注意） agentSettings.instructions.segments[].value（プレーン文字列）
メモリ （個別設定） agentSettings.enableMemory: true
スキル （ナレッジ/トピック） フラット Python スキルバンドル（type=9 + type=14 子ファイル）
自動化適性 △ UI 介在が必要 ◎ エンドツーエンドでスクリプト完結

このスキルを選ぶ理由: Bot 作成からスキル添付まで 人手の UI 操作ゼロ で構築できる。 CI/再現構築・量産・プログラム的な改変に向く。

いつ v2 を使うか（architecture スキルでの分岐）

architecture スキルの Copilot Studio 選定時に、ユーザーへ v2 / v1 のどちらで作るか を確認する。 判断の起点は「他サービスと連携して使うか、単独で使うか」:

  • 連携利用（Code Apps / Web サイト / 他システムから呼び出す）→ v1 を推奨。 v2（cliagent）は Code Apps から呼び出せず・Web サイトにも埋め込めない致命的制約があるため。
  • 単独利用（Teams / Copilot Studio 単体の対話のみ）→ v2 を推奨（UI 操作なしで自動構築できるため）。

致命的制約: v2 のエージェントは Code Apps の ExecuteCopilotAsyncV2 連携や WebChat SDK での 外部公開に対応しない。これらのシナリオでは必ず v1 を選ぶ。

v2（新アーキ）が向く＝単独利用 v1（旧アーキ）が向く＝連携利用
Teams 等で単独利用し、外部から呼び出さない Code Apps / Web サイト / 他システムから呼び出す（v2 不可）
UI 操作なしで自動構築したい 外部公開（Web 埋め込み・WebChat SDK）・トリガー・ニュース配信の既存資産を流用したい
フラット Python スキルでツール挙動を実装したい conversationStarters / 会話の開始 / クイック返信を細かく作り込みたい
再現構築・量産・プログラム的改変 クラシックなナレッジ/トピック中心の構成

構築フロー（完全自動）

1. .env 準備（DATAVERSE_URL / TENANT_ID / 任意で SOLUTION_NAME・PUBLISHER_PREFIX）
2. 設計提示 → ユーザー承認（名前・Instructions・モデル・スキル・アイコン・MCP 構成）
   - ファイル出力を伴うスキルを添付する場合は、Instructions に
     「ファイルを出力する際は毎回異なるファイル名にする」旨を含める（同名だと UI でダウンロード不可）
   - 初期メッセージ（greeting）と推奨プロンプトを agent/prompts.json に用意し、AGENT_PROMPTS_FILE で指定する
3. scripts/create_agent.py     … cliagent Bot を API 作成 + プロビジョニング待ち
                                 （AGENT_PROMPTS_FILE があれば初期メッセージ・推奨プロンプトもここで設定）
4. scripts/set_icon.py         … アイコン登録（240 / Teams color 192 / outline 32）
5. scripts/set_app_details.py  … Edit details(説明文・開発元・リンク・Teams 設定・M365 有効化)
6. scripts/attach_skill.py     … フラット Python スキルを添付（type=9 + type=14）
7. scripts/publish_agent.py    … PvaPublish で公開
8. scripts/verify_agent.py     … 構造検証（filedata 実体ダウンロード確認）
9. pac copilot list            … Published / Active / Provisioned を確認
10. UI で Build ＞ Model の表示を確認 … 「廃止されたモデル」なら scripts/set_model.py で修正し再公開
11. UI で MCP サーバーを追加（Dataverse / Work IQ 等）… ★手動作業（後述）
12. Preview で動作テスト（ユーザー）

Read the full file on GitHub · 309 lines

Files

What ships with it

22 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. 4d ago First seen · 309 lines · 124 tokens per session scan A ea44f519546b

Subscribe to this mod's changes

copilot-studio-v2 is a skill published in the GitHub repository geekfujiwara/CodeAppsDevelopmentStandard (60 stars, last pushed today), licensed MIT. It adds 124 tokens to every session and 5,318 once invoked, about $0.0006 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.

Backend and APIsFrontendLanguagesautomation
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