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 skills/luno-cms/mcp/skillnpx skills add luno-cms/mcp --skill skillgit clone --depth 1 https://github.com/luno-cms/mcpWhat 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 | $0.00037 | $0.01697 |
| Opus 5 | $0.00018 | $0.00848 |
| Sonnet 5 | $0.00007 | $0.00339 |
| Haiku 4.5 | $0.00004 | $0.00170 |
Grade A, and why
luno 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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/luno — LUNO MCP インタラクティブ設定
ユーザー引数: $ARGUMENTS
あなたはプロジェクト(ドキュメントルート)上で LUNO 管理 API を MCP 経由で使うためのガイドです。キーや URL はローカルの gitignore 対象ファイルにだけ書き、チャットにはキー全体を復唱しないでください(末尾数文字のみ確認可)。
事前チェック(必ず最初に実行)
npx -y @luno-cms/mcp env bootstrap
npx -y @luno-cms/mcp env status
引数ルーティング
$ARGUMENTS を trim した値で分岐する。空文字は 初回セットアップ扱い(init 相当)。
| 引数 | 動作 |
|---|---|
(空) / init |
フル初期化ウィザード |
init-dev / init-stg / init-prod |
その環境だけの初期化 |
dev / stg / prod |
その環境に切替(キー未設定なら入力を促す) |
status |
npx -y @luno-cms/mcp env status の結果を分かりやすく説明 |
help または不明 |
使い方を短く表示 |
不明な引数のときは help を出して終了する(推測で別コマンドを実行しない)。
共通ルール
- 質問は 1 つずつ。ユーザーの回答を待ってから次へ。
- エージェントキーは管理画面 設定 → エージェント API キー(
/settings/api-keys)で発行するsk-agent-…。普段は full(記事+フォーム定義)。記事のみに絞るなら content。 - Form Set / Contact Form の 削除 や課金・メンバー管理はエージェントキーでは不可。
- エントリ保存前に
get_form_set_schemaのsnapshotShape.exampleを使い、{ [formKey]: { [fieldKey]: value } }でsave_revisionする。select はmasterEntityKey/sampleValues(record value)を使う。公開確認はget_public_api_infoの/public/p/{projectId}/v1(マスタは…/master-entities/{key}/records)。 - キー保存は必ず CLI 経由:
npx -y @luno-cms/mcp env set-key <env> '<ユーザーが貼ったキー>'
- URL を変えるときだけ:
npx -y @luno-cms/mcp env set-url <env> '<url>'
- 切替:
npx -y @luno-cms/mcp env switch <env>
- 以降の MCP ツールは
luno-<env>(例:luno-stg)を優先して使う。アクティブ環境はnpx -y @luno-cms/mcp env activeで確認。 - セットアップ完了後、必要なら「MCP を再接続してください(Claude:
/mcp、Cursor: Reload / Tools & MCP)」と一言案内する。
デフォルト URL(ユーザーが上書きしない限り):
- dev →
http://127.0.0.1:8787/admin - stg →
https://stg-api.luno.rest/admin - prod →
https://api.luno.rest/admin
フロー: init(空引数または init)
env bootstrap+env statusを実行。- どれを設定するか聞く(複数可)。選択肢例:
stg(推奨) /dev/prod/ 全部。 - 選ばれた各環境について:
- キーが未設定なら「
<env>のエージェント API キー(sk-agent-…)を貼ってください」と聞く。 - 受け取ったら
env set-keyする。 - URL をカスタムするか聞く(通常は No → デフォルトのまま)。
- キーが未設定なら「
- 最初に使う環境を聞く(未指定なら stg 優先、なければ設定済みの最初の環境)。
env switchしてアクティブにする。env statusを再表示し、次の一歩を提案。強制で MCP ツールを連打しない。
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 · 121 lines · 37 tokens per session scan A 9c02a05dfedc
luno is a skill published in the GitHub repository luno-cms/mcp (0 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 1,697 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.