alm

A guide for building and deploying Azure solutions that comply with an organisation’s security rules and network restrictions.

In plain words
What is it for?
Use it to choose reference architectures, configure private connections and managed identities, deploy securely, verify the result, and clean up resources.
Why use it?
It helps avoid designs that fail because they depend on public access, shared keys, or other prohibited settings.

Skill for Claude CodeCodex

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/alm
Any agent
npx skills add geekfujiwara/CodeAppsDevelopmentStandard --skill alm
Clone the repo
git clone --depth 1 https://github.com/geekfujiwara/CodeAppsDevelopmentStandard

Made for: Claude Code, Codex.

Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,804 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 $0.00154 $0.03804
Opus 5 $0.00077 $0.01902
Sonnet 5 $0.00031 $0.00761
Haiku 4.5 $0.00015 $0.00380

Measured 2d ago against content hash a06590ca567c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

alm 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 2d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/alm_config.py, scripts/check_secrets.py, scripts/gate_rules.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/alm/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ALM(秘匿化・汎用化・CI/CD)共通スキル

コードファースト資産を安全に Git へ載せ、機械判定だけでデプロイまで到達させるための共通基盤。 プロダクト非依存であり、agent365(Foundry エージェント)、code-apps(Code Apps)など どのスキルからも同じ仕組みで利用できる。デプロイの実処理だけを各プロダクトスキルへ委譲する。

原則 内容
テンプレートのみコミット 追跡するのは ${VAR} 入りテンプレートだけ。実値は .env とシークレットストアにのみ存在する
二重の防御 ローカルは pre-commit(sanitize.pycheck_secrets.py)、CI は決定論ゲート(review_sanitization.py
機械判定 レビューはルールベース。人手の承認(HITL)を前提にせず、判定を再現可能にする
ホスティング非依存 Git ホスティングとシークレットストアは GIT_PROVIDER / SECRET_BACKEND で差し替える
最小権限 ワークフローは permissions: を明示。contents: write はリリースジョブだけに許可する
記録はリリースに残す デプロイ結果とレビュー結果は GitHub Releases(バージョンごと)に残す。Issue には残さない
設定の外出し パス・許可リスト等は alm.config.json。スクリプト本体はどのリポジトリでも無改変で使う

前提ツール: Python 3.10+、Git、Azure CLI(az)。 シークレットストアに応じて GitHub CLI(gh)または az extension add --name azure-devops を追加する。

各プロダクトスキルとの責務分担

担当 内容 参照先
alm(本スキル) 秘匿化・汎用化・pre-commit・レビューゲート・承認・リリース記録 本ファイル
agent365 Foundry エージェント定義、ブループリント、Teams パッケージ、公開 agent365
code-apps Code Apps の実装、npm run deploy などのデプロイ手順 code-apps
standard ソリューション運用・環境戦略などの上位ルール standard

プロダクトスキル側は「何をデプロイするか」だけを定義し、 「どう秘匿化し、どう検証し、どう承認して記録するか」は本スキルに従う。

スキル同梱スクリプト

テーマリポジトリの scripts/ へそのままコピーして使う(alm_config.py を必ず一緒に置く)。

スクリプト 用途 実行場所
scripts/alm_config.py alm.config.json の読み込み(他スクリプトが import) -
scripts/sanitize.py 実値入りファイルを ${VAR} 化し、シークレットストアへ同期 pre-commit
scripts/check_secrets.py ステージ済み差分への実値混入を検査 pre-commit
scripts/render.py テンプレートの ${VAR} を環境変数で解決 ローカル / CI
scripts/review_sanitization.py 秘匿化・汎用化の決定論レビューゲート CI(必須チェック)
scripts/gate_rules.py 品質 / 汎用性 / セキュリティ / 可読性 / リリース判定のルールエンジン CI(各ゲート)
scripts/review_report.py 各ゲートの判定を 1 枚のレビュー結果表に統合 CI(レポート)

Read the full file on GitHub · 216 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. 2d ago First seen · 216 lines · 154 tokens per session scan A a06590ca567c

Subscribe to this mod's changes

alm is a skill published in the GitHub repository geekfujiwara/CodeAppsDevelopmentStandard (59 stars, last pushed 5d ago), licensed MIT. It adds 154 tokens to every session and 3,804 once invoked, about $0.0008 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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