ccpocket: Skill for Claude Code

.claude/skills/submit-store-review/SKILL.md

submit-store-review is a skill for Claude Code, Codex from K9i-0/ccpocket. It costs 126 tokens per session (3,323 once invoked), scanned A, original, MIT.

A release-submission workflow for sending an existing iOS or Android app build to App Store Connect or Google Play for review. It compares the candidate with the currently published version and prepares release notes in four languages.

In plain words
What is it for?
Use it to submit the latest existing candidate to Apple or Google review, prepare English, Japanese, Korean, and Simplified Chinese notes, handle resubmissions, and monitor the submission.
Why use it?
It removes manual checking of store versions, release differences, translations, and review-submission steps. It does not create a new app build or release.

Skill for Claude CodeCodex

Written for Claude Code and Codex: installed under .claude/, but also agents/openai.yaml present. Also seen: $skill-name invocation.

This is K9i-0/ccpocket's own configuration. It tells Claude Code and Codex how to work on ccpocket 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 ccpocket configures →

About the project

CC Pocket is a mobile and desktop client for controlling Codex and Claude coding-agent sessions through a self-hosted Bridge Server running on another computer. It lets users start sessions, approve actions, answer questions, review changes, and continue coding from supported devices. The catalogue entries provide the skills, hooks, MCP servers, agents, instructions, and settings used by this client.

K9i-0/ccpocket · 1,065 stars · on GitHub · k9i-0.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to K9i-0/ccpocket. 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/K9i-0/ccpocket/main/.claude/skills/submit-store-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/K9i-0/ccpocket

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 submit-store-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/k9i-0/ccpocket/submit-store-review/github.svg)](https://agentmods.dev/skills/k9i-0/ccpocket/submit-store-review)
Your own site
<a href="https://agentmods.dev/skills/k9i-0/ccpocket/submit-store-review"><img src="https://agentmods.dev/badge/skills/k9i-0/ccpocket/submit-store-review/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 submit-store-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/k9i-0/ccpocket/submit-store-review"><img src="https://agentmods.dev/badge/skills/k9i-0/ccpocket/submit-store-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,323 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00126 $0.03323
Opus 5 $0.00063 $0.01662
Sonnet 5 $0.00025 $0.00665
Haiku 4.5 $0.00013 $0.00332

Measured 9d ago against content hash c17dd565fc85, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

submit-store-review 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 9d 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.

.claude/skills/submit-store-review/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Submit Store Review

release-app で作成済みの候補を、ストアの公開版との差分から審査へ提出する。新しいタグ、バージョン、ビルドは作成しない。

責務と安全境界

  • 提出は .github/workflows/submit-store-review.yml を使う。iOS は asc、Android は Fastlane と Google Play Developer API で処理する。
  • 公開状態は .github/workflows/inspect-store-state.yml で読む。iOS は新APIの READY_FOR_DISTRIBUTION または旧APIの READY_FOR_SALE、Android は production track の completed / inProgress を正とする。
  • Computer Use は通常使わない。APIで処理できない契約・税務・銀行情報や質問項目が残る場合だけ、理由と未完了項目を報告して止める。
  • 新しいリリースが必要なら $release-app、説明文やスクリーンショット全体の更新なら $update-store を使う。
  • 新規IAP・サブスクリプションを同じiOS審査へ含める場合、この自動提出は止める。アプリバージョン単体だけを自動化する。

「最新を審査提出して」の既定動作

プラットフォーム指定がなければ iOS と Android の両方を対象に、次を連続して行う。

  1. ストアAPIから現在の公開版を取得する。
  2. 各プラットフォームの最新リリースタグと成功した release workflow を確認する。
  3. 公開版タグから候補タグまでの累積差分を読む。
  4. 英語、日本語、韓国語、簡体字中国語のリリースノートを作る。
  5. 審査専用refへメタデータだけをコミットしてpushする。
  6. 公開版、候補、4言語のノート、公開方式、対象refを示し、確認を1回だけ求める。
  7. 承認後、iOSメタデータ反映と審査提出をdispatchし、完了まで監視する。

候補選択や翻訳ごとに確認を挟まない。ストアを変更する処理は最後の明示承認後にまとめて行う。承認前に実施してよい外部操作は、読み取り専用workflowの起動と審査refのpushまでとする。

1. 公開版と最新候補を特定する

最初にリモートとタグを更新し、ローカルの未コミット変更を上書きしない。

git status --short
git fetch origin main
git fetch --prune origin \
  '+refs/tags/ios/*:refs/store-review/remote-tags/ios/*' \
  '+refs/tags/android/*:refs/store-review/remote-tags/android/*'

候補版と公開版の比較には refs/store-review/remote-tags/ 配下の隔離refを使う。既存のローカルタグは上書きしない。

公開状態の取得は main 上の読み取り専用workflowを使う。dispatch前のUTC時刻を記録し、その時刻より後に作られた同じref・同じplatformのrunだけを採用する。該当runが複数あり一意に決められなければ止める。

gh workflow run inspect-store-state.yml --ref main -f platform=<ios|android|both>
gh run list --workflow=inspect-store-state.yml --event workflow_dispatch --limit 10 \
  --json databaseId,displayTitle,headBranch,status,conclusion,createdAt,url
gh run watch <run-id> --exit-status

state_dir=$(mktemp -d)
gh run download <run-id> -n ios-store-state -D "$state_dir/ios"
gh run download <run-id> -n android-store-state -D "$state_dir/android"

JSONから基準タグを厳密に解決する。

  • iOS: ios/v<version>+<buildNumber> が存在すること。
  • Android: publicRelease.versionCodes の最大値を N とし、android/v*+N がちょうど1つ存在すること。
  • 基準タグ内の apps/mobile/pubspec.yaml がタグ表記と一致すること。

Read the full file on GitHub · 200 lines

Files

What ships with it

3 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. 9d ago First seen · 200 lines · 126 tokens per session scan A c17dd565fc85

Subscribe to this mod's changes

submit-store-review is a skill published in the GitHub repository K9i-0/ccpocket (1,065 stars, last pushed yesterday), licensed MIT. It adds 126 tokens to every session and 3,323 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.

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