appstore-release-prep

appstore-release-prep is a skill for Claude Code from mgcrea/mcp-appstore-connect. It costs 277 tokens per session (6,230 once invoked), scanned A, original, MIT.

A workflow for preparing an Xcode app's release documentation and App Store listing text. It covers the developer changelog and customer-facing fields such as the update notes, description, keywords, and subtitle.

In plain words
What is it for?
Use it to audit a release, write the changelog, prepare App Store Connect metadata, check character limits, and detect certain release-file inconsistencies.
Why use it?
It helps find undocumented changes and keep store text within Apple's limits before submission.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_SKILL_DIR} variable. Also seen: positional $N argument.

Part of the appstore-toolkit plugin — 2 skills shipped together

Good fit Use it to audit a release, write the changelog, prepare App Store Connect metadata, check character limits, and detect certain release-file inconsistencies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mgcrea/mcp-appstore-connect/appstore-release-prep
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.

Any agent
npx skills add mgcrea/mcp-appstore-connect --skill appstore-release-prep
Clone the repo
git clone --depth 1 https://github.com/mgcrea/mcp-appstore-connect

Made for: Claude Code.

Or install appstore-toolkit, the plugin that ships this one along with the rest of its 2 skills.

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 appstore-release-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/mgcrea/mcp-appstore-connect/appstore-release-prep/github.svg)](https://agentmods.dev/skills/mgcrea/mcp-appstore-connect/appstore-release-prep)
Your own site
<a href="https://agentmods.dev/skills/mgcrea/mcp-appstore-connect/appstore-release-prep"><img src="https://agentmods.dev/badge/skills/mgcrea/mcp-appstore-connect/appstore-release-prep/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 appstore-release-prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/mgcrea/mcp-appstore-connect/appstore-release-prep"><img src="https://agentmods.dev/badge/skills/mgcrea/mcp-appstore-connect/appstore-release-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 277 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,230 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.
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 $0.00277 $0.06230
Opus 5 $0.00138 $0.03115
Sonnet 5 $0.00055 $0.01246
Haiku 4.5 $0.00028 $0.00623

Measured 5d ago against content hash 5b8840413966, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

appstore-release-prep 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/audit_release.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.

plugins/appstore-toolkit/skills/appstore-release-prep/SKILL.md · 463 lines

How it starts

The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.

App Store release prep

Turn "what changed since the last release" into two documents that stay in sync: a CHANGELOG entry (for developers, complete) and the App Store Connect fields (for customers, ruthlessly short and hard-limited).

The failure modes here are boring and specific, and they are why this skill exists: people guess the version, miss features that shipped without ever being written down, and blow a 4,000-character limit they never measured. Run the audit first — it answers all three deterministically — then spend your judgment on the copy.

1. Audit before writing anything

python3 ${CLAUDE_SKILL_DIR}/scripts/audit_release.py --repo <repo>   # add --json for machine output

It reports: the shipping version and the last documented one, the release boundary commit and everything since it, commits that shipped in the last release but were never announced, every store field measured against Apple's limit, em dashes in prose, and screenshot-config drift. It exits non-zero if a field is over or missing, so it can gate a release.

The source is auto-detected: a metadata tree wins, else APPSTORE.md, STORES.md and friends. The tree is found from its .listing.json wherever that sits, falling back to fastlane/metadata/ or Listing/; pass --metadata-root <path> for a tree that was moved and has no sidecar, or when the repo holds more than one. Pass --fields-file <path> to force a document, or --locale to audit a locale other than the primary one. Check the source it reports — the header says which file or directory the numbers came from. If it reports "file does not exist" for a project that plainly has store copy, you pointed it at the wrong place; do not take that as license to write every field from scratch, or you will replace live copy with a rewrite nobody asked for.

Pull the live listing first when an App Store Connect MCP is available

The script never makes network calls: it gates releases, so it stays offline and deterministic. That leaves one failure it structurally cannot see — someone edits the listing in App Store Connect's web UI, nobody backports it, and the local copy quietly falls behind what customers are reading. The local files are the draft; the live listing is what shipped. Neither is automatically right.

Read the full file on GitHub · 463 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. 5d ago Changed · +55 lines 5b8840413966
  2. 6d ago Changed · +13 lines 1984abd5b44b
  3. 10d ago First seen · 395 lines · 277 tokens per session scan A d0ca386259aa

Subscribe to this mod's changes

appstore-release-prep is a skill published in the GitHub repository mgcrea/mcp-appstore-connect (1 stars, last pushed 3d ago), licensed MIT. It adds 277 tokens to every session and 6,230 once invoked, about $0.0014 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.

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