appstore-precheck AGENTS.md

appstore-precheck AGENTS.md is an instructions file for Codex, OpenCode from berkayturk/appstore-precheck. It costs 792 tokens per session, scanned A, original, MIT.

Repository instructions for `appstore-precheck`, a read-only checker that scans an iOS app before App Store review. They explain how coding agents find the skill and describe 28 deeper review checks.

In plain words
What is it for?
They are for checking an iOS project before submission, reviewing the scanner and its deep-review checks, and contributing to or consuming the repository correctly.
Why use it?
They provide shared guidance so different coding agents use the same pre-submission checks and understand the repository's rules.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

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 instructions/berkayturk/appstore-precheck/agents-md
Clone the repo
git clone --depth 1 https://github.com/berkayturk/appstore-precheck

Made for: Codex, OpenCode.

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-precheck AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/berkayturk/appstore-precheck/agents-md.svg)](https://agentmods.dev/instructions/berkayturk/appstore-precheck/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/berkayturk/appstore-precheck/agents-md"><img src="https://agentmods.dev/badge/instructions/berkayturk/appstore-precheck/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 792 This file is loaded in full into every session.
When invoked 792 The same file — it is already loaded in full.
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 5.1 $0.00792 $0.00792
Opus 5 $0.00396 $0.00396
Sonnet 5 $0.00158 $0.00158
Haiku 4.5 $0.00079 $0.00079

Measured 6d ago against content hash 8cc053814f4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

appstore-precheck AGENTS.md 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 6d 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.

AGENTS.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Cross-tool instructions for any coding agent working in or consuming this repository. This file follows the agents.md convention and is read by Codex, Cursor, Gemini CLI, Grok Build, GitHub Copilot, and others as always-on context.

What this repo is

appstore-precheck is a single Agent Skill (open standard: agentskills.io) that runs a read-only, pre-submission check for an iOS app before App Store review. The skill lives at skills/appstore-precheck/; its scanner, scripts/scan.sh, is portable Bash and can be run by any agent or by hand. Phase 4 runs 28 Pierre deep-review checks (22 Tier A + 6 Tier B v1 heuristic; see references/pierre-deep-review.md).

Using the skill in your project

The same SKILL.md is consumed natively by Claude Code, Claude API/apps, OpenAI Codex, Cursor, Gemini CLI, and Grok Build, with no per-tool conversion. They differ only in which directory they scan:

Host Skill directory it scans
Claude Code .claude/skills/<name>/ (project), ~/.claude/skills/ (user)
OpenAI Codex .agents/skills/<name>/ (project), ~/.agents/skills/ (user)
Cursor .agents/skills/, .cursor/skills/, also reads .claude/skills/
Gemini CLI .agents/skills/, .gemini/skills/
Grok Build .grok/skills/, also .agents/skills/ and .claude/skills/ (compat)

Install: Claude Code, Cursor, Codex, and Grok Build as native plugins from this repo (see README Quick start). Gemini: gemini skills install https://github.com/berkayturk/appstore-precheck.git --path skills/appstore-precheck. Fallback: ./install.sh copies the skill into .claude/skills/, .agents/skills/, and/or .grok/skills/ of the current project, or ./install.sh <host> <project|user> for a single host.

The hard rule

Read the full file on GitHub · 55 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. 6d ago First seen · 55 lines · 792 tokens per session scan A 8cc053814f4a

Subscribe to this mod's changes

appstore-precheck AGENTS.md is an instructions file published in the GitHub repository berkayturk/appstore-precheck (4 stars, last pushed 4d ago), licensed MIT. It adds 792 tokens to every session, about $0.0040 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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