packaging-notarization

packaging-notarization is a skill for Codex from fanfan-de/anybox. It costs 30 tokens per session (284 once invoked), scanned A, a copy of macos-packaging-notarization, MIT.

A workflow for preparing macOS apps for distribution, including app archives, exported bundles, code signing, and notarization. Notarization is Apple’s review step that helps macOS trust software downloaded from the internet.

In plain words
What is it for?
Use it to inspect distributable app bundles, validate nested code and entitlements, troubleshoot signing or notarization failures, and assess distribution readiness.
Why use it?
It separates problems with the packaged app from problems caused by macOS trust rules. It also identifies missing signing, hardened-runtime, entitlement, framework, or helper-tool requirements.

Skill for Codex

Written for Codex: agents/openai.yaml present.

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/fanfan-de/anybox/packaging-notarization
Any agent
npx skills add fanfan-de/anybox --skill packaging-notarization
Clone the repo
git clone --depth 1 https://github.com/fanfan-de/anybox

Made for: 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 packaging-notarization

README.md
[![agentmods](https://agentmods.dev/badge/skills/fanfan-de/anybox/packaging-notarization.svg)](https://agentmods.dev/skills/fanfan-de/anybox/packaging-notarization)
Your own site
<a href="https://agentmods.dev/skills/fanfan-de/anybox/packaging-notarization"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/packaging-notarization.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 284 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 98% copy Near-identical to another mod 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 $0.00030 $0.00284
Opus 5 $0.00015 $0.00142
Sonnet 5 $0.00006 $0.00057
Haiku 4.5 $0.00003 $0.00028

Measured 6d ago against content hash adc0d5e0c48e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

packaging-notarization 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.

Origin

This is a copy

98% identical to macos-packaging-notarization — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/Anybox-Plugins/build-macos-apps/skills/packaging-notarization/SKILL.md · 48 lines

What it actually says

Packaging & Notarization

Quick Start

Use this skill when the work is about shipping the app rather than merely running it locally: archives, exported app bundles, notarization readiness, hardened runtime, or distribution validation.

Workflow

  1. Confirm the distribution goal.

    • Local archive validation
    • Signed distributable app
    • Notarization troubleshooting
  2. Inspect the artifact.

    • Validate app bundle structure.
    • Check nested frameworks, helper tools, and entitlements.
  3. Inspect signing and runtime prerequisites.

    • Hardened runtime
    • Signing identity
    • Nested code signatures
    • Required entitlements
  4. Explain notarization readiness or failure.

    • Separate packaging issues from trust-policy symptoms.
    • Point to the minimum follow-up validation commands.

Guardrails

  • Do not present notarization as required for ordinary local debug runs.
  • Call out when you lack the actual exported artifact and are inferring from project settings.
  • Keep advice concrete and verifiable.

Output Expectations

Provide:

  • what artifact or settings were inspected
  • whether the app looks distribution-ready
  • the top missing prerequisite or failure mode
  • the next validation or repair step
Files

What ships with it

1 file 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. 6d ago First seen · 48 lines · 30 tokens per session scan A adc0d5e0c48e

Subscribe to this mod's changes

packaging-notarization is a skill published in the GitHub repository fanfan-de/anybox (58 stars, last pushed 23d ago), licensed MIT. It adds 30 tokens to every session and 284 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to macos-packaging-notarization, differing in 2 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens