appshot-core

appshot-core is a skill for Claude Code, Codex from trunghaiy/appshot. It costs 47 tokens per session (10,911 once invoked), scanned A, original, MIT.

A shared foundation for Appshot projects that create app videos and images with Remotion, a tool for rendering React components as media. It defines the project structure, reusable visual parts, brand settings, device presets, and app-store requirements.

In plain words
What is it for?
Use it when building Appshot previews, screenshots, or videos from an app project, including its colors, icon, package details, and store metadata.
Why use it?
It gives related Appshot tasks a consistent structure and shared settings, so each video or image skill does not need to define them again.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool.

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/trunghaiy/appshot/appshot-core
Any agent
npx skills add trunghaiy/appshot --skill appshot-core
Clone the repo
git clone --depth 1 https://github.com/trunghaiy/appshot

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 appshot-core

README.md
[![agentmods](https://agentmods.dev/badge/skills/trunghaiy/appshot/appshot-core.svg)](https://agentmods.dev/skills/trunghaiy/appshot/appshot-core)
Your own site
<a href="https://agentmods.dev/skills/trunghaiy/appshot/appshot-core"><img src="https://agentmods.dev/badge/skills/trunghaiy/appshot/appshot-core.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,911 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 5.1 $0.00047 $0.10911
Opus 5 $0.00023 $0.05456
Sonnet 5 $0.00009 $0.02182
Haiku 4.5 $0.00005 $0.01091

Measured 6d ago against content hash 670c9af6b724, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

appshot-core 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.

skills/appshot-core/SKILL.md · 836 lines

How it starts

The opening of the file, as written. The whole thing — 836 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Appshot Core — Foundation

Reference skill for all Appshot skills. Read this before executing appshot-videos or appshot-images.

Architecture

  • Remotion 4.0 + React 18 + Tailwind CSS 3.4
  • Config defines app metadata and brand only — scenes are custom .tsx files, not config entries
  • Each project has an orchestrator component (e.g., FooPreview.tsx) that sequences custom scenes via Remotion <Sequence> + <SceneWrap>
  • All primitives are brand-aware via a brand prop derived from the config's BrandColors

Project Context (auto-injected)

  • Package manifest: !cat package.json 2>/dev/null || cat pubspec.yaml 2>/dev/null || cat app.json 2>/dev/null
  • App colors: !find . -maxdepth 4 \( -name 'colors.xml' -o -name 'Colors.swift' -o -name 'colors.ts' -o -name 'theme.ts' -o -name 'Color.kt' -o -name 'tailwind.config.js' -o -name 'tailwind.config.ts' \) 2>/dev/null | head -5 | xargs head -50 2>/dev/null
  • App icon: !find . -maxdepth 5 \( -name 'ic_launcher.png' -o -name 'icon.png' \) -type f 2>/dev/null | head -3
  • Store metadata: !cat fastlane/metadata/en-US/full_description.txt 2>/dev/null || cat fastlane/metadata/en-US/description.txt 2>/dev/null || cat fastlane/metadata/android/en-US/full_description.txt 2>/dev/null
  • README excerpt: !head -80 README.md 2>/dev/null

Extraction & Context Caching

Both appshot-videos and appshot-images use this extraction process. Results are cached to .appshot-context.json so extraction only runs once per project.

Check for cached context

Before scanning, check if .appshot-context.json exists in the project root. If it does:

  1. Load and present a summary to the user
  2. Ask: "I found a previous extraction. Confirm this is still correct, or re-scan?"
  3. If confirmed, skip extraction and proceed to the calling skill's next phase
  4. If re-scan requested, run extraction below and overwrite the file

Extraction steps

Step 1: Detect framework

Check for marker files in this order. Stop at the first match.

Read the full file on GitHub · 836 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 · 836 lines · 47 tokens per session scan A 670c9af6b724

Subscribe to this mod's changes

appshot-core is a skill published in the GitHub repository trunghaiy/appshot (42 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 10,911 once invoked, about $0.0002 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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