appshot AGENTS.md

Project instructions for Appshot, a tool that creates App Store preview videos for iOS and Android apps by generating custom Remotion scenes that imitate the app's interface. Remotion is a framework for making videos with React components.

In plain words
What is it for?
Scanning a mobile app codebase, planning a video story, and creating custom animated preview scenes for its iOS or Android interface.
Why use it?
They explain the project structure and its animation building blocks so generated scenes match the target mobile app and the repository's conventions.

Instructions file for CodexOpenCode

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/trunghaiy/appshot/agents-md
Clone the repo
git clone --depth 1 https://github.com/trunghaiy/appshot

Made for: Codex, OpenCode.

Per session 942 This file is loaded in full into every session.
When invoked 942 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 $0.00942 $0.00942
Opus 5 $0.00471 $0.00471
Sonnet 5 $0.00188 $0.00188
Haiku 4.5 $0.00094 $0.00094

Measured 3d ago against content hash 0a14a41587c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

appshot 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 3d 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 · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidelines for AI agents working in this repository.

Repository Overview

Appshot generates App Store preview videos for mobile apps. It ships as AI agent skills that scan a target app's codebase, propose a narrative, and write custom Remotion scene components that mock the target app's actual UI. Mobile apps only (iOS/Android).

Architecture

Appshot does NOT use fixed scene templates. The skill writes bespoke .tsx scene files from scratch for every project, using 11 shared animation primitives as building blocks.

Repository Structure

appshot/
├── AGENTS.md                  # This file — agent guidelines
├── CLAUDE.md                  # Claude Code-specific context and pitfalls
├── README.md
├── template/                  # Clean Remotion project — primitives only, NO scene files
│   └── src/components/        # 11 shared animation primitives
├── packages/create-appshot/   # npx create-appshot CLI
├── examples/bookstreak/       # Reference example
└── .claude/skills/            # Agent skills
    ├── appshot-core/          # Primitives catalog, config schema
    ├── appshot-videos/        # Creative director: scans code, writes custom scenes
    ├── appshot-images/        # Screenshot generator
    ├── eval/                  # Evaluation rubric and test scenarios
    └── shared/                # copy-principles.md, extract-app-context.md

Agent Skills Specification

Skills follow the Agent Skills spec.

Required Frontmatter

---
name: skill-name
description: What this skill does and when to use it. Include trigger phrases.
license: MIT
metadata:
  author: kiennguyen
  version: X.0.0
---

Frontmatter Constraints

Field Required Constraints
name Yes 1-64 chars, lowercase a-z, numbers, hyphens. Must match directory name.
description Yes 1-1024 chars. Include trigger phrases.
license No Default: MIT
metadata No Key-value pairs: author, version

Read the full file on GitHub · 115 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. 3d ago First seen · 115 lines · 942 tokens per session scan A 0a14a41587c4

Subscribe to this mod's changes

appshot AGENTS.md is an instructions file published in the GitHub repository trunghaiy/appshot (41 stars, last pushed 2mo ago), licensed MIT. It adds 942 tokens to every session, about $0.0047 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.

Related

Other instructions, from other repositories