Borrowing it
Nothing to install: this file belongs to trunghaiy/appshot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/trunghaiy/appshot/main/AGENTS.mdgit clone --depth 1 https://github.com/trunghaiy/appshotWrote 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.
[](https://agentmods.dev/instructions/trunghaiy/appshot/agents-md)<a href="https://agentmods.dev/instructions/trunghaiy/appshot/agents-md"><img src="https://agentmods.dev/badge/instructions/trunghaiy/appshot/agents-md/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.
<a href="https://agentmods.dev/instructions/trunghaiy/appshot/agents-md"><img src="https://agentmods.dev/badge/instructions/trunghaiy/appshot/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00942 | $0.00942 |
| Opus 5.5 | $0.00377 | $0.00377 |
| Sonnet 5.5 | $0.00188 | $0.00188 |
| Haiku 4.5 | $0.00094 | $0.00094 |
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 1mo 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.
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).
- Name: Appshot
- GitHub: github.com/trunghaiy/appshot
- Creator: Kian Nguyen
- License: MIT
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 |
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.
- 1mo ago First seen · 115 lines · 942 tokens per session scan A 0a14a41587c4
appshot AGENTS.md is an instructions file published in the GitHub repository trunghaiy/appshot (48 stars, last pushed 4mo ago), licensed MIT. It adds 942 tokens to every session, about $0.0038 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.