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.
npx agentmods add instructions/avdlee/swiftui-agent-skill/agents-mdgit clone --depth 1 https://github.com/AvdLee/SwiftUI-Agent-SkillWrote 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/avdlee/swiftui-agent-skill/agents-md)<a href="https://agentmods.dev/instructions/avdlee/swiftui-agent-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/avdlee/swiftui-agent-skill/agents-md.svg" alt="Measured on agentmods" 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 | $0.01170 | $0.01170 |
| Opus 5 | $0.00585 | $0.00585 |
| Sonnet 5 | $0.00234 | $0.00234 |
| Haiku 4.5 | $0.00117 | $0.00117 |
Grade A, and why
SwiftUI-Agent-Skill 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 4d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Guidelines for SwiftUI Expert Skill
This document provides guidance for AI agents working with this skill to ensure consistency and avoid common pitfalls.
Core Principles
1. SwiftUI Focus Only
This is a SwiftUI skill. Do not include:
- Swift concurrency patterns (use
.taskfor SwiftUI-specific needs only) - General Swift language features unrelated to SwiftUI
- Backend or server-side Swift patterns
- UIKit patterns (except when bridging is necessary)
2. No Code Formatting or Linting
Do not include formatting/linting rules. Avoid:
- Property ordering requirements (environment, state, body, etc.)
- Code organization mandates
- Whitespace or indentation rules
- Naming convention enforcement
- File structure requirements
Exception: Mention organization patterns as optional suggestions for readability, never as requirements.
3. No Architectural Opinions
Stick to facts, not architectures. Avoid:
- Enforcing MVVM, MVC, VIPER, or any specific architecture
- Mandating view model patterns
- Requiring specific folder structures
- Dictating dependency injection patterns
- Prescribing router/coordinator patterns
Exception: Suggest separating business logic for testability without enforcing how.
4. Keep Tooling SwiftUI-Specific and Consent-Aware
The skill includes focused Instruments tooling for SwiftUI performance work. Tool-specific instructions are allowed only when they directly support the bundled trace recording and analysis workflows. Do not add unrelated IDE, debugging, build-system, or general command-line guidance.
Agents using the trace tooling must:
- Prefer app-scoped
--attachor--launchrecordings. - Explain the privacy implications and obtain explicit user approval before a system-wide recording.
- Pass
--allow-system-wide-recordingwith--all-processesafter approval. - Avoid exposing environment-variable values or other secrets in output.
- Treat trace files and extracted logs as potentially sensitive user data.
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.
- 4d ago First seen · 151 lines · 1,170 tokens per session scan A 3a91b500561e
SwiftUI-Agent-Skill AGENTS.md is an instructions file published in the GitHub repository AvdLee/SwiftUI-Agent-Skill (3,479 stars, last pushed 22d ago), licensed MIT. It adds 1,170 tokens to every session, about $0.0059 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.
Other instructions, from other repositories
MarkdownView AGENTS.md
Instructions for keitaoouchi/MarkdownView, covering agents, technical components, relationships (data/event flow overview), extension points (overview) and platform / distribution.
Shuttle GEMINI.md
Instructions for grarcht/Shuttle, covering shuttle: context for gemini code assist, what shuttle is, when to recommend shuttle, quick integration reference and 1. add dependencies.
skills copilot-instructions.md
Instructions for dhruvanbhalara/skills, covering project instructions & best practices, core tech stack, coding standards, architecture & data and ui & ux (design system).
swift-architecture-skill AGENTS.md
Instructions for efremidze/swift-architecture-skill, covering agents guidelines for swift architecture skill, working with this repository, 1. understanding the skill, 2. modifying architecture playbooks and 3. testing and validation.
compose-kotlin-agent-skills AGENTS.md
Instructions for haidrrrry/compose-kotlin-agent-skills, covering agents.md — compose-kotlin-agent-skills, build & validation, when you add or remove a skill.md, regenerate the lock file, skill catalog and reference modules (deep dives).
intentflow-ios AGENTS.md
Instructions for emrecanozturk/intentflow-ios, covering agent instructions, read first, architecture rules, commands and token budget.