Borrowing it
Nothing to install: this file belongs to efremidze/swift-architecture-skill. 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/efremidze/swift-architecture-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/efremidze/swift-architecture-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/efremidze/swift-architecture-skill/agents-md)<a href="https://agentmods.dev/instructions/efremidze/swift-architecture-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/efremidze/swift-architecture-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 5.1 | $0.00987 | $0.00987 |
| Opus 5 | $0.00494 | $0.00494 |
| Sonnet 5 | $0.00197 | $0.00197 |
| Haiku 4.5 | $0.00099 | $0.00099 |
Grade A, and why
swift-architecture-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 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS Guidelines for Swift Architecture Skill
This repository provides an Agent Skill for Swift iOS architecture guidance. It contains architecture playbooks and selection guides to help coding agents provide concrete design and implementation patterns for Swift/SwiftUI/UIKit projects.
Working with This Repository
1. Understanding the Skill
Before making changes:
- Read
swift-architecture-skill/SKILL.mdto understand the overall workflow - The skill acts as a router that selects appropriate architecture playbooks based on user requests
- Each playbook in
references/is a self-contained guide with patterns, anti-patterns, and checklists
2. Modifying Architecture Playbooks
When editing playbooks in swift-architecture-skill/references/:
- Maintain consistent structure: Each playbook should have core concepts, code patterns, anti-patterns, testing strategy, and PR review checklist
- Use modern Swift: All code examples should use Swift concurrency (async/await, actors) and SwiftUI patterns where applicable
- Include complete examples: Code snippets should be runnable and demonstrate the full pattern
- Provide anti-pattern fixes: Show both the wrong way and the correct way with explanations
3. Testing and Validation
This repository contains documentation and skill definitions rather than app code:
- Run automated validation:
python -m skills_ref.cli validate ./swift-architecture-skill - Validate testing snippets:
./tooling/scripts/validate/testing-snippets.sh - Validate testing quality contract:
python3 ./tooling/scripts/validate/testing-quality.py - Run external benchmark suite:
./tooling/scripts/run/benchmarks.py - Validate benchmark architecture coverage:
python3 ./tooling/scripts/validate/benchmark-coverage.py - Run real-world corpus eval:
python3 ./tooling/scripts/run/corpus.py - Validate architecture consistency:
python3 ./tooling/scripts/validate/architecture.py - Check markdown formatting: Ensure all
.mdfiles are properly formatted - Cross-reference consistency: Ensure SKILL.md correctly references all playbooks
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.
- 6d ago First seen · 94 lines · 987 tokens per session scan A f18f2ebbe30b
swift-architecture-skill AGENTS.md is an instructions file published in the GitHub repository efremidze/swift-architecture-skill (69 stars, last pushed 1mo ago), licensed MIT. It adds 987 tokens to every session, about $0.0049 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
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.