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 skills add jpavley/meta-loop-ios --skill project-structuregit clone --depth 1 https://github.com/jpavley/meta-loop-iosWrote 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/skills/jpavley/meta-loop-ios/project-structure)<a href="https://agentmods.dev/skills/jpavley/meta-loop-ios/project-structure"><img src="https://agentmods.dev/badge/skills/jpavley/meta-loop-ios/project-structure/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/skills/jpavley/meta-loop-ios/project-structure"><img src="https://agentmods.dev/badge/skills/jpavley/meta-loop-ios/project-structure.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 | $0.00018 | $0.01824 |
| Opus 5.5 | $0.00007 | $0.00730 |
| Sonnet 5.5 | $0.00004 | $0.00365 |
| Haiku 4.5 | $0.00002 | $0.00182 |
Grade A, and why
project-structure 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Structure
How meta-loop artifacts fit into an iOS/SwiftUI Xcode project. Covers directory layout, who creates each file, and what belongs in the Xcode project navigator.
Directory Layout
MyApp/ # Git repo root
├── MyApp.xcodeproj # Xcode project (you create)
├── MyApp/ # Swift source (you + AI create)
│ ├── MyAppApp.swift
│ ├── ContentView.swift
│ └── Views/
│ └── FeatureView.swift
├── MyAppTests/ # Test source (you + AI create)
├── CLAUDE.md # AI agent file (ml-setup creates, you maintain)
├── PROJECT-NOTES.md # Session notes (ml-setup creates, you maintain)
├── PROJECT-TODO.md # Task tracking (ml-setup creates, you maintain)
├── README.md # Project readme (ml-setup creates, you maintain)
├── .claude/ # Claude Code config (install.sh creates)
│ ├── commands/ # Slash commands
│ │ ├── ml-setup.md
│ │ ├── ml-wireframe.md
│ │ ├── ml-spec.md
│ │ ├── ml-impl.md
│ │ └── ml-retain.md
│ ├── skills/ # Reference docs
│ │ ├── meta-loop-methodology/
│ │ │ ├── SKILL.md
│ │ │ └── meta-loop-diagram.png
│ │ ├── wireframe-design/
│ │ │ └── SKILL.md
│ │ ├── view-specifications/
│ │ │ └── SKILL.md
│ │ └── project-structure/
│ │ └── SKILL.md
│ └── settings.json # MCP servers, permissions (you create)
├── specs/ # Specifications (ml-setup creates dir)
│ └── views/ # View specs
│ └── feature-name/ # One directory per feature
│ ├── *-wireframe.png # You create (drawing tool, one or more)
│ ├── about-this-view.md # You create (optional context)
│ ├── spec.md # ml-spec generates
│ └── notes.md # ml-spec generates, you + AI update
├── supporting-docs/ # App-level context (ml-setup creates dir)
│ └── about-this-app.md # You create
└── doc/ # Retained learnings (ml-retain creates dir)
├── SHARED-PATTERNS.md # ml-retain generates (optional)
└── DECISIONS.md # ml-retain generates (optional)
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 · 147 lines · 18 tokens per session scan A 0b686ff5b8c4
project-structure is a skill published in the GitHub repository jpavley/meta-loop-ios (3 stars, last pushed 8mo ago), licensed MIT. It adds 18 tokens to every session and 1,824 once invoked, about $0.0001 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 2026-08-31.
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