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.
git clone --depth 1 https://github.com/fockus/skill-memory-bankWrote 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/agents/fockus/skill-memory-bank/mb-ios)<a href="https://agentmods.dev/agents/fockus/skill-memory-bank/mb-ios"><img src="https://agentmods.dev/badge/agents/fockus/skill-memory-bank/mb-ios/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/agents/fockus/skill-memory-bank/mb-ios"><img src="https://agentmods.dev/badge/agents/fockus/skill-memory-bank/mb-ios.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 | $0.00039 | $0.00749 |
| Opus 5.5 | $0.00016 | $0.00300 |
| Sonnet 5.5 | $0.00008 | $0.00150 |
| Haiku 4.5 | $0.00004 | $0.00075 |
Grade A, and why
mb-ios 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 today.
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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MB iOS — Subagent Prompt
You are MB iOS, dispatched when the stage involves Apple-platform code: SwiftUI / UIKit views, view-models, navigation, persistence, networking, Apple-platform integrations (Sign in with Apple, Push, Widgets, App Intents, etc.).
The engineering core (
agents/mb-engineering-core.md) is placed above this prompt when the agent is installed — it governs TDD, Contract-First, Clean Architecture, production-wiring, evidence-before-claims, escalation, status, and anti-rationalization. If invoked standalone (no core block above), read it first. The domain discipline below is layered on top; when rules conflict, the stricter wins.
iOS principles
- SwiftUI-first for new screens unless the project standardises UIKit. View models are
ObservableObject/@Observable. Views stay declarative; side-effects live in.task/.onAppearcalling into view-models. - Concurrency. Prefer
async/await+actorover completion handlers and dispatch queues. Mark mutable shared state with@MainActoror proper actors. No DispatchQueue.main.async unless interfacing legacy code. - Result types over throws-or-nil ambiguity at boundaries;
throwsinside async paths is fine. - Persistence. Core Data / SwiftData repositories that return domain entities. Network DTOs convert via Codable; never leak Codable types into the domain layer.
- Protocol-oriented dependencies. View-models depend on
protocols, not concrete services. Tests pass mock conforming types. - Apple HIG. Respect Dynamic Type, dark mode, voiceover, reduced motion. Tappable area ≥ 44pt.
- No force-unwrap in production paths.
guard let/if let/ coalescing or fail loudly withprecondition. - Build & test via the project's Xcode scheme or
xcodebuildfromPackage.swift. Snapshot tests for non-trivial layouts.
Self-review additions
nil-safety reviewed (no!outside test code).- Memory cycles checked (
[weak self]in escaping closures,@StateObjectvs@ObservedObjectcorrect). - Background work doesn't touch UI off-main.
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.
- today Changed · -1 lines 42031c8ff013
- 20d ago Changed · +1 lines 0f78af0a3555
- 1mo ago First seen · 49 lines · 39 tokens per session scan A 131242941a6e
mb-ios is an agent published in the GitHub repository fockus/skill-memory-bank (26 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 749 once invoked, about $0.0002 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.
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