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/SteveGJones/ai-first-sdlc-practicesWrote 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/plugins/stevegjones/ai-first-sdlc-practices/sdlc-team-ios)<a href="https://agentmods.dev/plugins/stevegjones/ai-first-sdlc-practices/sdlc-team-ios"><img src="https://agentmods.dev/badge/plugins/stevegjones/ai-first-sdlc-practices/sdlc-team-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/plugins/stevegjones/ai-first-sdlc-practices/sdlc-team-ios"><img src="https://agentmods.dev/badge/plugins/stevegjones/ai-first-sdlc-practices/sdlc-team-ios.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
sdlc-team-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 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.
What it actually says
{
"name": "sdlc-team-ios",
"version": "0.4.0",
"description": "iOS/iPadOS development \u2014 Apple HIG design, SwiftUI architecture, release engineering & performance agents, plus TestFlight/App Store release skills and submission pre-flight checks. Install with sdlc-team-mobile.",
"author": {
"name": "SteveGJones"
},
"keywords": [
"sdlc",
"ios",
"ipados",
"apple",
"hig",
"swiftui",
"agents"
]
}
What it installs
The manifest is a name and a version. 5 skills, 4 agents travel with it, and installing the plugin installs all of them — 723 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill ios-testflight-release A 50 tokens
- Skill ios-appstore-submit A 53 tokens
- Skill ios-signing-doctor A 65 tokens
- Skill ios-scaffold A 70 tokens
- Skill ios-ci B 63 tokens
- Agent apple-hig-architect A 115 tokens
- Agent ios-performance-specialist A 114 tokens
- Agent ios-release-engineer A 96 tokens
- Agent swiftui-architect A 97 tokens
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 · 18 lines scan A eef4900c85e3
sdlc-team-ios is a plugin published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.
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