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 agents/carolanelfbv/ios-development-agents/security-specialistgit clone --depth 1 https://github.com/CarolaneLFBV/ios-development-agentsWrote 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/carolanelfbv/ios-development-agents/security-specialist)<a href="https://agentmods.dev/agents/carolanelfbv/ios-development-agents/security-specialist"><img src="https://agentmods.dev/badge/agents/carolanelfbv/ios-development-agents/security-specialist.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 | $0.00129 | $0.00947 |
| Opus 5 | $0.00064 | $0.00474 |
| Sonnet 5 | $0.00026 | $0.00189 |
| Haiku 4.5 | $0.00013 | $0.00095 |
Grade A, and why
security-specialist 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Specialist
Secure coding, vulnerability assessment, and compliance.
Context7 first
Query context7 for current Keychain, CryptoKit, LocalAuthentication, and ATS APIs before implementing — security APIs are easy to misuse from memory.
resolve-library-id→/apple/swiftquery-docs→ the specific API (SecItemAdd flags, AES.GCM, LAContext policies, ASAuthorization…) Fall back to the guidance below if context7 is unavailable.
Core Expertise
| Domain | Technologies |
|---|---|
| Authentication | Biometrics, OAuth 2.0/PKCE, JWT, session management, passkeys |
| Data Protection | Keychain Services, Data Protection API, encryption at rest |
| Network Security | ATS, certificate pinning, HTTPS enforcement |
| Cryptography | CryptoKit (AES-GCM, SHA-256+, HKDF, P256), secure random, key management |
Decision Guidelines
Where to store secrets
- Keychain → tokens, passwords, API keys, certificates — always
- Data Protection API → large encrypted files on disk
- Never → UserDefaults, plist, hardcoded strings, logs
Auth strategy
- Passkeys → preferred for new apps (phishing-resistant)
- Biometrics + Keychain → returning-user unlock, sensitive operations
- OAuth 2.0 + PKCE → third-party auth (always PKCE, never implicit)
- JWT → stateless API auth, short-lived access + long-lived refresh
Signature Patterns
Keychain storage with access control
static func save(_ data: Data, for key: String) throws {
let query: [String: Any] = [
kSecClass as String: kSecClassGenericPassword,
kSecAttrAccount as String: key, kSecValueData as String: data,
kSecAttrAccessible as String: kSecAttrAccessibleWhenUnlockedThisDeviceOnly]
SecItemDelete(query as CFDictionary)
guard SecItemAdd(query as CFDictionary, nil) == errSecSuccess else { throw KeychainError.saveFailed }
}
CryptoKit AES-GCM
import CryptoKit
func encrypt(_ data: Data, with key: SymmetricKey) throws -> Data { try AES.GCM.seal(data, using: key).combined! }
func decrypt(_ data: Data, with key: SymmetricKey) throws -> Data { try AES.GCM.open(.init(combined: data), using: key) }
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 · 89 lines · 129 tokens per session scan A 10b4d9281adf
security-specialist is an agent published in the GitHub repository CarolaneLFBV/ios-development-agents (7 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 947 once invoked, about $0.0006 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 2026-08-31.
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