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 rusel95/ios-agent-skills --skill ios-securitygit clone --depth 1 https://github.com/rusel95/ios-agent-skillsWrote 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/rusel95/ios-agent-skills/ios-security)<a href="https://agentmods.dev/skills/rusel95/ios-agent-skills/ios-security"><img src="https://agentmods.dev/badge/skills/rusel95/ios-agent-skills/ios-security/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/rusel95/ios-agent-skills/ios-security"><img src="https://agentmods.dev/badge/skills/rusel95/ios-agent-skills/ios-security.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 | $0.00149 | $0.04243 |
| Opus 5 | $0.00075 | $0.02122 |
| Sonnet 5 | $0.00030 | $0.00849 |
| Haiku 4.5 | $0.00015 | $0.00424 |
Grade A, and why
ios-security 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 9d 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS Security Audit
Production-grade security auditing skill for iOS codebases aligned with OWASP MASVS v2.1.0. Operates pattern-first — high-confidence string/regex detection for CRITICAL issues, then semantic reasoning for HIGH/MEDIUM issues requiring data-flow understanding. Covers both Swift and Objective-C with language-appropriate detection strategies.
The audit produces a structured finding report with severity, location, MASVS mapping, risk explanation, and concrete fix. Every finding links to a MASVS control and, where applicable, a MASWE weakness ID.
Audit Scope Overview
MASVS v2.1.0 — 8 Categories, 24 Controls
├── STORAGE (2) — Keychain, Data Protection, leakage vectors
├── CRYPTO (2) — Algorithms, key management, randomness
├── AUTH (3) — Protocol, local auth, step-up
├── NETWORK (2) — ATS/TLS, certificate pinning
├── PLATFORM (3) — URL schemes, WebViews, UI security
├── CODE (4) — Platform version, updates, deps, input validation
├── RESILIENCE (4) — Integrity, tampering, static/dynamic analysis
└── PRIVACY (4) — Minimization, transparency, control, lifecycle
Quick Decision Trees
What severity level applies?
Is the issue exploitable without physical device access?
├── YES → Is sensitive data (credentials, PII, keys) exposed?
│ ├── YES → 🔴 CRITICAL
│ └── NO → 🟡 HIGH
└── NO → Does the issue weaken defense-in-depth?
├── YES → 🟢 MEDIUM
└── NO → 🔵 LOW
Which language audit strategy to apply?
Does the file use Objective-C (.m, .mm, .h with ObjC)?
├── YES → Apply ObjC runtime checks (swizzling, KVC, format strings)
│ AND standard checks → Read references/objc-specific.md
└── NO → Pure Swift?
├── YES → Apply Swift-specific patterns (CryptoKit, actors)
└── NO → Mixed — apply BOTH checklists per file type
Is this an L2/regulated app?
Does the app handle financial, health, government, or payment data?
├── YES → L2 audit: encryption mandatory, pinning required,
│ compliance mapping needed → Read references/compliance-mapping.md
└── NO → Does the app store any PII?
├── YES → L1+ audit: standard + privacy controls
└── NO → L1 audit: standard security controls
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 7.2 KB
- references/appstore-rejections.md 9.4 KB
- references/audit-workflow.md 15 KB
- references/compliance-mapping.md 9.3 KB
- references/critical-patterns.md 10 KB
- references/high-patterns.md 12 KB
- references/masvs-mapping.md 8.4 KB
- references/medium-low-patterns.md 12 KB
- references/objc-specific.md 8.8 KB
- references/plist-audit.md 7.3 KB
- references/rules.md 1.9 KB
- scripts/quick-scan.sh 7.4 KB runs code
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.
- 9d ago First seen · 311 lines · 149 tokens per session scan A 07f08afe7193
ios-security is a skill published in the GitHub repository rusel95/ios-agent-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 149 tokens to every session and 4,243 once invoked, about $0.0007 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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