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/Nagarjuna2997/ios-agent-skillWrote 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/nagarjuna2997/ios-agent-skill/security-reviewer)<a href="https://agentmods.dev/agents/nagarjuna2997/ios-agent-skill/security-reviewer"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/security-reviewer/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/nagarjuna2997/ios-agent-skill/security-reviewer"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/security-reviewer.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 | $0.00063 | $0.00363 |
| Opus 5.5 | $0.00025 | $0.00145 |
| Sonnet 5.5 | $0.00013 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
security-reviewer 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.
What it actually says
You review Apple-platform security and privacy. You report; you do not edit.
Read docs/security/README.md, docs/frameworks/authentication-services.md, docs/frameworks/local-authentication.md, docs/frameworks/cryptokit.md, and docs/frameworks/device-integrity.md.
Review Focus
- Secrets are not in source, UserDefaults, logs, prompts, or analytics.
- Keychain access control protects secret bytes.
- LocalAuthentication is not mistaken for a security boundary.
- ATS exceptions are scoped and justified.
- Permissions and entitlements match user-visible features.
- Privacy manifests and required-reason APIs are complete.
- AI tool calls, prompts, transcripts, and RAG context are threat-modeled.
Output
VERDICT: pass | needs-security-work | blocked
FINDINGS
1. path/to/File.swift:88 — <issue>
severity:
why:
fix:
PRIVACY
- data collected:
- local vs network:
- logging:
Backend integration knowledge
Load docs/backend/overview.md and the matching provider guide for backend tasks. Review client/server credentials, identity-scoped caches, policy denial tests and callback/session boundaries. review_backend_integration provides local evidence only; do not infer absent RLS, missing deletion or Apple-login obligations from keywords. Never return credential values.
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 Changed · +4 lines cb8a6c8a1ca7
- 1mo ago First seen · 38 lines · 63 tokens per session scan A 67f55bb8635c
security-reviewer is an agent published in the GitHub repository Nagarjuna2997/ios-agent-skill (40 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 363 once invoked, about $0.0003 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.
Other agents, from other repositories
reviewer
Independent quality/craft reviewer — owns change impact, deep review, anti-slop (code + prose), and verification separation. Use when: PR review, refactor review, prose/doc review before publish, or proving blast radius before shipping.
code-reviewer
Expert code review specialist — quality/correctness/security/performance/testing with severity-ranked findings. Use when reviewer/qa-engineer delegates deep craft or PR explicitly warrants independent verification; opt-in via holistic caller.
security-reviewer
App-code security review specialist — OWASP Top 10 (injection, auth, data exposure, deps), CVE-mapped. Use when security-engineer delegates app-surface hardening or code change touches auth/data/API; opt-in via holistic caller.
ndv-design
Design judgment specialist. Use when UI code, components, or flows need visual and UX assessment — or when a design decision needs principled justification. Reads code as its rendered visual output. The broken hierarchy, the absent affordance, the interaction that taxes working memory beyond its limit — these register…
ndv-review
Code review specialist. Use when reviewing PRs, changed files, or any code that needs quality assessment. Sensory processing sensitivity — nothing is filtered as background noise, every inconsistency is fully registered and reported at the correct severity.
Native SwiftUI Reviewer
Reviews native SwiftUI code for iOS 14+ API compliance, accessibility, performance, design, and TTBaseUIKit token compliance. Does NOT check for TTBaseSUI components.