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 Samurai-goose/SPECTER-The-Illusive-Security-Protocol --skill mobile-security-assessmentgit clone --depth 1 https://github.com/Samurai-goose/SPECTER-The-Illusive-Security-ProtocolWrote 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/samurai-goose/specter-the-illusive-security-protocol/mobile-security-assessment)<a href="https://agentmods.dev/skills/samurai-goose/specter-the-illusive-security-protocol/mobile-security-assessment"><img src="https://agentmods.dev/badge/skills/samurai-goose/specter-the-illusive-security-protocol/mobile-security-assessment/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/samurai-goose/specter-the-illusive-security-protocol/mobile-security-assessment"><img src="https://agentmods.dev/badge/skills/samurai-goose/specter-the-illusive-security-protocol/mobile-security-assessment.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 | $0.00046 | $0.01846 |
| Opus 5 | $0.00023 | $0.00923 |
| Sonnet 5 | $0.00009 | $0.00369 |
| Haiku 4.5 | $0.00005 | $0.00185 |
Grade A, and why
mobile-security-assessment 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 11d 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mobile Security Assessment
Purpose
Perform security assessment of iOS and Android mobile applications. Mobile clients present unique attack surface distinct from web: local data storage, binary reverse engineering, runtime hooking, inter-process communication, certificate pinning, biometric bypass, and platform-specific vulnerabilities. Covers OWASP Mobile Top 10 (2024).
Triggers
- Mobile application (APK/IPA) available for testing
- Mobile source code (Swift, Kotlin, Java, Objective-C) in scope
- API security review identifies mobile client as consumer
- User requests mobile security assessment
- Recon identifies mobile application endpoints
Required Inputs
| Input | Description | Required |
|---|---|---|
governance_context |
Active engagement governance record | Yes |
target_app |
APK, IPA, or mobile source code | Yes |
platform |
iOS, Android, or both | Yes |
app_type |
Native, hybrid (React Native, Flutter, Cordova), or PWA | Auto-detected |
backend_api |
Associated backend API endpoint(s) | Recommended |
test_device |
Device/emulator details for dynamic testing | Recommended |
Workflow
-
Scope Verification — Confirm mobile app is within authorized scope. Verify test device is available.
-
Static Analysis — Binary/Source Review
Android:
- Decompile APK (jadx, apktool, dex2jar)
- Review
AndroidManifest.xml: exported components, permissions, debug flags - Search for hardcoded secrets, API keys, endpoints
- Analyze
SharedPreferences, SQLite usage for sensitive data storage - Check for insecure WebView configurations (
setJavaScriptEnabled,addJavascriptInterface) - Review
network_security_config.xmlfor certificate pinning and cleartext traffic - Check for root detection / tamper detection implementations
- Analyze third-party SDKs and libraries for known CVEs
- Review ProGuard/R8 obfuscation effectiveness
iOS:
- Decrypt and extract IPA (if encrypted)
- Analyze
Info.plist: URL schemes, ATS exceptions, permissions - Search for hardcoded secrets in binary strings (
strings, class-dump) - Review Keychain access groups and data protection classes
- Check for insecure
WKWebView/UIWebViewconfigurations - Analyze App Transport Security (ATS) exceptions
- Review entitlements for excessive capabilities
- Check for jailbreak detection implementations
- Analyze Swift/ObjC code for memory safety issues
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.
- 11d ago First seen · 221 lines · 46 tokens per session scan A be1ebd7e0906
mobile-security-assessment is a skill published in the GitHub repository Samurai-goose/SPECTER-The-Illusive-Security-Protocol (2 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 1,846 once invoked, about $0.0002 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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