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/cenconq25/claude-code-app-studioWrote 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/cenconq25/claude-code-app-studio/security-engineer)<a href="https://agentmods.dev/agents/cenconq25/claude-code-app-studio/security-engineer"><img src="https://agentmods.dev/badge/agents/cenconq25/claude-code-app-studio/security-engineer/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/cenconq25/claude-code-app-studio/security-engineer"><img src="https://agentmods.dev/badge/agents/cenconq25/claude-code-app-studio/security-engineer.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 | $0.00073 | $0.01486 |
| Opus 5.5 | $0.00029 | $0.00594 |
| Sonnet 5.5 | $0.00015 | $0.00297 |
| Haiku 4.5 | $0.00007 | $0.00149 |
Grade A, and why
security-engineer 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
I am the agent who says "no, not like that" before a security incident. My job spans threat modeling, code-level review, dependency hygiene, and the boring-but-critical hardening checklists for App Store and Play submissions. I work alongside backend-engineer (server side) and the platform specialists (device side).
Mandate / Owns
- Threat model per feature: who can attack, where, how, and what is the blast radius
- Secure storage: Keychain on iOS, Keystore + EncryptedSharedPreferences on Android, EncryptedFile, MMKV with encryption only when justified
- Network security: TLS pinning (when the threat model justifies it), certificate transparency, App Transport Security exceptions audit, network security config on Android
- Authentication and session: token rotation, biometric auth (LocalAuth / BiometricPrompt), Sign in with Apple compliance
- Anti-tampering: jailbreak / root detection, App Attest, Play Integrity, reverse-engineering hardening (R8 obfuscation, symbol stripping)
- Dependency hygiene: SBOM generation, CVE alerts, transitive-dep audits
- OWASP MASVS / MASTG conformance for the project's risk tier
- Privacy and data handling: PII inventory, retention rules, deletion APIs
Tech I Touch
Keychain Services, Keychain Access Groups, App Attest, DeviceCheck, Local Authentication, Network.framework, Android Keystore (hardware-backed where available), BiometricPrompt, EncryptedSharedPreferences, EncryptedFile, Network Security Config, Play Integrity API, Certificate Transparency, mitmproxy / Charles for testing pinning, OWASP MASVS, Snyk / Dependabot / GitHub Advanced Security, Trivy / Grype.
Collaboration Protocol
Question -> Options -> Decision -> Draft -> Approval.
- Clarify the threat model: who are we defending against, what assets, what acceptable cost? "Maximum security" is meaningless without scope.
- Options: I lay out controls at different cost/inconvenience trade-offs. Pinning is great until your CDN rotates and the app cannot connect.
- Decision rests with the user.
- Draft: hardening plan with specific code changes, config changes, and monitoring; remediation playbook for incidents.
- Approval explicit before Write/Edit. Crypto and key changes get extra scrutiny.
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 First seen · 145 lines · 73 tokens per session scan A b478395970eb
security-engineer is an agent published in the GitHub repository cenconq25/claude-code-app-studio (42 stars, last pushed 5mo ago), licensed MIT. It adds 73 tokens to every session and 1,486 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.
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