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 xtofuub/frida-mcp-server --skill reverse-engineering-ios-app-with-fridagit clone --depth 1 https://github.com/xtofuub/frida-mcp-serverWrote 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/xtofuub/frida-mcp-server/reverse-engineering-ios-app-with-frida)<a href="https://agentmods.dev/skills/xtofuub/frida-mcp-server/reverse-engineering-ios-app-with-frida"><img src="https://agentmods.dev/badge/skills/xtofuub/frida-mcp-server/reverse-engineering-ios-app-with-frida/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/xtofuub/frida-mcp-server/reverse-engineering-ios-app-with-frida"><img src="https://agentmods.dev/badge/skills/xtofuub/frida-mcp-server/reverse-engineering-ios-app-with-frida.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 | $0.00097 | $0.02684 |
| Opus 5 | $0.00048 | $0.01342 |
| Sonnet 5 | $0.00019 | $0.00537 |
| Haiku 4.5 | $0.00010 | $0.00268 |
Grade B, and why
reverse-engineering-ios-app-with-frida scanned grade B with 1 finding 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.
Harvests environment variablesmediumData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
### Step 6: Extract Secrets and Proprietary Data Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reverse Engineering iOS App with Frida
Preferred tooling: the Frida MCP server. When
frida_*tools are available, use them instead of shelling out tofrida/frida-trace. The MCP exposes attach/spawn, UI tree inspection and semantic tap/type/scroll automation, network capture + replay + in-flight interception, automated vulnerability scanning, request fuzzing (SQLi/XSS/IDOR/cmd/NoSQL/traversal/auth-bypass payload sets), keychain, file system, SQLite, ObjC inspection, method tracing, binary decryption (frida-ios-dump style), memory pattern scan, strings extraction, JWT decode, entitlements/URL-scheme/pasteboard/log capture, SSL pinning bypass, jailbreak-detection bypass, and CommonCrypto hooks.Knowledge base for autonomous bug bounty / pentest work:
- references/mcp-integration.md — every tool, with parameters and one-line usage
- references/bugbounty-playbooks.md — 10 end-to-end attack playbooks (recon, auth, IDOR, injection sweep, deep links, secrets, crypto, persistence, interception, anti-tamper)
- references/owasp-mobile-top10.md — M1–M10 mapped to specific tool chains
- references/masvs-checklist.md — MASVS v2 controls with verification commands
- references/workflows.md — original generic Frida workflows
- references/api-reference.md — raw Frida CLI / JS API reference for the escape-hatch cases
When auditing a new target, the agent should run this order: Playbook 1 (recon) → load
owasp-mobile-top10.md→ walk M1-M10 → for each fail, open the matching playbook inbugbounty-playbooks.md.
When to Use
Use this skill when:
- Analyzing iOS app internals during authorized security assessments without source code
- Extracting encryption keys, API secrets, or proprietary protocol details from running iOS apps
- Understanding obfuscated Swift/Objective-C logic through runtime method tracing
- Bypassing complex security mechanisms (jailbreak detection, anti-tampering, anti-debugging)
What ships with it
13 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.
- assets/template.md 1.1 KB
- LICENSE 11 KB
- references/api-reference.md 1.7 KB
- references/bugbounty-playbooks.md 10.0 KB
- references/iap-paywall-testing.md 5.2 KB
- references/masvs-checklist.md 4.2 KB
- references/mcp-integration.md 8.8 KB
- references/owasp-mobile-top10.md 5.7 KB
- references/runtime-logic-hunting.md 4.8 KB
- references/standards.md 1.4 KB
- references/workflows.md 1.7 KB
- scripts/agent.py 5.9 KB runs code
- scripts/process.py 4.0 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 · 264 lines · 97 tokens per session scan B 1900121014f2
reverse-engineering-ios-app-with-frida is a skill published in the GitHub repository xtofuub/frida-mcp-server (2 stars, last pushed 2mo ago), licensed MIT. It adds 97 tokens to every session and 2,684 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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