Anthropic Cybersecurity Skills is a library of structured cybersecurity procedures for AI agents, covering security domains and mappings to established security frameworks. It is for authorized security analysis, penetration testing, incident response, research, defense, and education across compatible AI platforms. The catalogue entries package parts of this library as agent skills, instructions, or a plugin.
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 mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-ios-app-security-with-objectiongit clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-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/mukul975/anthropic-cybersecurity-skills/analyzing-ios-app-security-with-objection)<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-ios-app-security-with-objection"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-ios-app-security-with-objection/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/mukul975/anthropic-cybersecurity-skills/analyzing-ios-app-security-with-objection"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-ios-app-security-with-objection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 97 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 204 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 98 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 189 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 204 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 101 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00049 | $0.01524 |
| Opus 5 | $0.00024 | $0.00762 |
| Sonnet 5 | $0.00010 | $0.00305 |
| Haiku 4.5 | $0.00005 | $0.00152 |
Grade A, and why
analyzing-ios-app-security-with-objection 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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- analyzing-ios-app-security-with-objection — 100% identical, 0 lines differ
- analyzing-ios-app-security-with-objection — 92% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing iOS App Security with Objection
When to Use
Use this skill when:
- Performing runtime security assessment of iOS applications during authorized penetration tests
- Inspecting iOS keychain, filesystem, and memory for sensitive data exposure
- Bypassing client-side security controls (SSL pinning, jailbreak detection) during security testing
- Evaluating iOS app behavior at runtime without access to source code
Do not use this skill on production devices without explicit authorization -- Objection modifies app runtime behavior and may trigger security monitoring.
Prerequisites
- Python 3.10+ with pip
- Objection installed:
pip install objection - Frida installed:
pip install frida-tools - Target iOS device (jailbroken with Frida server, or non-jailbroken with repackaged IPA)
- For non-jailbroken:
objection patchipato inject Frida gadget into IPA - macOS recommended for iOS testing (Xcode, ideviceinstaller)
- USB connection to target device or network Frida server
Workflow
Step 1: Prepare the Testing Environment
For jailbroken devices:
# Install Frida server on device via Cydia/Sileo
# SSH to device and start Frida server
ssh root@<device_ip> "/usr/sbin/frida-server -D"
# Verify Frida connectivity
frida-ps -U # List processes on USB-connected device
For non-jailbroken devices (authorized testing):
# Patch IPA with Frida gadget
objection patchipa --source target.ipa --codesign-signature "Apple Development: [email protected]"
# Install patched IPA
ideviceinstaller -i target-patched.ipa
Step 2: Attach Objection to Target App
# Attach to running app by bundle ID
objection --gadget "com.target.app" explore
# Or spawn the app fresh
objection --gadget "com.target.app" explore --startup-command "ios hooking list classes"
Once attached, Objection provides an interactive REPL for runtime exploration.
Step 3: Assess Data Storage Security (MASVS-STORAGE)
# Dump iOS Keychain items accessible to the app
ios keychain dump
# List files in app sandbox
ios plist cat Info.plist
env # Show app environment paths
# Inspect NSUserDefaults for sensitive data
ios nsuserdefaults get
# List SQLite databases
sqlite connect app_data.db
sqlite execute query "SELECT * FROM credentials"
# Check for sensitive data in pasteboard
ios pasteboard monitor
What ships with it
7 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.
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.
- 12d ago First seen · 207 lines · 49 tokens per session scan A bab48e7c16fe
analyzing-ios-app-security-with-objection is a skill published in the GitHub repository mukul975/Anthropic-Cybersecurity-Skills (32,541 stars, last pushed 11d ago), licensed Apache-2.0. It adds 49 tokens to every session and 1,524 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 2026-08-30.
Other skills, from other repositories
analyzing-ios-app-security-with-objection
Use when performs runtime mobile security exploration of iOS applications using Objection, a Frida-powered toolkit that enables security testers to interact with app internals without jailbreaking. Use when assessing iOS app security posture, bypassing client-side protections, dumping keychain items, inspecting…
analyzing-ios-app-security-with-objection
Performs runtime mobile security exploration of iOS applications using Objection, a Frida-powered toolkit that enables security testers to interact with app internals without jailbreaking. Use when assessing iOS app security posture, bypassing client-side protections, dumping keychain items, inspecting filesystem…
analyzing-ios-app-security-with-objection
Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.
analyzing-ios-app-security-with-objection
Performs runtime mobile security exploration of iOS applications using Objection, a Frida-powered toolkit that enables security testers to interact with app internals without jailbreaking. Use when assessing iOS app security posture, bypassing client-side protections, dumping keychain items, inspecting filesystem…
analyzing-ios-app-security-with-objection
A security-testing guide for Objection, a tool that lets testers inspect and interact with an iOS app while it is running. It uses Frida and can work with jailbroken devices or specially prepared app packages.
analyzing-ios-app-security-with-objection
Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.