Incident Response Network
LeoYeAI/openclaw-master-skills
Network forensics evidence collection and analysis during security incidents.
Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-mobile-malware-behavior --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-mobile-malware-behavior .claude/skills/detecting-mobile-malware-behavior && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "detecting-mobile-malware-behavior" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-mobile-malware-behavior into .claude/skills/detecting-mobile-malware-behavior/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-mobile-malware-behavior", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-mobile-malware-behaviorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-mobile-malware-behavior --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/detecting-mobile-malware-behavior .agents/skills/detecting-mobile-malware-behavior && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "detecting-mobile-malware-behavior" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-mobile-malware-behavior into .agents/skills/detecting-mobile-malware-behavior/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-mobile-malware-behavior", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-mobile-malware-behavior --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/detecting-mobile-malware-behavior .cursor/skills/detecting-mobile-malware-behavior && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "detecting-mobile-malware-behavior" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-mobile-malware-behavior into .cursor/skills/detecting-mobile-malware-behavior/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-mobile-malware-behavior", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/detecting-mobile-malware-behavior--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-mobile-malware-behavior --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/detecting-mobile-malware-behavior .gemini/skills/detecting-mobile-malware-behavior && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "detecting-mobile-malware-behavior" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-mobile-malware-behavior into .gemini/skills/detecting-mobile-malware-behavior/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-mobile-malware-behavior", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-mobile-malware-behaviorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/detecting-mobile-malware-behavior .github/skills/detecting-mobile-malware-behavior && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "detecting-mobile-malware-behavior" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-mobile-malware-behavior into .github/skills/detecting-mobile-malware-behavior/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-mobile-malware-behavior", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-mobile-malware-behavior --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/detecting-mobile-malware-behavior .opencode/skills/detecting-mobile-malware-behavior && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "detecting-mobile-malware-behavior" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-mobile-malware-behavior into .opencode/skills/detecting-mobile-malware-behavior/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-mobile-malware-behavior", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
detecting-mobile-malware-behaviorDetects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation.
Detecting Mobile Malware Behavior is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation. Use when analyzing suspicious mobile applications for data exfiltration, command-and-control communication, credential stealing, SMS interception, or other malware indicators. Activates for requests involving mobile malware analysis, app behavior monitoring, trojan detection, or suspicious app investigation.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in Security, covering Red teaming and adversary simulation and Reverse engineering and malware. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
virustotal.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
VT_API_KEYAPI_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Detecting Mobile Malware Behavior loads about 2.2k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 389 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 389 words, ~2,192 tokens.
.claude/skills/detecting-mobile-malware-behavior/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Use this skill when:
Do not use this skill to create, enhance, or distribute malware. This skill is for defensive analysis only.
# Hash the sample
sha256sum suspicious.apk
# Check VirusTotal
curl -s "https://www.virustotal.com/api/v3/files/<SHA256>" \
-H "x-apikey: <VT_API_KEY>" | jq '.data.attributes.last_analysis_stats'
# Extract permissions from AndroidManifest.xml
aapt dump permissions suspicious.apk
# High-risk permission combinations:
# READ_SMS + INTERNET = SMS stealer
# RECEIVE_SMS + SEND_SMS = SMS interceptor/banker trojan
# ACCESSIBILITY_SERVICE + INTERNET = overlay attack capability
# CAMERA + RECORD_AUDIO + INTERNET = spyware
# DEVICE_ADMIN + INTERNET = ransomware capability
# READ_CONTACTS + INTERNET = contact exfiltration# Upload to MobSF
curl -F "file=@suspicious.apk" http://localhost:8000/api/v1/upload \
-H "Authorization: <API_KEY>"
# Review malware indicators in report:
# - Hardcoded C2 server addresses
# - Dynamic code loading (DexClassLoader)
# - Reflection-based API calls (to evade static analysis)
# - Encrypted/obfuscated payloads
# - Root detection (malware often checks for root)
# - Anti-emulator checks (malware evades sandbox)# Start packet capture on emulator
tcpdump -i any -w malware_traffic.pcap
# Or use mitmproxy for HTTP/HTTPS
mitmproxy --mode transparent
# Monitor for:
# - DNS lookups to suspicious/newly registered domains
# - Connections to known C2 infrastructure
# - Data exfiltration patterns (large POST requests)
# - Beaconing behavior (regular interval connections)
# - Non-standard ports and protocols
# - Domain Generation Algorithm (DGA) patterns// monitor_malware.js - Comprehensive behavior monitoring
Java.perform(function() {
// Monitor SMS access
var SmsManager = Java.use("android.telephony.SmsManager");
SmsManager.sendTextMessage.overload("java.lang.String", "java.lang.String",
"java.lang.String", "android.app.PendingIntent", "android.app.PendingIntent")
.implementation = function(dest, sc, text, sent, delivery) {
console.log("[SMS] Sending to: " + dest + " Text: " + text);
// Allow or block based on analysis needs
return this.sendTextMessage(dest, sc, text, sent, delivery);
};
// Monitor file operations
var FileOutputStream = Java.use("java.io.FileOutputStream");
FileOutputStream.$init.overload("java.lang.String").implementation = function(path) {
console.log("[FILE-WRITE] " + path);
return this.$init(path);
};
// Monitor network connections
var URL = Java.use("java.net.URL");
URL.openConnection.overload().implementation = function() {
console.log("[NET] " + this.toString());
return this.openConnection();
};
// Monitor dynamic code loading
var DexClassLoader = Java.use("dalvik.system.DexClassLoader");
DexClassLoader.$init.implementation = function(dexPath, optDir, libPath, parent) {
console.log("[DEX-LOAD] Loading: " + dexPath);
return this.$init(dexPath, optDir, libPath, parent);
};
// Monitor command execution
var Runtime = Java.use("java.lang.Runtime");
Runtime.exec.overload("java.lang.String").implementation = function(cmd) {
console.log("[EXEC] " + cmd);
return this.exec(cmd);
};
// Monitor camera/audio access
var Camera = Java.use("android.hardware.Camera");
Camera.open.overload("int").implementation = function(id) {
console.log("[CAMERA] Camera opened: " + id);
return this.open(id);
};
// Monitor content provider access (contacts, call log)
var ContentResolver = Java.use("android.content.ContentResolver");
ContentResolver.query.overload("android.net.Uri", "[Ljava.lang.String;",
"java.lang.String", "[Ljava.lang.String;", "java.lang.String")
.implementation = function(uri, proj, sel, selArgs, sort) {
console.log("[QUERY] " + uri.toString());
return this.query(uri, proj, sel, selArgs, sort);
};
console.log("[*] Malware behavior monitor active");
});Based on observed behaviors, classify the sample:
| Behavior Pattern | Malware Type |
|---|---|
| SMS interception + C2 communication | Banking Trojan |
| Camera/mic access + data upload | Spyware/Stalkerware |
| File encryption + ransom note display | Mobile Ransomware |
| Ad injection + click fraud traffic | Adware |
| Root exploit + persistence | Rootkit |
| Contact harvesting + SMS spam | Worm/SMS Spammer |
| Overlay attacks + credential capture | Credential Stealer |
| Crypto mining network activity | Cryptojacker |
| Term | Definition |
|---|---|
| Dynamic Code Loading | Loading executable code at runtime from external sources, commonly used by malware to evade static analysis |
| C2 Beacon | Regular network check-in from malware to command-and-control server, identifiable by periodic timing patterns |
| DGA | Domain Generation Algorithm creating pseudo-random domain names for resilient C2 infrastructure |
| Overlay Attack | Drawing fake UI over legitimate apps to capture credentials, requiring SYSTEM_ALERT_WINDOW permission |
| Anti-Emulator | Techniques malware uses to detect sandbox/emulator environments and suppress malicious behavior |
© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references, assets) in skills/detecting-mobile-malware-behavior of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Detecting Mobile Malware Behavior next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Detecting Mobile Malware Behavior this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Incident Response NetworkLeoYeAI/openclaw-master-skills | 2.2k | — | ~5k | Automated safety check: Pass | Apache-2.0 | |
| vphone600 Kernel Symbol AnalysisLakr233/vphone-cli | 15k | — | ~530 | Automated safety check: Pass | MIT | |
| Webhome Extension Builderwebhtv/webhtv | 1.7k | — | ~2.8k | Automated safety check: Pass | GPL-3.0 | |
| Reverse Flowlingbol088-spec/reverse-flow-skill | 936 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Website Rebuildboyang-hu/website-rebuild-skill | 1.4k | — | ~6.1k | Automated safety check: Pass | MIT |
LeoYeAI/openclaw-master-skills
Network forensics evidence collection and analysis during security incidents.
Lakr233/vphone-cli
Looks up symbols and addresses in vphone600 release and research kernel datasets, and cross-references XNU source, with findings that separate fact from inference.
webhtv/webhtv
Build, review, debug, reverse-engineer, and package WebHome injected extension scripts for FongMi/WebHome App WebView pages.
lingbol088-spec/reverse-flow-skill
Guided reverse engineering workflow for binaries, firmware, mobile apps, scripts, document samples, protocol captures, and unknown artifacts.
boyang-hu/website-rebuild-skill
1:1 rebuild of award-winning creative websites (WebGL / scroll-animation / portfolio sites).
awarexone/Agentic-Bug-Hunter
Recovers a client-side request signature or anti-bot token just far enough to replay blocked requests in bug bounty testing, starting from a captured packet.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Categories
Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation. Detecting Mobile Malware Behavior is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation.
Detecting Mobile Malware Behavior fits situations like: analyzing suspicious mobile applications for data exfiltration; command-and-control communication; credential stealing; SMS interception.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a claude-code`. Or copy the skill folder (skills/detecting-mobile-malware-behavior in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-mobile-malware-behavior in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a codex`. Or copy the skill folder (skills/detecting-mobile-malware-behavior in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-mobile-malware-behavior in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-mobile-malware-behavior -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-mobile-malware-behavior, .gemini/skills/detecting-mobile-malware-behavior, .github/skills/detecting-mobile-malware-behavior and .opencode/skills/detecting-mobile-malware-behavior in your project.
Going by SKILL.md and its folder, Detecting Mobile Malware Behavior needs Python for the scripts in its folder, the command-line tools its instructions call (curl and jq) and credentials named VT_API_KEY and API_KEY. Our summary lists: Python 3; A credential in VT_API_KEY; A credential in API_KEY.
SKILL.md names 1 domain. In commands or code: virustotal.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Detecting Mobile Malware Behavior is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 934 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Detecting Mobile Malware Behavior: Incident Response Network (LeoYeAI/openclaw-master-skills, 2.2k stars), vphone600 Kernel Symbol Analysis (Lakr233/vphone-cli, 15k stars), Webhome Extension Builder (webhtv/webhtv, 1.7k stars) and Reverse Flow (lingbol088-spec/reverse-flow-skill, 936 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,922 GitHub stars. The repository holds 637 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.