Agent skill

Performing Dynamic Analysis With Any Run

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs…

Apache-2.0Auto-check passedSecurity

Install Performing Dynamic Analysis With Any Run

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-dynamic-analysis-with-any-run -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-dynamic-analysis-with-any-run --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performing-dynamic-analysis-with-any-run .claude/skills/performing-dynamic-analysis-with-any-run && rm -rf skills-src

Use ~/.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/

Facts

Skill name
performing-dynamic-analysis-with-any-run
GitHub stars
34k
Token cost
~2.8k tokens
SKILL.md length
588 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs…

  • Works in 6 steps: Configure Analysis Environment → Interact with Malware During Execution → Analyze Process Tree → …
  • A suspicious file
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder; calls curl and jq; reaches api.any.run; needs ANYRUN_API_KEY

What it does

Performing Dynamic Analysis With Any Run is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs, and capture process trees, network traffic, and system changes. Use when a suspicious file or URL needs live, interactive behavioral detonation in a cloud sandbox rather than static analysis alone.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security, covering Reverse engineering and malware and Static analysis and SAST. 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.

When your agent uses it

  • A suspicious file
  • Interactive behavioral detonation in a cloud sandbox rather than static analysis alone

Example prompts

  • “/performing-dynamic-analysis-with-any-run”

Requirements

  • Python 3
  • A credential in ANYRUN_API_KEY

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Configure Analysis Environment
  2. Interact with Malware During Execution
  3. Analyze Process Tree
  4. Review Network Activity
  5. Examine IOCs and Threat Intelligence
  6. Export Analysis Results

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • curl
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.any.run

    Also links to:

    • any.run

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ANYRUN_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Performing Dynamic Analysis With Any Run loads about 2.8k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 588 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 588 words, ~2,760 tokens.

Download SKILL.mdSave it as .claude/skills/performing-dynamic-analysis-with-any-run/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
performing-dynamic-analysis-with-any-run
description
Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs, and capture process trees, network traffic, and system changes. Use when a suspicious file or URL needs live, interactive behavioral detonation in a cloud sandbox rather than static analysis alone.
domain
cybersecurity
subdomain
malware-analysis
tags
malware, dynamic-analysis, sandbox, ANY.RUN, interactive-analysis
version
1.0.0
author
mahipal
license
Apache-2.0
d3fend_techniques
File Metadata Consistency Validation, Application Protocol Command Analysis, Identifier Analysis, Content Format Conversion, Message Analysis
nist_csf
DE.AE-02, RS.AN-03, ID.RA-01, DE.CM-01
mitre_attack
T1027, T1055, T1140, T1497, T1591

Performing Dynamic Analysis with ANY.RUN

When to Use

  • Interactive malware analysis is needed where the analyst must click dialogs, enter credentials, or navigate installer screens
  • Rapid cloud-based sandbox analysis without maintaining local sandbox infrastructure
  • Malware requires user interaction to proceed past anti-sandbox checks (document macros requiring "Enable Content")
  • Sharing analysis results with team members via public or private task URLs
  • Comparing behavior across different OS versions (Windows 7, 10, 11) available in ANY.RUN

Do not use for highly sensitive samples that cannot be uploaded to cloud services; use an on-premises sandbox like Cuckoo instead.

Prerequisites

  • ANY.RUN account (free community tier or paid subscription at https://any.run)
  • Modern web browser with WebSocket support for interactive session streaming
  • Sample file ready for upload (max 100 MB for free tier, 256 MB for paid)
  • Understanding of the sample type to select appropriate execution environment
  • VPN or secure network for accessing ANY.RUN portal during analysis sessions

Workflow

Step 1: Configure Analysis Environment

Set up the ANY.RUN task with appropriate parameters:

ANY.RUN Task Configuration:
━━━━━━━━━━━━━━━━━━━━━━━━━━
OS Selection:        Windows 10 x64 (recommended default)
                     Windows 7 x64 (for legacy malware)
                     Windows 11 x64 (for modern samples)
Execution Time:      60 seconds (default) / 120-300 for slow-acting malware
Network:             Connected (captures real C2 traffic)
                     Residential Proxy (bypasses geo-blocking)
Privacy:             Public (free tier) / Private (paid - not indexed)
MITM Proxy:          Enable for HTTPS traffic decryption
Fake Net:            Enable to simulate internet services if sample checks connectivity

API-based submission (paid tier):

bash
# Submit file via ANY.RUN API
curl -X POST "https://api.any.run/v1/analysis" \
  -H "Authorization: API-Key $ANYRUN_API_KEY" \
  -F "file=@suspect.exe" \
  -F "env_os=windows" \
  -F "env_version=10" \
  -F "env_bitness=64" \
  -F "opt_timeout=120" \
  -F "opt_network_connect=true" \
  -F "opt_privacy_type=bylink"

# Check task status
curl "https://api.any.run/v1/analysis/$TASK_ID" \
  -H "Authorization: API-Key $ANYRUN_API_KEY" | jq '.data.status'
Step 2: Interact with Malware During Execution

Use the interactive session to trigger malware behavior:

Interactive Actions During Analysis:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Document Macros:   Click "Enable Content" / "Enable Editing" when prompted
2. Installer Screens: Click through installation dialogs
3. UAC Prompts:       Click "Yes" to allow elevation (observe privilege escalation)
4. Credential Harvests: Enter fake credentials to observe phishing behavior
5. Browser Redirects:  Navigate to URLs if malware opens browser windows
6. File Dialogs:       Select target files if malware presents file picker
7. Timeout Extension:  Extend analysis time if malware has delayed execution
Step 3: Analyze Process Tree

Review the complete process execution chain:

Process Tree Analysis Points:
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Parent-Child Relationships:
  - WINWORD.EXE -> cmd.exe -> powershell.exe (macro execution chain)
  - explorer.exe -> suspect.exe -> svchost.exe (process injection)

Process Events to Note:
  - Process creation with suspicious command-line arguments
  - PowerShell with encoded commands (-enc / -encodedcommand)
  - cmd.exe executing script files (.bat, .vbs, .js)
  - Legitimate processes spawned from unusual parents
  - Process termination (self-deletion behavior)
Step 4: Review Network Activity

Examine DNS, HTTP/HTTPS, and TCP/UDP connections:

ANY.RUN Network Panel Analysis:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DNS Requests:
  - Domain resolutions with threat intelligence tags
  - Fast-flux or DGA domain patterns
  - DNS over HTTPS (DoH) detection

HTTP/HTTPS Traffic (with MITM enabled):
  - Full request/response bodies for HTTP
  - Decrypted HTTPS traffic showing C2 commands
  - Downloaded payloads and their content types
  - POST data containing exfiltrated information

Connection Map:
  - Geographic visualization of C2 server locations
  - Connection timeline showing beacon patterns
  - Suricata alerts triggered on network traffic
Step 5: Examine IOCs and Threat Intelligence

Extract indicators and map to known threats:

ANY.RUN IOC Categories:
━━━━━━━━━━━━━━━━━━━━━━
Files:       Dropped files with hashes, YARA matches, VirusTotal results
Network:     IPs, domains, URLs contacted during execution
Registry:    Keys created/modified for persistence
Processes:   Suspicious process names and command lines
Mutex:       Named mutexes created (used for single-instance checking)
Signatures:  Suricata rules triggered, behavioral signatures matched

MITRE ATT&CK Mapping:
  - ANY.RUN automatically maps observed behaviors to ATT&CK techniques
  - Review the ATT&CK matrix tab for technique coverage
  - Export ATT&CK Navigator layer for reporting
Step 6: Export Analysis Results

Download comprehensive reports and artifacts:

bash
# Download report via API
curl "https://api.any.run/v1/analysis/$TASK_ID/report" \
  -H "Authorization: API-Key $ANYRUN_API_KEY" \
  -o report.json

# Download PCAP
curl "https://api.any.run/v1/analysis/$TASK_ID/pcap" \
  -H "Authorization: API-Key $ANYRUN_API_KEY" \
  -o capture.pcap

# Download dropped files
curl "https://api.any.run/v1/analysis/$TASK_ID/files" \
  -H "Authorization: API-Key $ANYRUN_API_KEY" \
  -o dropped_files.zip

# Available exports from ANY.RUN web interface:
# - HTML Report (shareable standalone page)
# - PCAP file (network traffic capture)
# - Process dump (memory dumps of processes)
# - Dropped files (all files created during execution)
# - MITRE ATT&CK Navigator JSON
# - IOC export (STIX/JSON/CSV format)

Key Concepts

TermDefinition
Interactive SandboxAnalysis environment allowing real-time analyst interaction with the executing sample, enabling triggering of user-dependent behaviors
MITM ProxyMan-in-the-middle TLS interception in ANY.RUN that decrypts HTTPS traffic for visibility into encrypted C2 communications
Residential ProxyANY.RUN feature routing malware traffic through residential IP addresses to bypass geo-IP and datacenter-IP evasion checks
Suricata AlertsNetwork IDS signatures triggered during execution, providing immediate identification of known malicious traffic patterns
Process TreeHierarchical visualization of parent-child process relationships showing the complete execution chain from initial sample to final payloads
Behavioral TagsANY.RUN classification labels automatically applied based on observed behavior (e.g., "trojan", "stealer", "ransomware")
Show full SKILL.md (252 more words)Show less

Tools & Systems

  • ANY.RUN: Cloud-based interactive malware sandbox providing real-time execution monitoring, process trees, network capture, and MITRE ATT&CK mapping
  • ANY.RUN API: REST API for programmatic sample submission, status checking, and report/artifact retrieval
  • Suricata: Integrated network IDS within ANY.RUN providing signature-based detection of malicious network traffic
  • MITRE ATT&CK Navigator: Framework integration mapping observed malware behaviors to adversary techniques and tactics
  • VirusTotal Integration: Automatic hash lookup of sample and dropped files against VirusTotal detection results

Common Scenarios

Scenario: Analyzing a Macro-Enabled Document Requiring User Interaction

Context: Phishing email contains a .docm file that requires clicking "Enable Content" to trigger the macro payload. Traditional non-interactive sandboxes fail to trigger the malicious behavior.

Approach:

  1. Upload .docm to ANY.RUN with Windows 10 environment and Microsoft Office installed
  2. When Word opens and displays the security banner, click "Enable Content" interactively
  3. Observe the macro execution in the process tree (Word -> cmd.exe -> powershell.exe)
  4. Monitor network panel for PowerShell downloading second-stage payload
  5. If a UAC prompt appears, click "Yes" to allow the payload to observe full behavior chain
  6. Review Suricata alerts for known malware signatures on the downloaded payload
  7. Export IOCs (download URLs, dropped file hashes, C2 domains) for blocking

Pitfalls:

  • Forgetting to enable MITM proxy, resulting in encrypted HTTPS traffic without visibility
  • Using too short an execution timeout for malware with delayed execution or sleep timers
  • Uploading to public analysis when the sample contains sensitive organizational data
  • Not clicking through all prompts; some malware requires multiple user interactions to fully execute

Output Format

ANY.RUN ANALYSIS REPORT
=========================
Task URL:         https://app.any.run/tasks/<task_id>
Sample:           invoice_q3.docm
SHA-256:          e3b0c44298fc1c149afbf4c8996fb924...
Verdict:          MALICIOUS (Score: 95/100)
Family:           Emotet
Tags:             [trojan, banker, spam, macro]

PROCESS TREE
WINWORD.EXE (PID: 2184)
  └── cmd.exe (PID: 3456) "/c powershell -enc JABXAG..."
      └── powershell.exe (PID: 4012)
          └── rundll32.exe (PID: 4568) "C:\Users\...\payload.dll,Control_RunDLL"

NETWORK INDICATORS
DNS:    update.emotet-c2[.]com -> 185.220.101.42
HTTPS:  POST hxxps://185.220.101[.]42/wp-content/gate/ (C2 beacon)
HTTP:   GET hxxp://compromised-site[.]com/invoice.dll (payload download)

SURICATA ALERTS
[1:2028401] ET MALWARE Emotet CnC Beacon
[1:2028402] ET MALWARE Win32/Emotet Activity

MITRE ATT&CK TECHNIQUES
T1566.001  Phishing: Spearphishing Attachment
T1204.002  User Execution: Malicious File
T1059.001  Command and Scripting Interpreter: PowerShell
T1218.011  Rundll32 Execution
T1071.001  Application Layer Protocol: Web Protocols

DROPPED FILES
payload.dll  SHA-256: abc123... Detection: 48/72 (VirusTotal)
config.dat   SHA-256: def456... (encrypted configuration)

© 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

Files

SKILL.md and 3 other files (scripts, references) in skills/performing-dynamic-analysis-with-any-run of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Performing Dynamic Analysis With Any Run 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.

Performing Dynamic Analysis With Any Run compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Performing Dynamic Analysis With Any Run this skillmukul975/Anthropic-Cybersecurity-Skills34k—~2.8kAutomated safety check: PassApache-2.0
Firmware Security ReportsOrbitCurve/firmware-reverse-engineering216—~4.1kAutomated safety check: PassApache-2.0
Firmware Static AnalysisOrbitCurve/firmware-reverse-engineering216—~3.2kAutomated safety check: PassApache-2.0
APK Static Analysisdslsdzc/rev-skills135—~2kAutomated safety check: PassApache-2.0
Binary Reaiskillstore/marketplace4331 repos~2.6kAutomated safety check: PassNone
vphone600 Kernel Symbol AnalysisLakr233/vphone-cli15k—~530Automated safety check: PassMIT

Similar skills

  • Firmware Security Reports

    OrbitCurve/firmware-reverse-engineering

    Evidence-based security report generation for firmware assessments.

    216 GitHub stars~4.1k tokensUpdated 1 mo ago
    SecurityAuto-check passed
  • Firmware Static Analysis

    OrbitCurve/firmware-reverse-engineering

    Systematic static analysis of ELF firmware binaries using command-line tools (file, strings, readelf, objdump, xxd).

    216 GitHub stars~3.2k tokensUpdated 1 mo ago
    SecurityAuto-check passed
  • APK Static Analysis

    dslsdzc/rev-skills

    Guides static analysis of an Android APK with jadx and apktool: reading the manifest, Java code, resources and permissions, and recognizing hardening or obfuscation.

    135 GitHub stars~2k tokensUpdated 5 days ago
    SecurityAuto-check passed
  • Binary Re

    aiskillstore/marketplace

    This skill should be used when analyzing binaries, executables, or bytecode to understand what they do or how they work.

    433 GitHub starsUsed in 1 repo~2.6k tokens
    SecurityAuto-check passed
  • Looks up symbols and addresses in vphone600 release and research kernel datasets, and cross-references XNU source, with findings that separate fact from inference.

    15k GitHub stars~530 tokensUpdated today
    SecurityAuto-check passed
  • Build, review, debug, reverse-engineer, and package WebHome injected extension scripts for FongMi/WebHome App WebView pages.

    1.7k GitHub stars~2.8k tokensUpdated yesterday
    SecurityAuto-check passed

More from mukul975/Anthropic-Cybersecurity-Skills

All 644 skills in this repo
  • Campaign Attribution Evidence Analysis

    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.

    34k GitHub stars~2.3k tokensUpdated 1 mo ago
    Auto-check passed
  • Go Malware Analysis in Ghidra

    mukul975/Anthropic-Cybersecurity-Skills

    Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed
  • LNK and Jump List Forensics

    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.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed
  • Malware Persistence Analysis with Autoruns

    mukul975/Anthropic-Cybersecurity-Skills

    Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.

    34k GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed
  • NTFS MFT Deleted File Recovery

    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.

    34k GitHub stars~2.7k tokensUpdated 1 mo ago
    Auto-check passed
  • Network Covert Channel Analysis

    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.

    34k GitHub stars~2k tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Performing Dynamic Analysis With Any Run

What does Performing Dynamic Analysis With Any Run do?

Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs…. Performing Dynamic Analysis With Any Run is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs, and capture process trees, network traffic, and system changes.

When should I use Performing Dynamic Analysis With Any Run?

Performing Dynamic Analysis With Any Run fits situations like: A suspicious file; interactive behavioral detonation in a cloud sandbox rather than static analysis alone.

How do I install Performing Dynamic Analysis With Any Run in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-dynamic-analysis-with-any-run -a claude-code`. Or copy the skill folder (skills/performing-dynamic-analysis-with-any-run in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-dynamic-analysis-with-any-run in your project. Claude Code loads it when a task matches its description.

How do I install Performing Dynamic Analysis With Any Run in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-dynamic-analysis-with-any-run -a codex`. Or copy the skill folder (skills/performing-dynamic-analysis-with-any-run in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-dynamic-analysis-with-any-run in your project. Codex loads it when a task matches its description.

Can I use Performing Dynamic Analysis With Any Run in Cursor, Gemini CLI or GitHub Copilot?

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 performing-dynamic-analysis-with-any-run -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-dynamic-analysis-with-any-run, .gemini/skills/performing-dynamic-analysis-with-any-run, .github/skills/performing-dynamic-analysis-with-any-run and .opencode/skills/performing-dynamic-analysis-with-any-run in your project.

What does Performing Dynamic Analysis With Any Run need to run?

Going by SKILL.md and its folder, Performing Dynamic Analysis With Any Run needs Python for the scripts in its folder, the command-line tools its instructions call (curl and jq) and credentials named ANYRUN_API_KEY. Our summary lists: Python 3; A credential in ANYRUN_API_KEY.

Does Performing Dynamic Analysis With Any Run access the network?

SKILL.md names 2 domains. In commands or code: api.any.run; the agent is likely to contact it when it follows the instructions. As links in the text: any.run. This is read from the text; nothing was executed.

Is Performing Dynamic Analysis With Any Run safe to install?

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.

What licence does Performing Dynamic Analysis With Any Run use?

Performing Dynamic Analysis With Any Run 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.

How many tokens does Performing Dynamic Analysis With Any Run use?

About 2.8k tokens (SKILL.md is roughly 11k 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 798 tokens, read only when the agent opens those files.

What are the alternatives to Performing Dynamic Analysis With Any Run?

Skills that share tags, products or a category with Performing Dynamic Analysis With Any Run: Firmware Security Reports (OrbitCurve/firmware-reverse-engineering, 216 stars), Firmware Static Analysis (OrbitCurve/firmware-reverse-engineering, 216 stars), APK Static Analysis (dslsdzc/rev-skills, 135 stars) and Binary Re (aiskillstore/marketplace, 433 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performing Dynamic Analysis With Any Run?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 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.