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-malware-behavior-with-cuckoo-sandboxgit 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-malware-behavior-with-cuckoo-sandbox)<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-malware-behavior-with-cuckoo-sandbox"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-malware-behavior-with-cuckoo-sandbox/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-malware-behavior-with-cuckoo-sandbox"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/analyzing-malware-behavior-with-cuckoo-sandbox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00093 | $0.02905 |
| Opus 5 | $0.00046 | $0.01452 |
| Sonnet 5 | $0.00019 | $0.00581 |
| Haiku 4.5 | $0.00009 | $0.00291 |
Grade A, and why
analyzing-malware-behavior-with-cuckoo-sandbox scanned grade A 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -F "[email protected]" -F "timeout=300" -F "machine=win10_x64" \ Copies of this mod
7 near-identical copies found in the catalogue:
- analyzing-malware-behavior-with-cuckoo-sandbox — 100% identical, 0 lines differ
- analyzing-malware-behavior-with-cuckoo-sandbox — 94% identical, 15 lines differ
- analyzing-malware-behavior-with-cuckoo-sandbox — 94% identical, 31 lines differ
- analyzing-malware-behavior-with-cuckoo-sandbox — 94% identical, 31 lines differ
- analyzing-malware-behavior-with-cuckoo-sandbox — 94% identical, 31 lines differ
- analyzing-malware-behavior-with-cuckoo-sandbox — 94% identical, 31 lines differ
- analyzing-malware-behavior-with-cuckoo-sandbox — 91% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Malware Behavior with Cuckoo Sandbox
When to Use
- A suspicious sample passed static analysis triage and requires behavioral observation in a controlled environment
- You need to capture network traffic, file drops, registry modifications, and API calls from a malware execution
- Determining the full infection chain including second-stage payload downloads and persistence mechanisms
- Generating behavioral signatures and YARA rules based on observed runtime activity
- Automated analysis of bulk malware samples requiring consistent reporting
Do not use when the sample is a known ransomware variant that may spread via network shares in a misconfigured sandbox; verify network isolation first.
Prerequisites
- Cuckoo Sandbox 3.x installed on a dedicated analysis server (Ubuntu 22.04 recommended)
- Guest VMs configured with Windows 10/11 snapshots (Cuckoo agent installed, snapshots taken at clean state)
- VirtualBox, KVM, or VMware configured as the Cuckoo virtualization backend
- Isolated network with InetSim or FakeNet-NG for simulating internet services
- Suricata or Snort integrated for network-level signature matching during analysis
- Sufficient disk space for PCAP captures and memory dumps (minimum 500 GB recommended)
Workflow
Step 1: Submit Sample to Cuckoo
Submit the malware sample for automated analysis:
# Submit via command line
cuckoo submit /path/to/suspect.exe
# Submit with specific analysis timeout (300 seconds)
cuckoo submit --timeout 300 /path/to/suspect.exe
# Submit with specific VM and analysis package
cuckoo submit --machine win10_x64 --package exe --timeout 300 /path/to/suspect.exe
# Submit via REST API
curl -F "[email protected]" -F "timeout=300" -F "machine=win10_x64" \
http://localhost:8090/tasks/create/file
# Submit URL for analysis
curl -F "url=http://malicious-site.com/payload" -F "timeout=300" \
http://localhost:8090/tasks/create/url
# Check task status
curl http://localhost:8090/tasks/view/1 | jq '.task.status'
What ships with it
3 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 · 305 lines · 93 tokens per session scan A bc104cd5aa50
analyzing-malware-behavior-with-cuckoo-sandbox is a skill published in the GitHub repository mukul975/Anthropic-Cybersecurity-Skills (32,631 stars, last pushed 11d ago), licensed Apache-2.0. It adds 93 tokens to every session and 2,905 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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-malware-behavior-with-cuckoo-sandbox
Executes malware samples in Cuckoo Sandbox to observe runtime behavior including process creation, file system modifications, registry changes, network communications, and API calls. Generates comprehensive behavioral reports for malware classification and IOC extraction. Activates for requests involving dynamic…
analyzing-malware-behavior-with-cuckoo-sandbox
Executes malware samples in Cuckoo Sandbox to observe runtime behavior including process creation, file system modifications, registry changes, network communications, and API calls. Generates comprehensive behavioral reports for malware classification and IOC extraction. Activates for requests involving dynamic…
analyzing-malware-behavior-with-cuckoo-sandbox
A guide for running suspicious software inside Cuckoo Sandbox, an isolated virtual computer used to observe what malware does while it runs.
analyzing-malware-behavior-with-cuckoo-sandbox
Executes malware samples in Cuckoo Sandbox to observe runtime behavior including process creation, file system modifications, registry changes, network communications, and API calls. Generates comprehensive behavioral reports for malware classification and IOC extraction. Activates for requests involving dynamic…
analyzing-malware-behavior-with-cuckoo-sandbox
Executes malware samples in Cuckoo Sandbox to observe runtime behavior including process creation, file system modifications, registry changes, network communications, and API calls. Generates comprehensive behavioral reports for malware classification and IOC extraction. Activates for requests involving dynamic…
analyzing-malware-behavior-with-cuckoo-sandbox
Executes malware samples in Cuckoo Sandbox to observe runtime behavior including process creation, file system modifications, registry changes, network communications, and API calls. Generates comprehensive behavioral reports for malware classification and IOC extraction. Activates for requests involving dynamic…