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 Mikaru0Mystic/sectinel --skill analyzing-malware-behavior-with-cuckoo-sandboxgit clone --depth 1 https://github.com/Mikaru0Mystic/sectinelWrote 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/mikaru0mystic/sectinel/analyzing-malware-behavior-with-cuckoo-sandbox)<a href="https://agentmods.dev/skills/mikaru0mystic/sectinel/analyzing-malware-behavior-with-cuckoo-sandbox"><img src="https://agentmods.dev/badge/skills/mikaru0mystic/sectinel/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/mikaru0mystic/sectinel/analyzing-malware-behavior-with-cuckoo-sandbox"><img src="https://agentmods.dev/badge/skills/mikaru0mystic/sectinel/analyzing-malware-behavior-with-cuckoo-sandbox.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 | $0.00078 | $0.02865 |
| Opus 5 | $0.00039 | $0.01432 |
| Sonnet 5 | $0.00016 | $0.00573 |
| Haiku 4.5 | $0.00008 | $0.00286 |
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 11d 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" \ This is a copy
94% identical to analyzing-malware-behavior-with-cuckoo-sandbox — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 298 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.
- 11d ago First seen · 298 lines · 78 tokens per session scan A b33a991fbfd9
analyzing-malware-behavior-with-cuckoo-sandbox is a skill published in the GitHub repository Mikaru0Mystic/sectinel (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 78 tokens to every session and 2,865 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 94% identical to analyzing-malware-behavior-with-cuckoo-sandbox, differing in 15 lines, and is treated as a copy.
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