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 malware analysis, sandbox detonation, behavioral analysis, or automated malware execution.
76
71%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/analyzing-malware-behavior-with-cuckoo-sandbox/SKILL.mdQuality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that clearly articulates specific capabilities (runtime behavior observation, report generation, IOC extraction), includes natural trigger terms security analysts would use, and explicitly states both what the skill does and when it should activate. The mention of Cuckoo Sandbox specifically and the detailed list of observable behaviors make it highly distinctive.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: executing malware samples, observing process creation, file system modifications, registry changes, network communications, API calls, generating behavioral reports, malware classification, and IOC extraction. | 3 / 3 |
Completeness | Clearly answers both 'what' (executes malware in Cuckoo Sandbox, observes runtime behavior, generates reports) and 'when' ('Activates for requests involving dynamic malware analysis, sandbox detonation, behavioral analysis, or automated malware execution'). | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would say: 'malware', 'Cuckoo Sandbox', 'dynamic malware analysis', 'sandbox detonation', 'behavioral analysis', 'automated malware execution', 'IOC extraction'. These cover the key variations a security analyst would use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: Cuckoo Sandbox-based dynamic malware analysis. The specific tool name and domain (malware detonation/behavioral analysis) make it very unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill excels in actionability with concrete, executable code examples covering the entire Cuckoo Sandbox analysis workflow. However, it is significantly over-verbose, explaining concepts Claude already knows (dynamic analysis, process injection, what Suricata is), and dumps everything into a single monolithic file rather than using progressive disclosure. The workflow lacks explicit validation checkpoints and error recovery steps, which is concerning for a security-sensitive operation.
Suggestions
Remove the Key Concepts table and Tools & Systems section entirely—Claude knows these terms and tools. This alone would save ~30 lines.
Extract the Common Scenarios section, Output Format template, and detailed Python parsing examples into separate referenced files (e.g., SCENARIOS.md, REPORT_FORMAT.md) to keep SKILL.md as a lean overview.
Add explicit validation checkpoints in the workflow: verify VM snapshot integrity before submission, confirm task completed successfully before parsing reports, and validate network isolation before analyzing suspected ransomware.
Add a feedback loop after Step 2: 'If task status is failed or the sample exits within seconds, suspect sandbox evasion—resubmit with anti-evasion packages or extended human interaction simulation.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~200+ lines. The Key Concepts table explains terms like 'Dynamic Analysis' and 'Process Injection' that Claude already knows. The Tools & Systems section describes well-known tools unnecessarily. The When to Use section over-explains obvious use cases. Much of this content could be cut by 50%+ without losing actionable value. | 1 / 3 |
Actionability | The skill provides fully executable bash commands and Python code for every step—submission, monitoring, parsing reports, network analysis, file system review, signature extraction, and memory analysis. All code is copy-paste ready with specific file paths, API endpoints, and data structures. | 3 / 3 |
Workflow Clarity | The 7-step workflow is clearly sequenced and covers the full analysis pipeline. However, there are no explicit validation checkpoints or feedback loops—no step says 'verify the VM snapshot is clean before proceeding' or 'if task status shows failed, check X and retry.' The safety warning about ransomware is mentioned in When to Use but not integrated into the workflow itself. | 2 / 3 |
Progressive Disclosure | This is a monolithic wall of text with no references to external files. The Key Concepts table, Tools & Systems section, Common Scenarios, and detailed Output Format template could all be split into separate reference files. Everything is inlined, making the skill unnecessarily long for the SKILL.md overview. | 1 / 3 |
Total | 7 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
c15f73d
- Reviewed
Table of Contents
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