skills/mukul975/anthropic-cybersecurity-skills/hunting-for-beaconing-with-frequency-analysis/Gen Agent Trust Hub
hunting-for-beaconing-with-frequency-analysis
Pass
Audited by Gen Agent Trust Hub on Apr 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill's scripts and documentation were thoroughly reviewed, and no malicious patterns, obfuscation, or security vulnerabilities were detected.
- [DATA_EXFILTRATION]: The Python scripts (
scripts/agent.py,scripts/process.py) perform local statistical analysis on network logs. They do not initiate unauthorized network connections or attempt to exfiltrate data. - [REMOTE_CODE_EXECUTION]: The skill uses standard Python libraries for processing and does not involve remote code downloads, dynamic execution, or unauthorized package installations.
- [PROMPT_INJECTION]: The provided markdown instructions and metadata do not contain any patterns attempting to override agent behavior or bypass safety constraints.
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted network log data, representing a Category 8 surface. However, it lack functions for executing shell commands or performing network operations based on that data, mitigating injection risks.
- Ingestion points: Network log parsing in
scripts/agent.pyandscripts/process.py. - Boundary markers: None.
- Capability inventory: Limited to local file read/write and mathematical operations; no subprocess or network capabilities.
- Sanitization: Standard type conversion and field mapping during log ingestion.
Audit Metadata