flow-nexus-neural
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFEOBFUSCATIONREMOTE_CODE_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [OBFUSCATION]: The skill utilizes a character substitution technique for documentation and resource URLs, replacing forward slashes with dollar signs (e.g.,
https:/$flow-nexus.ruv.io$docs). This method is designed to prevent standard link-detection filters from identifying the strings as active URLs. - Evidence: Multiple occurrences throughout
SKILL.md, including the Resources, Troubleshooting, and Note sections. - [REMOTE_CODE_EXECUTION]: The skill requires the user to install and run the
flow-nexustool usingnpx, which involves downloading and executing remote code from the NPM registry at runtime. This tool is a core component provided by the author to manage the E2B sandboxes and training clusters. - Evidence:
claude mcp add flow-nexus npx flow-nexus@latest mcp startin the Prerequisites section ofSKILL.md. - [INDIRECT_PROMPT_INJECTION]: The skill demonstrates a vulnerability surface for indirect prompt injection, as it ingests and processes untrusted data and configurations within its training and prediction workflows.
- Ingestion points: External data enters the system through the
custom_configparameter inmcp__flow-nexus__neural_deploy_templateand theinput_dataparameter inmcp__flow-nexus__neural_predict_distributed(found inSKILL.md). - Boundary markers: No explicit markers or instructions are provided to the agent to treat these inputs as data only or to ignore any embedded instructions.
- Capability inventory: The skill has significant capabilities, including deploying worker nodes, managing training clusters, and publishing models, which could be abused if malicious instructions are successfully injected.
- Sanitization: There is no documented validation or sanitization of the input data before it is passed to the underlying Flow Nexus tools.
Audit Metadata