roboflow-inference
Pass
Audited by Gen Agent Trust Hub on Oct 29, 2026
Risk Level: SAFEREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONPRIVILEGE_ESCALATIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill provides instructions for installing the
uvpackage manager using a remote script fromastral.shvia a piped shell command (curl -LsSf https://astral.sh/uv/install.sh | sh). - [COMMAND_EXECUTION]: The documentation details various shell commands for interacting with the Roboflow cloud API and managing local inference servers using the
inference-clitool. - [PRIVILEGE_ESCALATION]: Documentation in
local-tooling.mdsuggests usingsudo systemctl start dockeras a troubleshooting step for the Docker daemon, while explicitly advising that users should be asked for confirmation before performing such operations. - [INDIRECT_PROMPT_INJECTION]: The skill has an inherent surface for indirect prompt injection as it processes and acts upon data returned from external vision models and workflows.
- Ingestion points: Results from
workflows_run,workflow_specs_run, andInferencePipelinecallbacks (located inworkflows.mdandSKILL.md). - Boundary markers: No explicit delimiters or boundary instructions are provided in the documentation to separate model-generated data from agent instructions.
- Capability inventory: The skill documents capabilities for filesystem writes (
Path.write_bytes), network operations (InferenceHTTPClient), and shell execution via theinference-cli(located inworkflows.mdandlocal-tooling.md). - Sanitization: Documentation suggests decoding base64 image data but lacks specific guidance on sanitizing output keys before using them in filesystem paths, representing a potential path traversal risk if processing untrusted workflow definitions.
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