capx-agentic-robotics
Warn
Audited by Gen Agent Trust Hub on Jul 1, 2026
Risk Level: MEDIUMEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill requires cloning the core framework from an untrusted GitHub repository at
https://github.com/capgym/cap-x.git. This external code is not from a well-known service or trusted organization and serves as the foundation for the skill's operations. - [DYNAMIC_EXECUTION]: The skill's primary architecture, 'Code as Policy', involves the LLM generating Python code that is directly executed on the host system to control robotic hardware. As documented in
references/api-spec.md, theenv.step(code)function compiles and executes arbitrary generated strings, creating a high-risk surface for command execution. - [INDIRECT_PROMPT_INJECTION]: The skill processes perception data (e.g., scene descriptions and object masks) to influence the generation of executable Python code. This creates a vulnerability surface where adversarial inputs in the physical or simulated environment could lead to the generation and execution of malicious code.
- Ingestion points: Visual observations (
obs) and perception microservice outputs (SAM3, Molmo) processed inenv.step(). - Boundary markers: No explicit instruction delimiters or boundary markers are present to prevent the agent from obeying instructions embedded in environment data.
- Capability inventory: Full Python execution capability via the Gymnasium environment wrapper, shell script execution for background services, and network access for microservices.
- Sanitization: No evidence of code sanitization or safety sandboxing for the generated Python scripts before execution.
- [METADATA_POISONING]: The skill's documentation (README.md and SKILL.md) references a research paper with a future-dated identifier (
arXiv:2603.22435), which indicates the use of hallucinated or deceptive metadata to establish false authority. - [COMMAND_EXECUTION]: The skill includes shell scripts (
scripts/setup-perception.shandscripts/run-benchmark.sh) that launch multiple persistent background processes, manage PIDs, and perform system-level CUDA checks, increasing the operational risk for the host environment.
Audit Metadata