Pydaqua SpaceAutonomySkill

Autonomous space navigation agent using optical quantum kernels for terrain classification.

This skill appears to be a self-contained Python simulation of an optical-quantum terrain classifier and does not attempt network access or request secrets. Before installing, note: (1) the package has no homepage or known publisher — consider the usual caution for unknown sources; (2) the code requires Python and numpy (not declared) so run it in an environment with those installed or in a sandbox; (3) there are small documentation inconsistencies (failsafe threshold and metadata/version strings) — the script enforces 0.85; (4) if you do not want the agent to call skills autonomously, disable model invocation for this skill in your agent settings. If you need stronger assurance, review the included script (scripts/quantum_nav.py) yourself or run it in an isolated environment.

Type: OpenClaw Skill Name: space-autonomy-skill Version: 1.0.0 The skill bundle contains a Python script (`scripts/quantum_nav.py`) that simulates an optical quantum kernel for terrain classification. The script performs purely computational tasks, taking numerical sensor data as input and outputting a decision. It does not engage in file system operations, network communication, shell command execution, or access sensitive environment variables. The `SKILL.md` and `README.md` files provide documentation and instructions without any evidence of prompt injection attempts or malicious directives. The input parsing in the Python script is robust, handling non-float inputs gracefully with error messages and exit, without introducing any command injection vulnerabilities.