技能详情（站内镜像，无评论）
作者：Krishna Aditya @AadiPapp
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 440 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：aadipapp/space-autonomy-skill
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code and instructions are consistent with a local simulated optical-quantum terrain classifier and do not request credentials, perform network exfiltration, or install remote binaries.
目的
Name/description match the included Python simulation (quantum_nav.py). The required resources (none) are proportional to a local simulation. Minor metadata mismatches: registry version/name differ from SKILL.md metadata, but this is cosmetic.
说明范围
Runtime instructions describe running a local simulation and do not direct the agent to read unrelated files, environment variables, or external endpoints. Small inconsistency: SKILL.md text says failsafe below 0.8, README says 0.85 and the code uses 0.85 — behavior is defined by the code (0.85).
安装机制
No install spec; skill is instruction-only with an included Python script. No downloads, remote installers, or archive extraction are present.
证书
Skill requests no environment variables or credentials and the code does not access secrets or external services. It does require a Python runtime and numpy; these are normal for a local simulation but are not declared as required binaries.
持久
always is false and the skill does not modify system or other-skill configuration. disable-model-invocation is default (agent may call it autonomously), which is normal and expected.
综合结论
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 inconsiste…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Pydaqua SpaceAutonomySkill」。简介：Autonomous space navigation agent using optical quantum kernels for terrain cla…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aadipapp/space-autonomy-skill/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: space-autonomy-quantum
description: Autonomous space navigation agent using optical quantum kernels for terrain classification.
author: tempguest
version: 0.1.0
license: MIT
---
# Space Autonomy Quantum Skill
This skill simulates an autonomous agent for space exploration that uses **Optical Quantum Kernels** to classify terrain.
It emphasizes **highest safety** by implementing strict confidence thresholds. If the quantum classifier is uncertain, the agent triggers a failsafe "SAFE MODE".
## Features
- **Quantum Perception**: Uses simulated optical quantum interference to recognize terrain features.
- **Safety Failsafe**: Automatically halts if classification confidence is below 0.8.
- **Autonomous Decision Making**: Decides to "Navigate" or "Avoid" based on quantum kernel results.
## Commands
- `navigate`: Process a sensor reading and decide on an action.