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版本数
在 OpenClaw 中安装
/install quantum-computing
功能描述
Use when the user asks about UnifiedQuantum, uniqc, OriginIR, OpenQASM, circuit building, local simulation, cloud submission, dummy mode, VQE, QAOA, UCCSD, q...
安全使用建议
This skill appears coherent and focused on UnifiedQuantum workflows. Before installing or running anything: review the included scripts (especially scripts/setup_uniqc.sh) yourself; grant permission before the agent performs any package installs or runs the setup script; do not provide cloud tokens unless you intend to submit real jobs (the examples show how tokens are set via uniqc config). If you want the agent to act autonomously with this skill, be aware it may inspect your Python environment and config files to decide next steps — which is expected for this helper. If you need higher assurance, run the setup script in an isolated environment (venv) first and inspect the files locally.
功能分析
Type: OpenClaw Skill
Name: quantum-computing
Version: 1.0.0
The quantum-computing skill bundle is a well-documented set of tools and instructions for the UnifiedQuantum library. It includes environment verification scripts (scripts/setup_uniqc.sh), CLI workflow demonstrations (examples/cli_demo.sh), and several educational examples for quantum algorithms like VQE and QAOA. The SKILL.md file provides safety-conscious instructions for the AI agent, explicitly directing it to seek user consent before performing installations and to avoid silent modifications to the system environment. No indicators of data exfiltration, malicious code execution, or harmful prompt injection were identified.
能力标签
能力评估
Purpose & Capability
The name/description (UnifiedQuantum, uniqc, circuit building, simulation, cloud submission, PyTorch integration) match the provided SKILL.md, examples, references, and setup script. Required env/config paths mentioned (e.g. ~/.uniqc/uniqc.yml, ~/.uniqc/cache/tasks.sqlite) are relevant to the described functionality and not extraneous.
Instruction Scope
SKILL.md gives targeted, practical runtime instructions (how to build/export circuits, prefer OriginIR, how to pick install methods, when to run local simulation vs cloud submission). It explicitly recommends asking users before performing installs and limits actions to the UnifiedQuantum domain. It references local config and a troubleshooting script — appropriate for debugging this toolset.
Install Mechanism
There is no automated install spec; the skill is instruction-only with sample code and a helper script. The only executable provided is a local environment-check script (scripts/setup_uniqc.sh) and example scripts; no network-download/install-from-untrusted-URL steps are embedded.
Credentials
The skill requests no environment variables or credentials. Example code documents how cloud tokens would be configured (via 'uniqc config set ...' and ~/.uniqc/uniqc.yml) — which is proportional and expected for cloud submissions. No unrelated secrets or high-privilege env access is requested.
Persistence & Privilege
Flags show normal privileges (always: false, agent-invocable allowed). The skill does not request permanent presence or attempt to modify other skills or system-wide agent settings. It advises asking user consent before installing into system Python or environments.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install quantum-computing - 安装完成后，直接呼叫该 Skill 的名称或使用
/quantum-computing触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of the UnifiedQuantum skill.
- Provides guidance for building, exporting, and executing quantum circuits using uniqc API and CLI.
- Offers detailed recommendations for environment setup and package installation, including how to select and install extras.
- Distinguishes between core and optional dependencies; clarifies handling of simulation and backend adapters.
- Outlines main CLI commands and best practices for both shell and Python workflows.
- Includes troubleshooting procedures and references for installation issues, configuration, and advanced quantum algorithms.
- Advises on modern approaches for variational algorithms and PyTorch integration.
元数据
常见问题
quantum-computing 是什么？
Use when the user asks about UnifiedQuantum, uniqc, OriginIR, OpenQASM, circuit building, local simulation, cloud submission, dummy mode, VQE, QAOA, UCCSD, q... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 50 次。
如何安装 quantum-computing？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quantum-computing」即可一键安装，无需额外配置。
quantum-computing 是免费的吗？
是的，quantum-computing 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
quantum-computing 支持哪些平台？
quantum-computing 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 quantum-computing？
由 Agony（@agony5757）开发并维护，当前版本 v1.0.0。
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