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Install in OpenClaw
/install quantum-computing
Description
Use when the user asks about UnifiedQuantum, uniqc, OriginIR, OpenQASM, circuit building, local simulation, cloud submission, dummy mode, VQE, QAOA, UCCSD, q...
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quantum-computing - After installation, invoke the skill by name or use
/quantum-computing - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is quantum-computing?
Use when the user asks about UnifiedQuantum, uniqc, OriginIR, OpenQASM, circuit building, local simulation, cloud submission, dummy mode, VQE, QAOA, UCCSD, q... It is an AI Agent Skill for Claude Code / OpenClaw, with 50 downloads so far.
How do I install quantum-computing?
Run "/install quantum-computing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is quantum-computing free?
Yes, quantum-computing is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does quantum-computing support?
quantum-computing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created quantum-computing?
It is built and maintained by Agony (@agony5757); the current version is v1.0.0.
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