Qiskit 2.x Quantum ML Reference
aiming-lab/AutoResearchClaw
Reference patterns for writing qiskit 2.x code for variational quantum machine learning: feature maps, VQC training, VQE for chemistry, MPS circuits and noise models.
Build, explain and verify small quantum circuits in Quantum Studio's editable statevector simulator.
Install Quantum
$ npx skills add autonomous-ai/openharness --skill quantum -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness quantum --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/quantum-studio/skills/quantum .claude/skills/quantum && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "quantum" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/quantum-studio/skills/quantum into .claude/skills/quantum/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantum", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/autonomous-ai/openharness/tree/main/store/agents/quantum-studio/skills/quantumType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add autonomous-ai/openharness --skill quantum -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness quantum --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/store/agents/quantum-studio/skills/quantum .agents/skills/quantum && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "quantum" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/quantum-studio/skills/quantum into .agents/skills/quantum/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantum", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill quantum -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness quantum --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/store/agents/quantum-studio/skills/quantum .cursor/skills/quantum && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "quantum" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/quantum-studio/skills/quantum into .cursor/skills/quantum/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantum", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/autonomous-ai/openharness.git --path store/agents/quantum-studio/skills/quantum--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add autonomous-ai/openharness --skill quantum -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness quantum --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/store/agents/quantum-studio/skills/quantum .gemini/skills/quantum && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "quantum" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/quantum-studio/skills/quantum into .gemini/skills/quantum/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantum", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install autonomous-ai/openharness quantumInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add autonomous-ai/openharness --skill quantum -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .github/skills && cp -r skills-src/store/agents/quantum-studio/skills/quantum .github/skills/quantum && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "quantum" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/quantum-studio/skills/quantum into .github/skills/quantum/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantum", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill quantum -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/openharness quantum --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/store/agents/quantum-studio/skills/quantum .opencode/skills/quantum && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "quantum" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/quantum-studio/skills/quantum into .opencode/skills/quantum/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantum", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
quantum- GitHub stars
- 1.1k
- Token cost
- ~601 tokens
- SKILL.md length
- 265 words
- Files
- 9 (incl. scripts)
- Skills in repo
- 99
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build, explain and verify small quantum circuits in Quantum Studio's editable statevector simulator.
- Tasks that involve Quantum computing
- Runs JavaScript and Shell scripts from its folder; calls node and sh
What it does
Quantum is an agent skill from autonomous-ai/openharness. Build, explain and verify small quantum circuits in Quantum Studio's editable statevector simulator.
Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts (for example `scripts/build-quantum.sh` and `scripts/studio.js`).
It sits in Research & Science, covering Quantum computing. The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.
When your agent uses it
- Tasks that involve Quantum computing
Example prompts
- “/quantum”
Requirements
- Node.js
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 54a1f1b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 8 files in scripts/ (JavaScript and Shell), which the agent can run.
Shell commands in SKILL.md call:
nodesh
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Quantum loads about 601 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 265 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from autonomous-ai/openharness at commit 54a1f1b, republished under its MIT licence (© autonomous-ai). 265 words, ~601 tokens.
Download SKILL.mdSave it as
.claude/skills/quantum/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- quantum
- description
- Build, explain and verify small quantum circuits in Quantum Studio's editable statevector simulator.
Quantum Studio
The saved source is circuit.json:
{"name":"Bell state","qubits":["q0","q1"],"gates":[{"gate":"H","target":0},{"gate":"CX","control":0,"target":1}],"shots":1024}Limits: 1–8 uniquely named qubits, 256 gates, 1–100,000 shots. Gates apply in array order.
Targets and controls are zero-based. The basis is |q(n−1)…q1q0⟩: qubit 0 is the rightmost bit.
Supported gates: H, X, Y, Z, S, T, SDG, TDG, RX, RY, RZ, CX (alias CNOT), CZ, SWAP.
Rotations use theta in radians in JSON; the UI slider displays degrees. Two-qubit gates require
distinct control and target. Arbitrary matrices and mid-circuit measurements are not supported.
Terminal measure markers may be present, but the displayed state is premeasurement. The shot
sampler draws computational-basis outcomes from the joint Born probabilities, without collapse,
noise, hardware jobs or persistent quantum state.
Bloch vectors are reduced single-qubit expectations. A Bell pair has individually maximally mixed qubits (purity 0.5), not unit vectors. Preserve their lengths; do not normalize them for display.
Build and prove
sh "$QUANTUM_SKILLS/quantum/scripts/build-quantum.sh"
node "$QUANTUM_SKILLS/quantum/scripts/proof.mjs" circuit.json
node "$QUANTUM_SKILLS/quantum/scripts/screenshot.mjs" "$HARNESS_WORKSPACE/index.html"
node "$QUANTUM_SKILLS/quantum/scripts/perf.mjs" "$HARNESS_WORKSPACE/index.html"Build validates the schema and finite normalized state, safely embeds JSON, and updates the verdict.
Failures clear readiness even if an older HTML export remains. Add assertions for the expected state,
not just its norm. engine.mjs exports simulate, probabilities, bloch and sampleShots for tests.
The browser proof also needs Playwright + Chromium (shared viewer installation or PLAYWRIGHT_MODULE)
and a current proof.json interaction recipe. It checks actual results, records errors/hashes and
captures .harness/last.png. Inspect the image, stepping, edits, undo/redo and narrow layout.
The user can edit gates, scrub the timeline, change rotation phase and sample shots directly. Those edits stay in browser memory. Download the circuit and save it to the workspace to preserve it; never imply the viewer wrote back to disk.
© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (scripts) in store/agents/quantum-studio/skills/quantum of autonomous-ai/openharness.
- SKILL.md
- scripts/build-quantum.sh
- scripts/build.mjs
- scripts/engine.mjs
- scripts/perf.mjs
- scripts/proof.mjs
- scripts/screenshot.mjs
- scripts/studio.html
- scripts/studio.js
Open the folder on GitHubat commit 54a1f1b
Compare with similar skills
Quantum next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Quantum this skillautonomous-ai/openharness | 1.1k | — | ~601 | Automated safety check: Pass | MIT | |
| Qiskit 2.x Quantum ML Referenceaiming-lab/AutoResearchClaw | 15k | — | ~4.7k | Automated safety check: Pass | MIT | |
| QutipzLanqing/codex-claude-academic-skills | 4.6k | 9 repos | ~2.3k | Automated safety check: Pass | BSD-3-Clause | |
| Mindquantummindspore-ai/mindquantum | 101 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Mq Circuit Compilermindspore-ai/mindquantum | 101 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Cirqdavila7/claude-code-templates | 32k | 12 repos | ~2.7k | Automated safety check: Pass | MIT |
Similar skills
Qutip
zLanqing/codex-claude-academic-skills
Quantum physics simulation library for open quantum systems.
Mindquantum
mindspore-ai/mindquantum
Build, simulate, and analyze quantum circuits with MindQuantum.
Mq Circuit Compiler
mindspore-ai/mindquantum
Compile and optimize quantum circuits for hardware execution using MindQuantum's compiler pipeline.
Cirq
davila7/claude-code-templates
Quantum computing framework for building, simulating, optimizing, and executing quantum circuits.
Qiskit
davila7/claude-code-templates
Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits.
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Related
Categories
Questions about Quantum
What does Quantum do?
Build, explain and verify small quantum circuits in Quantum Studio's editable statevector simulator. Quantum is an agent skill from autonomous-ai/openharness. Build, explain and verify small quantum circuits in Quantum Studio's editable statevector simulator.
When should I use Quantum?
Quantum fits situations like: tasks that involve Quantum computing.
How do I install Quantum in Claude Code?
Run `npx skills add autonomous-ai/openharness --skill quantum -a claude-code`. Or copy the skill folder (store/agents/quantum-studio/skills/quantum in autonomous-ai/openharness) into .claude/skills/quantum in your project. Claude Code loads it when a task matches its description.
How do I install Quantum in Codex?
Run `npx skills add autonomous-ai/openharness --skill quantum -a codex`. Or copy the skill folder (store/agents/quantum-studio/skills/quantum in autonomous-ai/openharness) into .agents/skills/quantum in your project. Codex loads it when a task matches its description.
Can I use Quantum in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add autonomous-ai/openharness --skill quantum -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quantum, .gemini/skills/quantum, .github/skills/quantum and .opencode/skills/quantum in your project.
What does Quantum need to run?
Going by SKILL.md and its folder, Quantum needs JavaScript and a shell for the scripts in its folder and the command-line tools its instructions call (node and sh). Our summary lists: Node.js; A Bash shell.
Does Quantum access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Quantum safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Quantum use?
Quantum is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Quantum use?
About 601 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Quantum?
Skills that share tags, products or a category with Quantum: Qiskit 2.x Quantum ML Reference (aiming-lab/AutoResearchClaw, 15k stars), Qutip (zLanqing/codex-claude-academic-skills, 4.6k stars), Mindquantum (mindspore-ai/mindquantum, 101 stars) and Mq Circuit Compiler (mindspore-ai/mindquantum, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Quantum?
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,137 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 7, 2026.
Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.