An index of quantum-computing algorithms, centered on implementations from UnitaryLab and including selected tools from Qiskit, PennyLane, and Classiq. It covers topics such as cryptography, simulations, machine learning, and error correction.

Use it to locate quantum algorithms for tasks such as simulating physical systems, solving linear equations, training quantum machine-learning models, finding eigenvalues, calculating gradients, or correcting errors.

It helps you find the relevant quantum algorithm area without searching through separate implementations or packages.

algorithms — Skill by unitarylab

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/unitarylab/quantum-practices/algorithms

Any agent

npx skills add unitarylab/quantum-practices --skill algorithms

Clone the repo

git clone --depth 1 https://github.com/unitarylab/quantum-practices

Made for: Claude Code, Codex.

Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 944 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin unknown No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00090	$0.00944
Opus 5	$0.00045	$0.00472
Sonnet 5	$0.00018	$0.00189
Haiku 4.5	$0.00009	$0.00094

Measured 2d ago against content hash ffc7f8051463, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

algorithms scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 38 executable files (cryptography/discretelog/scripts/algorithm.py, cryptography/discretelog/scripts/discretelog_implementation.py, cryptography/shor/scripts/algorithm.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

algorithms/SKILL.md · 87 lines

The source is not reproduced here

No licence file

Read it on GitHub

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago First seen · 87 lines · 90 tokens per session scan A ffc7f8051463

Subscribe to this mod's changes

algorithms is a skill published in the GitHub repository unitarylab/quantum-practices (18 stars, last pushed 18d ago), with no licence file. It adds 90 tokens to every session and 944 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI Productivity agent-skills deepseek-harness dsh-plugin dsh-plugins quantum-algorithms quantum-computing

algorithms

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

The source is not reproduced here

No licence file

What ships with it

What this file has done since we first saw it

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