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.
npx agentmods add skills/unitarylab/quantum-practices/eigensolversnpx skills add unitarylab/quantum-practices --skill eigensolversgit clone --depth 1 https://github.com/unitarylab/quantum-practicesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/unitarylab/quantum-practices/eigensolvers)<a href="https://agentmods.dev/skills/unitarylab/quantum-practices/eigensolvers"><img src="https://agentmods.dev/badge/skills/unitarylab/quantum-practices/eigensolvers.svg" alt="Measured on agentmods" height="20"></a>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 5.1 | $0.00055 | $0.00653 |
| Opus 5 | $0.00028 | $0.00327 |
| Sonnet 5 | $0.00011 | $0.00131 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
eigensolvers 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 6d ago.
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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
9 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.
- minimum-eigensolvers/numpy-minimum-eigensolver/scripts/algorithm.py 1.4 KB runs code
- minimum-eigensolvers/numpy-minimum-eigensolver/scripts/numpy-minimum-eigensolver_implementation.py 16 KB runs code
- minimum-eigensolvers/numpy-minimum-eigensolver/SKILL.md 11 KB
- numyeigensolver/scripts/algorithm.py 1.1 KB runs code
- numyeigensolver/scripts/numyeigensolver_implementation.py 17 KB runs code
- numyeigensolver/SKILL.md 11 KB
- vqd/scripts/algorithm.py 1.6 KB runs code
- vqd/scripts/vqd_implementation.py 17 KB runs code
- vqd/SKILL.md 13 KB
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.
- 6d ago First seen · 60 lines · 55 tokens per session scan A d63aa51307d5
eigensolvers is a skill published in the GitHub repository unitarylab/quantum-practices (18 stars, last pushed 23d ago), with no licence file. It adds 55 tokens to every session and 653 once invoked, about $0.0003 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.
Other skills, from other repositories
dev-qa
开发与质量阶段——开发实现 + QA 测试 + 安全审计（职责分离）。流水线第 4 阶段，覆盖环节⑤⑥⑦。设计确认后自动调用。.
idea-validation
想法验证阶段——调研市场/竞品/技术可行性，确认想法值不值得做。流水线第 1 阶段，覆盖环节①。用户说出想法后自动调用。.
product-prd
产品定义与需求阶段——产品定位 + PRD 需求文档（每条需求带验收标准）。流水线第 2 阶段，覆盖环节②③。想法验证通过后自动调用。.
design
技术设计阶段——技术选型、架构、任务拆分（每任务带验收标准）。流水线第 3 阶段，覆盖环节④。需求确认后自动调用。.
promotion
宣传与冷启动阶段——默认不生成任何宣传物料，只询问用户要不要做、做什么样的；未获明确答复就直接跳过。流水线第 6 阶段，覆盖环节⑩。部署完成后自动调用。.
iteration
迭代与维护阶段——反馈池、路线图、下一版本计划，完成后回环进入下一轮。流水线第 8 阶段，覆盖环节⑫。运营完成后自动调用。.