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/taylornpx skills add unitarylab/quantum-practices --skill taylorgit 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/taylor)<a href="https://agentmods.dev/skills/unitarylab/quantum-practices/taylor"><img src="https://agentmods.dev/badge/skills/unitarylab/quantum-practices/taylor.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 | $0.00037 | $0.04671 |
| Opus 5 | $0.00018 | $0.02336 |
| Sonnet 5 | $0.00007 | $0.00934 |
| Haiku 4.5 | $0.00004 | $0.00467 |
Grade A, and why
taylor 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 4d 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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
2 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.
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.
- 4d ago First seen · 366 lines · 37 tokens per session scan A 635197ed2c6f
taylor is a skill published in the GitHub repository unitarylab/quantum-practices (18 stars, last pushed 21d ago), with no licence file. It adds 37 tokens to every session and 4,671 once invoked, about $0.0002 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。.
operations
运营与增长阶段——数据看板、增长动作、反馈渠道、复盘。流水线第 7 阶段，覆盖环节⑪。宣传完成后自动调用。.