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/elasticdotventures/_b00t_/b00t-learnnpx skills add elasticdotventures/_b00t_ --skill b00t-learngit clone --depth 1 https://github.com/elasticdotventures/_b00t_Wrote 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/elasticdotventures/_b00t_/b00t-learn)<a href="https://agentmods.dev/skills/elasticdotventures/_b00t_/b00t-learn"><img src="https://agentmods.dev/badge/skills/elasticdotventures/_b00t_/b00t-learn.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 | $0.00080 | $0.00354 |
| Opus 5 | $0.00040 | $0.00177 |
| Sonnet 5 | $0.00016 | $0.00071 |
| Haiku 4.5 | $0.00008 | $0.00035 |
Grade A, and why
b00t-learn 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 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 · 30 lines · 80 tokens per session scan A 84dc42177a50
b00t-learn is a skill published in the GitHub repository elasticdotventures/_b00t_ (14 stars, last pushed today), with no licence file. It adds 80 tokens to every session and 354 once invoked, about $0.0004 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
performing-cloud-forensics-investigation
Conduct forensic investigations in cloud environments by collecting and analyzing logs, snapshots, and metadata from AWS, Azure, and GCP services.
clinical-q-and-a
快速回答普通教育性医学问题与常见误区。默认用一份国内现行权威指南/共识完成轻量核验并立即作答；不用于个体诊疗、处方剂量、精确推荐定位、药品高风险事实、医保监管或跨版本比较。.
guideline-section-expansion
用户反馈里最常见的两句话是「指南查到了但展不开」和「能不能把指南总结成流程」。本 skill 处理这两件事，并把它们严格限定为学习产物。.
manim-composer
Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization.…
guideline-learning-diagnosis
当用户要求评估自己对某份指南的掌握情况、制定指南学习/备考计划、梳理薄弱章节、 做教育性小测，或学习指南中的诊断标准、鉴别框架和流程关系时使用。 本技能只做学习诊断与诊断标准教学，不对具体患者作疾病诊断、治疗、处方、剂量、 急诊处置或医保报销判断。.
guideline-learning
指南学习流程约束。判断请求类型→读取状态→按流程创建轨道/预览/投递/排查迁移；操作命令与细则见 references/learning-operations.md。选题用权威信源，输出前经 output-format 校验。不生成诊疗/处方/急诊SOP/个体患者建议。.