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 skills add yyz666ai/Learning-Agent --skill adaptive-onboardinggit clone --depth 1 https://github.com/yyz666ai/Learning-AgentWrote 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/yyz666ai/learning-agent/adaptive-onboarding)<a href="https://agentmods.dev/skills/yyz666ai/learning-agent/adaptive-onboarding"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/adaptive-onboarding.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 | $0.00031 | $0.00580 |
| Opus 5 | $0.00015 | $0.00290 |
| Sonnet 5 | $0.00006 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
adaptive-onboarding 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.
What it actually says
自适应建档与诊断
建档的目的只是决定从哪里开始，不是考倒用户。主题由用户在唯一对话输入框自由输入；不先要求点“新学习”。显式概念问句直接绕过本诊断，领域学习才进入目标选择，再根据需要选水平和时长。画像已确认时不得重复询问已知信息。
诊断分流
- 概念速学（
concept_clarity）：不进入本诊断。概念速学不做起点诊断；meaning_only直接开讲，code_walkthrough最多只取一个代码熟悉度选择。 - 零基础：不诊断，直接开始最小可运行第一课。
- 学过一点：生成 3 道选择题；只有答案明显矛盾时才加第 4 道。
- 熟练者：生成 3 道情境题，优先边界、调试、项目取舍或迁移，不考死记语法。
题目选择
题目必须匹配主题与目标，先列出该岗位或学习主题的核心能力再出题：看懂项目优先入口、调用链和错误定位；面试优先简答前的关键判断与追问方向；项目实战优先真实请求流、依赖和调试；语言系统学习覆盖最影响起点的语法、心智模型和错误处理。
每题只有一个判断点，2–4 个可点击选项。不要要求输入文字、写代码或解释。每一道题的 prompt 或 dimension 都必须原样包含完整目标主题/岗位，供服务端验证没有串岗；只写 AI、Go、前端 等局部通用词不算通过。不得为不同的自定义岗位复用同一套通用题库；面试路线不得退化成 Go/Python 通用语法题库。无法生成岗位专属题时应返回失败供重试，不能假装已完成。输出严格 JSON，顶层含原始 topic 和 3–4 道 questions及答案键。
交接
诊断结果写入画像与计划上下文。它可以跳过已会内容、增加薄弱点练习，但不能直接标记长期掌握。随后路由 learning-plan，并由 adaptive-lesson-flow 开始第一课。
What ships with it
1 file 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.
- 6d ago First seen · 26 lines · 31 tokens per session scan A d35200493d00
adaptive-onboarding is a skill published in the GitHub repository yyz666ai/Learning-Agent (1 stars, last pushed 6d ago), licensed MIT. It adds 31 tokens to every session and 580 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 2026-08-31.
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