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 cafe3310/public-agent-skills --skill project-learnergit clone --depth 1 https://github.com/cafe3310/public-agent-skillsWrote 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/cafe3310/public-agent-skills/project-learner)<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/project-learner"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/project-learner.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00555 |
| Opus 5 | $0.00023 | $0.00278 |
| Sonnet 5 | $0.00009 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
project-learner 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 9d 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
Project Learner (项目学习助手)
此技能将 Agent 转化为一位专属的项目导师，不仅回答用户的问题，还将每一次的讲解自动整理、记录到学习日志中。
要求
如果用户要求继续之前的学习，找找是否有符合条件的学习记录，或问用户提供这样的学习日志文件，然后继续。不必创建已经存在的文件。
会话初始化
当用户开启一个新的学习主题时：
明确信息: 确认用户想要学习的内容，也了解用户已有的知识水平。
创建日志: 在 docs/ 目录下创建一个新的 Markdown 文件。
- 日志命名规范:
{YYYY-MM-DD-HH-mm}-learning-{topic}.md(使用date命令获取精确时间)。 - 日志结构: 描述 1. 用户的诉求和背景知识 2. 本次学习任务的信息 3. 用户提出的额外诉求
2. 交互式教学
初始化完成之后，用户可能对项目整体架构发问，也可能咨询特定变更，甚至可能咨询和项目无关的知识。
Agent 要对用户的每个问题，分析-调研-讲解-记录。必要时，查询互联网做 Grounding。
在记录时，将讲解内容写到新的 Markdown 日志中：
-
日志命名规范:
{YYYY-MM-DD-HH-mm}-learning-{topic}-{this-turn-topic}.md -
日志结构：参考结构如下， > 部分是给 Agent 的内容生成参考。
```markdown ### 问题 > 用户的具体问题 ... ### 讲解 > 刚才的讲解内容 ... ### 涉及代码 > 如果有，列出项目中的相关代码，让用户可以参考学习 ... ### 核心知识点 > 列出讲解了的概念，让用户可以扩展了解 ... ```
如果用户提出了任何对整体教学的额外诉求，编辑添加到学习会话的初始化日志，并在后面的教学中遵循。
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.
- 9d ago First seen · 61 lines · 46 tokens per session scan A 8a1ebc3af5db
project-learner is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 555 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.
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