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 cyj4578/chen-skillshub --skill chen-python-skillsgit clone --depth 1 https://github.com/cyj4578/chen-skillshubWrote 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/cyj4578/chen-skillshub/chen-python-skills)<a href="https://agentmods.dev/skills/cyj4578/chen-skillshub/chen-python-skills"><img src="https://agentmods.dev/badge/skills/cyj4578/chen-skillshub/chen-python-skills/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cyj4578/chen-skillshub/chen-python-skills"><img src="https://agentmods.dev/badge/skills/cyj4578/chen-skillshub/chen-python-skills.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00169 | $0.00925 |
| Opus 5.5 | $0.00068 | $0.00370 |
| Sonnet 5.5 | $0.00034 | $0.00185 |
| Haiku 4.5 | $0.00017 | $0.00093 |
Grade A, and why
chen-python-skills 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 1mo 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
Python 基础语法库
速查索引
| 主题 | 关键词 | 参考位置 |
|---|---|---|
| 数据类型 | int/float/str/bool/None | REFERENCE.md#数据类型 |
| 字符串操作 | 格式化/切片/方法 | REFERENCE.md#字符串操作 |
| 运算符 | 算术/比较/逻辑/位运算 | REFERENCE.md#运算符 |
| 列表 | 创建/切片/方法/推导式 | REFERENCE.md#列表 |
| 元组 | 创建/解包/不可变 | REFERENCE.md#元组 |
| 字典 | 创建/访问/方法/推导式 | REFERENCE.md#字典 |
| 集合 | 创建/运算/去重 | REFERENCE.md#集合 |
| 条件语句 | if/elif/else/三元表达式 | REFERENCE.md#条件语句 |
| 循环 | for/while/break/continue/else | REFERENCE.md#循环 |
| 函数 | 定义/参数/返回值/作用域 | REFERENCE.md#函数 |
| 高级函数 | lambda/map/filter/reduce | REFERENCE.md#高级函数 |
| 装饰器 | @语法/闭包/带参数装饰器 | REFERENCE.md#装饰器 |
| 生成器与迭代器 | yield/iter/next/生成器表达式 | REFERENCE.md#生成器与迭代器 |
| 面向对象 | 类/实例/继承/多态/封装 | REFERENCE.md#面向对象 |
| 魔术方法 | init/str/repr/运算符重载 | REFERENCE.md#魔术方法 |
| 模块与包 | import/from/as/name/all | REFERENCE.md#模块与包 |
| 文件IO | open/read/write/with/context | REFERENCE.md#文件io |
| 异常处理 | try/except/else/finally/raise | REFERENCE.md#异常处理 |
| 常用内置函数 | len/range/enumerate/zip/sorted | REFERENCE.md#常用内置函数 |
| 常用标准库 | os/sys/json/datetime/collections | REFERENCE.md#常用标准库 |
| 类型提示 | type hints/typing/Union/Optional | REFERENCE.md#类型提示 |
| 推导式 | 列表/字典/集合推导式 | REFERENCE.md#推导式 |
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.
- 1mo ago First seen · 37 lines · 169 tokens per session scan A b60b33bc195e
chen-python-skills is a skill published in the GitHub repository cyj4578/chen-skillshub (13 stars, last pushed 3mo ago), licensed MIT. It adds 169 tokens to every session and 925 once invoked, about $0.0007 per session on Opus 5.5. 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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