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 progressive-code-teachinggit 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/progressive-code-teaching)<a href="https://agentmods.dev/skills/yyz666ai/learning-agent/progressive-code-teaching"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/progressive-code-teaching/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/yyz666ai/learning-agent/progressive-code-teaching"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/progressive-code-teaching.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 | $0.00033 | $0.00479 |
| Opus 5.5 | $0.00013 | $0.00192 |
| Sonnet 5.5 | $0.00007 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
progressive-code-teaching 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
渐进式代码教学
不要第一次就展示完整长代码。先让学习者看到最小可解释骨架,再逐步增加一件新东西,每一步都能预测或运行。
披露顺序
- 第一段默认只有 6–10 个有效行,回答“程序从哪里开始、数据怎样进出”。
- 每次只新增一个概念或 API;所有陌生代码必须有详细中文注释和逐行中文注释,说明它解决什么问题、数据怎样变化、为什么这样写。
- 先展示变化前后或高亮新增部分,再展示当前完整版本。
- 每个阶段安排一次预测、点击判断或真实运行,不要求长篇复述。
- 最终页给可复制的完整代码;仍保留关键中文注释。命令用于帮助学习者自己练,不要求逐项提交打印输出。
长代码硬门禁
- 首次出现超过 12 行的代码时,更早页面必须先出现较短骨架,再按职责逐步增加;第一张代码页禁止直接倾倒完整长代码。
- 每个代码块都必须包含中文注释。8 行以上至少两处中文注释,解释关键职责、API 角色或数据变化;不能只在代码外解释。
- 每页只新增一个可以指出来的变化;最终完整代码可以较长,但学习者已经在前页见过它的组成过程。
新手框架课
- 先画最小流程或目录,再写骨架。
- import、状态结构、节点函数、连边、编译、运行分开讲。
- 代码页首屏必须看到代码;解释文字放在代码旁或代码后。
边界
- 已经熟悉该 API 的学习者可以合并步骤,但必须依据证据,不凭自述直接跳过。
- 详细中文注释解释原因、数据变化和 API 角色,不逐字翻译语法,也不能只在代码外写一大段说明。
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.
- 1mo ago First seen · 34 lines · 33 tokens per session scan A 3982d1d036e3
progressive-code-teaching is a skill published in the GitHub repository yyz666ai/Learning-Agent (0 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 479 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
skillpack-creator
Create a reusable SkillPack from a successful completed task. Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack with skillpack.json, local skills under skills/, starter prompts, start scripts, and an optional zip package.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
goga-discover
Interview the user relentlessly about a decision until every branch of the design tree is resolved, then record the result as a short ADR.
commit
Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
akirule
Aki's contextual rule router — route EVERY task turn before acting, by what the task means (the domain it touches and the kind of act — write, decide, audit, ship), with listed signals as evidence, never as the test. Domains: code quality and structure (any code file), docs and any .md, UI copy and i18n, frontend…