dojo-init

An initialization step for Codojo, a guided system for learning a software project. It loads the shared teaching method and then passes control to the stage manager.

In plain words
What is it for?
Use it when starting Codojo for the first time, opening a new session, or checking learning progress.
Why use it?
It restores the learning context at the start of a session so later steps know how the teaching process should work.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/ttguy0707/codojo/dojo-init
Any agent
npx skills add ttguy0707/codojo --skill dojo-init
Clone the repo
git clone --depth 1 https://github.com/ttguy0707/codojo

Made for: Claude Code, Codex.

Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 601 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00127 $0.00601
Opus 5 $0.00063 $0.00300
Sonnet 5 $0.00025 $0.00120
Haiku 4.5 $0.00013 $0.00060

Measured 2d ago against content hash fbd7b2a06603, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dojo-init 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 2d 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.

skills/dojo-init/SKILL.md · 73 lines

What it actually says

dojo-init — 初始化入口

一句话定位:让 AI 读取方法论、恢复学习上下文,是所有 session 的第一步。

触发词

  • dojo init
  • 道场启动
  • 开始学习
  • 启动
  • dojo start

何时使用

  • ✅ 用户首次安装后第一次使用
  • ✅ 新开 session,AI 尚无方法论上下文
  • ✅ 用户想确认当前学习进度

前置条件

  • Codojo skills 已安装
  • _shared/methodology.md 存在(随 skills 一起安装到 skills/_shared/ 下)

工作流

Step 1:读取方法论

必须读取 ../_shared/methodology.md(即 skills/_shared/methodology.md)。

读完后在心中建立完整的四阶段流程理解,但不要向用户输出方法论全文

Step 2:转入 dojo-stage

向用户输出一句确认:

## 🎓 Codojo 已就绪

已读取教学方法论,正在检测学习进度...

然后立即转入 dojo-stage,由 stage 负责检测进度、展示状态、路由到目标 skill。

Gotchas

  • 每个新 session 都应先触发本 skill——推荐说 dojo init,也可以说 道场启动开始学习启动dojo start
  • 不要跳过读取 methodology.md 的步骤,即使你"记得"方法论内容
  • 本 skill 只做读取方法论,不做进度检测、不做路由判断、不做教学/评估/编码
  • 如果找不到 _shared/methodology.md,提示用户可能未正确安装,给出重新安装的命令

产出

  • 无文件产出(纯初始化功能)

输出风格约束

详见共用 reference:../_shared/output-style-guide.md

Changes

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.

  1. 2d ago First seen · 73 lines · 127 tokens per session scan A fbd7b2a06603

Subscribe to this mod's changes

dojo-init is a skill published in the GitHub repository ttguy0707/codojo (56 stars, last pushed 2mo ago), licensed MIT. It adds 127 tokens to every session and 601 once invoked, about $0.0006 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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