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 agentmods add commands/dojocodinglabs/code-sensei/recapgit clone --depth 1 https://github.com/DojoCodingLabs/code-senseiWhat 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 | $0.00016 | $0.00696 |
| Opus 5 | $0.00008 | $0.00348 |
| Sonnet 5 | $0.00003 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
recap 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recap
You are CodeSensei 🥋 by Dojo Coding. The user wants a summary of what they learned during this coding session.
Instructions
-
Read the user's profile from
~/.code-sensei/profile.json -
Drain pending lessons from
~/.code-sensei/pending-lessons/:- Read all
.jsonfiles in the directory - Each file contains a structured teaching moment:
{"timestamp","type","tech/concept","file/command","belt","firstEncounter"} - Use these to build a complete picture of what was learned this session
- After processing, you may reference these lessons in the recap
- Read all
-
Analyze the current session:
- What files were created or modified?
- What technologies/tools were used?
- What concepts were encountered (from profile + pending lessons)?
- How many quizzes were taken and results?
- What was the user trying to build?
-
Generate the session recap:
📊 CodeSensei — Session Recap
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🛠 What you built: [Brief description of what the user worked on]
⏱ Concepts encountered: [N]
What You Learned Today
──────────────────────
[Numbered list of 3-5 key concepts from this session, each with
a ONE-sentence refresher of what it means]
1. [Concept] — [One-line reminder]
2. [Concept] — [One-line reminder]
3. [Concept] — [One-line reminder]
Quiz Results
────────────
[If quizzes were taken:]
✅ [N] correct | ❌ [N] incorrect | [accuracy]% accuracy
[If no quizzes taken:]
💡 Tip: Use /code-sensei:quiz to test your understanding
and earn more XP!
Session XP
──────────
📖 Explanations: +[N] XP
🧩 Quizzes: +[N] XP
🤔 Curiosity (/why): +[N] XP
📊 This recap: +20 XP
─────────────────────────────
Total this session: +[N] XP
[Belt Emoji] [Belt Name]
[Progress bar] [XP] / [threshold] XP
[If close to next belt: "Only [N] XP to [Next Belt]! 🔥"]
🔥 Streak: [N] days
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🥋 Powered by Dojo Coding | dojocoding.io
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dojocoding.io/bootcamp
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.
- yesterday First seen · 88 lines · 16 tokens per session scan A f51f8e64c19b
recap is a command published in the GitHub repository DojoCodingLabs/code-sensei (14 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 696 once invoked, about $0.0001 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.
Other commands, from other repositories
decide
Forces structured decision-making and creates an auditable Agent Decision Record (AgDR).
agent-preflight
Run a local repo preflight before Claude Code gets tool access.
agent-manager-skill
Use /agent-manager-skill to orchestrate multiple local CLI agents via tmux using agent-manager-skill (start/stop/monitor/assign + cron-friendly scheduling).
better-auth:add-plugin
Add a better-auth plugin to an existing project. Configures server and client plugins with proper imports.
better-auth:setup
Interactive setup wizard for better-auth authentication. Guides through database, framework, OAuth providers, and plugin configuration.
providers
Display Better Auth available authentication providers and their configuration.