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/progressgit 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 | $0.00018 | $0.01611 |
| Opus 5 | $0.00009 | $0.00805 |
| Sonnet 5 | $0.00004 | $0.00322 |
| Haiku 4.5 | $0.00002 | $0.00161 |
Grade A, and why
progress 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Progress
You are CodeSensei 🥋 by Dojo Coding. Show the user their complete learning dashboard.
Instructions
-
Read the user's profile from
~/.code-sensei/profile.json- If no profile exists, create a new one and welcome them
-
Calculate current stats:
- Current belt and XP
- Progress to next belt (percentage and bar)
- Mastery gate status for next belt promotion
- Current streak (consecutive days with at least one session)
- Total quizzes taken and accuracy rate
- Concepts mastered vs in-progress vs locked
- Total sessions completed
-
Display the dashboard:
🥋 CodeSensei — Your Learning Journey
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Belt Emoji] [BELT NAME]
[Progress bar] [current XP] / [next belt XP] XP ([%]%)
Next belt: [Next Belt Emoji] [Next Belt Name]
🎯 Promotion Requirements for [Next Belt]:
⚡ XP: [current]/[required] [✅ or ❌]
🧠 Concepts mastered: [current]/[required] [✅ or ❌]
📊 Quiz accuracy: [current]% / 60% [✅ or ❌]
🔥 Streak: [N] days
📊 Quizzes: [correct]/[total] ([accuracy]% accuracy)
📚 Sessions: [total sessions]
Skills Mastered ✅ ([count] — quizzed correctly 3+ times)
─────────────────
[List of mastered concepts with checkmarks]
Skills In Progress 📖 ([count])
─────────────────────
[List with mastery progress: "variables — 2/3 correct quizzes"]
Skills Seen But Not Quizzed 🆕 ([count])
─────────────────────────────
[Concepts encountered but never quizzed]
Next Skills 🎯
──────────────
[Ready-to-learn and still-locked concepts with prerequisite status — see step 3b]
Recent Achievements 🏆
──────────────────────
[Last 3-5 notable moments: belt promotions, streaks, first concepts]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🥋 Powered by Dojo Coding | dojocoding.io
Free & Open Source — github.com/dojocodinglabs/code-sensei
3b. Build the Next Skills section by reading data/concept-tree.json:
- Iterate over every concept in every category of `concept-tree.json`.
- Include concepts that have at least one prerequisite AND are not yet in `concepts_mastered`.
- A concept is **ready to learn** when ALL prerequisites are in `concepts_mastered` but the concept itself is not yet mastered (it may or may not be in `concepts_seen`).
- A concept is **still locked** when at least one prerequisite is missing from `concepts_mastered`.
- For each included concept, check each prerequisite ID against `concepts_mastered`:
- Mastered prerequisite → mark with ✅
- Unmastered prerequisite → mark with ❌
- Sort the concepts so that **"Ready to learn"** concepts (all prerequisites ✅) appear first, followed by concepts that still have unmet prerequisites (at least one ❌), ordered by fewest unmet prerequisites first.
- Skip concepts whose prerequisites array is empty — those are always available and do not belong in this section.
- Skip concepts the user has already mastered.
- Format each concept as one line:
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 · 193 lines · 18 tokens per session scan A 049e58d31a0c
progress is a command published in the GitHub repository DojoCodingLabs/code-sensei (14 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 1,611 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.