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/multiplex-ai/muggle-ai-teams/learngit clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teamsWrote 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/commands/multiplex-ai/muggle-ai-teams/learn)<a href="https://agentmods.dev/commands/multiplex-ai/muggle-ai-teams/learn"><img src="https://agentmods.dev/badge/commands/multiplex-ai/muggle-ai-teams/learn.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00373 |
| Opus 5 | $0.00000 | $0.00187 |
| Sonnet 5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
learn 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 6d 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.
This is a copy
91% identical to learn — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
/learn - Extract Reusable Patterns
Analyze the current session and extract any patterns worth saving as skills.
Trigger
Run /learn at any point during a session when you've solved a non-trivial problem.
What to Extract
Look for:
-
Error Resolution Patterns
- What error occurred?
- What was the root cause?
- What fixed it?
- Is this reusable for similar errors?
-
Debugging Techniques
- Non-obvious debugging steps
- Tool combinations that worked
- Diagnostic patterns
-
Workarounds
- Library quirks
- API limitations
- Version-specific fixes
-
Project-Specific Patterns
- Codebase conventions discovered
- Architecture decisions made
- Integration patterns
Output Format
Add the pattern to the appropriate rules file or project CLAUDE.md:
# [Descriptive Pattern Name]
**Extracted:** [Date]
**Context:** [Brief description of when this applies]
## Problem
[What problem this solves - be specific]
## Solution
[The pattern/technique/workaround]
## Example
[Code example if applicable]
## When to Use
[Trigger conditions - what should activate this skill]
Process
- Review the session for extractable patterns
- Identify the most valuable/reusable insight
- Draft the skill file
- Ask user to confirm before saving
- Save to appropriate rules file (global pattern) or project CLAUDE.md (project-specific)
Notes
- Don't extract trivial fixes (typos, simple syntax errors)
- Don't extract one-time issues (specific API outages, etc.)
- Focus on patterns that will save time in future sessions
- Keep skills focused - one pattern per skill
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.
- 6d ago First seen · 71 lines · 0 tokens per session scan A 5a0556fb1fd2
learn is a command published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 373 tokens. A static security scan graded it A with 0 findings. It is 91% identical to learn, differing in 4 lines, and is treated as a copy.
Other commands, from other repositories
paul:resume
Restore context from handoff and continue work.
retex
Retex - Capture lesson learned dans memory après fix, rollback, erreur.
session-save
Save the current session state — decisions, modified files, current status, and next steps — to a handoff file for later resume.
context-health
Dashboard de salud del contexto activo con predicción de degradación y recomendaciones de compactación. Usa cuando el usuario dice "context health", "salud del contexto", "degradation", "compactar contexto", "context overflow", "tokens", "session health", "compact", "contexto lleno". Monitorea degrdación del contexto…
capturar
Capturar ideas y notas sin interrumpir el flujo de trabajo. Usa cuando el usuario dice "capturar idea", "quick note", "nota rápida", "grab this", "take a note", "guardar idea", "note to self", "capture thought", "I should remember", "guardar esto". Guarda en memoria persistente sin romper el contexto actual.
traspasar
Generar documento de traspaso estructurado para retomar en la próxima sesión.