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/frenzymath/archon/learngit clone --depth 1 https://github.com/frenzymath/ArchonWhat 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 | $0.00008 | $0.03777 |
| Opus 5 | $0.00004 | $0.01888 |
| Sonnet 5 | $0.00002 | $0.00755 |
| Haiku 4.5 | $0.00001 | $0.00378 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lean4 Learn
Interactive teaching and mathlib exploration. Adapts to beginner, intermediate, and expert audiences.
Usage
/lean4:learn # Start conversational discovery
/lean4:learn Finset.sum # Auto-detect mode from topic
/lean4:learn --mode=repo # Explore current project
/lean4:learn --mode=mathlib topology # Navigate mathlib for a topic
/lean4:learn --style=socratic --interactive # True Socratic method
/lean4:learn --style=game --track=nng-like # Game-style natural numbers track
/lean4:learn --source ./paper.pdf # Learn from a paper/PDF
/lean4:learn --presentation=informal "Bolzano-Weierstrass" # Prose, Lean-backed
/lean4:learn --output=scratch # Write results to scratch file
/lean4:learn --style=socratic --adaptive=off # Socratic, no style/level drift
Inputs
| Arg | Required | Default | Description |
|---|---|---|---|
| topic | no | — | Free-text topic, theorem name, file path, or natural-language claim. If omitted, start conversational discovery; set --mode after first user reply. |
| --mode | no | auto |
auto | repo | mathlib |
| --level | no | intermediate |
beginner | intermediate | expert |
| --scope | no | auto |
auto | file | changed | project | topic |
| --style | no | tour |
tour | socratic | exercise | game |
| --output | no | chat |
chat | scratch | file |
| --out | no | — | Output path. Required when --output=file; hard error if missing. |
| --overwrite | no | false |
Allow overwriting existing files with --output=file. Without flag, existing target → hard error. |
| --interactive | no | false |
True Socratic method (withhold answers, ask questions). Valid only with --style=socratic; ignored with warning otherwise. |
| --intent | no | auto |
auto | usage | internals | authoring | math. See learn-pathways.md. |
| --presentation | no | auto |
informal | supporting | formal | auto. Controls user-facing display, not Lean backing. See learn-pathways.md. |
| --verify | no | best-effort |
best-effort | strict. Verification strictness for key claims. See learn-pathways.md. |
| --track | no | — | Exercise ladder: nng-like | set-theory-like | analysis-like | proofs-reintro. Valid only with --style=game. See learn-pathways.md. |
| --source | no | — | File path, URL, or PDF to seed learning. See learn-pathways.md. |
| --adaptive | no | on |
on | off. Controls whether the debate can change style/level. See learn-pathways.md. |
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.
- 2d ago First seen · 179 lines · 8 tokens per session scan A 205bb61f3709
learn is a command published in the GitHub repository frenzymath/Archon (213 stars, last pushed 16d ago), licensed Apache-2.0. It adds 8 tokens to every session and 3,777 once invoked, about $0.0000 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
learn
Interactive teaching and mathlib exploration.
derive
Save a clean reference derivation of a target equation or theorem to derivations/. Draws from course materials (textbook, lecture notes) rather than testing the user.
ds:plan
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flow-nexus-neural
Train and deploy neural networks in distributed sandboxes.
medical-necessity
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OPSX: Onboard
Guided onboarding - walk through a complete OpenSpec workflow cycle with narration.