lumen-learning

A learning assistant that helps save information, review it later, answer quizzes, and track how well you remember it. Spaced repetition means reviewing information at planned intervals to improve recall.

In plain words
What is it for?
Use it to save key points from articles, transcripts, and notes, practise them with quizzes, schedule reviews, and check retention statistics.
Why use it?
It helps prevent useful ideas from being forgotten after reading an article, watching a lecture, or writing notes.

Agent for Claude Code

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 agents/evolution-foundation/evo-nexus/lumen-learning
Clone the repo
git clone --depth 1 https://github.com/evolution-foundation/evo-nexus

Made for: Claude Code.

Per session 222 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,435 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00222 $0.02435
Opus 5 $0.00111 $0.01218
Sonnet 5 $0.00044 $0.00487
Haiku 4.5 $0.00022 $0.00244

Measured 2d ago against content hash 717ecc5312c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lumen-learning 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.

.claude/agents/lumen-learning.md · 200 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 200 lines · 222 tokens per session scan A 717ecc5312c0

Subscribe to this mod's changes

lumen-learning is an agent published in the GitHub repository evolution-foundation/evo-nexus (528 stars, last pushed 3mo ago), with no licence file. It adds 222 tokens to every session and 2,435 once invoked, about $0.0011 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.