settings

A command definition for opening the learnFromClaude extraction settings, which control how information is selected and summarized from sessions.

In plain words
What is it for?
Use it to inspect the configuration or direct the user to the dashboard settings when the dashboard is already running.
Why use it?
It helps users review or adjust settings such as card limits, session size, categories, skip rules and writing style.

Command

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 commands/pathakcodes/learnfromclaude/settings
Clone the repo
git clone --depth 1 https://github.com/pathakcodes/learnFromClaude
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 155 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00011 $0.00155
Opus 5 $0.00005 $0.00077
Sonnet 5 $0.00002 $0.00031
Haiku 4.5 $0.00001 $0.00015

Measured yesterday against content hash 4af4868f1220, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

settings 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.

plugins/learn-from-claude/commands/settings.md · 10 lines

What it actually says

Open the user's learnFromClaude CONFIG.md so they can tweak what cards get extracted and how many.

  1. If the dashboard is already running, the easiest path is pressing , in the UI — it opens the settings modal. Tell the user that first.
  2. Otherwise, open ~/.claude/learnFromClaude/CONFIG.md in their editor with the Read tool so they can review the current values (cards_per_session, min/max session events, extraction categories, skip rules, card style, custom instructions).
  3. If they want to edit specific knobs, make the targeted changes with Edit. The summarizer picks up changes at the next session end — no restart needed.
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. yesterday First seen · 10 lines · 11 tokens per session scan A 4af4868f1220

Subscribe to this mod's changes

settings is a command published in the GitHub repository pathakcodes/learnFromClaude (2 stars, last pushed 4mo ago), licensed MIT. It adds 11 tokens to every session and 155 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 2026-08-31.