note

note is a skill for Claude Code from egregore-labs/egregore. It costs 45 tokens per session (1,371 once invoked), scanned A, original, MIT.

A private note-taking skill for saving thoughts until you deliberately choose to share them.

In plain words
What is it for?
Use it to capture a quick note, list saved notes, or promote a selected note to shared memory later.
Why use it?
It keeps unfinished or personal ideas separate from shared project memory and prevents them from being published accidentally.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: names the AskUserQuestion tool.

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 skills/egregore-labs/egregore/note
Any agent
npx skills add egregore-labs/egregore --skill note
Clone the repo
git clone --depth 1 https://github.com/egregore-labs/egregore

Made for: Claude Code.

Wrote 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.

agentmods badge for note

README.md
[![agentmods](https://agentmods.dev/badge/skills/egregore-labs/egregore/note.svg)](https://agentmods.dev/skills/egregore-labs/egregore/note)
Your own site
<a href="https://agentmods.dev/skills/egregore-labs/egregore/note"><img src="https://agentmods.dev/badge/skills/egregore-labs/egregore/note.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,371 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 5.1 $0.00045 $0.01371
Opus 5 $0.00023 $0.00685
Sonnet 5 $0.00009 $0.00274
Haiku 4.5 $0.00005 $0.00137

Measured 6d ago against content hash 8734d8da29a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

note 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.

.claude/skills/note/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Save a personal note. Private by default — never shared, never pushed. You choose what to share later.

When to invoke

User says: "jot this down", "note to self", "just thinking out loud", "park this thought", "scratch pad", "write this down", "leave notes" Not this: insight is ready to share → /reflect · want deep analysis → /deep-reflect

Arguments: $ARGUMENTS

Two Modes

Invocation Mode
/note Capture — prompts for what to save
/note [content] Quick — saves directly
/note share [title] Share — promotes a personal note to shared memory
/note list List — shows all personal notes

Design principle

Everything in memory/ is shared. Everything in .egregore/notes/ is yours. This command writes to your personal space. When you're ready to share, you explicitly promote — the system never pushes personal notes.

This is the save → share pipeline. Saving is frictionless. Sharing is a deliberate act.

Capture Mode (/note or /note [content])

Step 1: Determine content

If no arguments: Ask one question via AskUserQuestion:

question: "What do you want to capture?"
header: "Note"
options:
  - label: "This session"
    description: "Summarize what happened in this conversation so far"
  - label: "A thought"
    description: "Something on your mind — rough, half-baked, anything"
  - label: "A retrospective"
    description: "Reflect on how today went — what worked, what didn't"

If arguments provided: Use them as the content. Skip the question.

If "This session" selected: Read the conversation context and produce a concise personal summary — what happened, what you worked on, what you're thinking. Not a handoff (those are for others). This is for future you.

Step 2: Write the note

Generate a slug from the content: lowercase, hyphens, max 40 chars.

File path: .egregore/notes/{YYYY-MM-DD}-{slug}.md

Ensure .egregore/notes/ exists (create silently if not).

Write the file using the Write tool (it's a local file, not in memory/):

Read the full file on GitHub · 168 lines

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. 6d ago First seen · 168 lines · 45 tokens per session scan A 8734d8da29a0

Subscribe to this mod's changes

note is a skill published in the GitHub repository egregore-labs/egregore (280 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 1,371 once invoked, about $0.0002 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.

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