note

A note-taking workflow that saves useful discoveries in NOTES.md so agents can use them in later sessions. The notes can apply to one feature or to the whole project.

In plain words
What is it for?
Use it to record feature-specific or project-wide learnings, such as setup quirks, debugging findings, credential locations, and established conventions.
Why use it?
Important environment details, workarounds, and decisions can be lost when a session ends or its context is shortened. Saving them creates a persistent reference for future work.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 852 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 $0.00014 $0.00852
Opus 5 $0.00007 $0.00426
Sonnet 5 $0.00003 $0.00170
Haiku 4.5 $0.00001 $0.00085

Measured 2d ago against content hash 808af7037b89, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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.

plugin/skills/note/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Belmont: Note

You are saving learnings and discoveries to NOTES.md so they persist across sessions and context compactions. This skill captures non-obvious information — environment quirks, workarounds, debugging insights, credential locations — that would otherwise be lost.

Storage Locations

  • Feature-level: {base}/NOTES.md — learnings specific to the current feature
  • Global: .belmont/NOTES.md — cross-cutting learnings (env setup, project-wide patterns)

Where {base} is the feature's base path (e.g., .belmont/features/<slug>/).

Step 1: Determine Target

Decide where to save the note:

  1. If the user specifies "global" or the note is about project-wide setup/environment, use .belmont/NOTES.md
  2. If the user specifies a feature or you're clearly working in a feature context, use {base}/NOTES.md
  3. If unclear, ask the user:
Where should this note be saved?
  [1] Feature: <feature-name> ({base}/NOTES.md)
  [2] Global (.belmont/NOTES.md)

Step 2: Extract Learnings

Gather the content to save:

  1. If the user provided specific text, use that
  2. If the user says "save what we learned" or similar, extract non-obvious discoveries from the conversation:
    • Environment requirements or quirks
    • Workarounds for bugs or limitations
    • Debugging insights that took effort to discover
    • Credential or config file locations (NEVER save actual secret values)
    • Performance findings
    • Non-obvious patterns or conventions

Do NOT save:

  • Routine task completion notes (that's what PROGRESS.md is for)
  • Obvious information that's in the docs
  • Actual secret values, tokens, passwords, or API keys — only save their locations

Step 3: Confirm with User

Show the user what will be saved:

Saving to: {target file path}

### {Category}
- {learning 1}
- {learning 2}

Save this? [y/n]

Wait for confirmation before writing.

Step 4: Write to NOTES.md

  1. If the file doesn't exist: Create it with the header and today's entry:

Read the full file on GitHub · 110 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. 2d ago First seen · 110 lines · 14 tokens per session scan A 808af7037b89

Subscribe to this mod's changes

note is a skill published in the GitHub repository blake-simpson/belmont (4 stars, last pushed 14d ago), licensed Apache-2.0. It adds 14 tokens to every session and 852 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.