neuron-find

neuron-find is a command for coding agents from lezards/neuron-vault-kit. It costs 20 tokens per session (304 once invoked), scanned A, original, MIT.

A command for quickly searching a NeuronVault, a folder of Markdown notes, for notes that mention a given term. It returns the most relevant matches with file paths, titles, and short excerpts.

In plain words
What is it for?
Use it to search note filenames and contents, review the top five matches, or decide whether to broaden the search when nothing is found.
Why use it?
It saves time when you need to find existing notes before making a claim or creating a new one.

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/lezards/neuron-vault-kit/neuron-find
Clone the repo
git clone --depth 1 https://github.com/lezards/neuron-vault-kit
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 304 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 $0.00020 $0.00304
Opus 5 $0.00010 $0.00152
Sonnet 5 $0.00004 $0.00061
Haiku 4.5 $0.00002 $0.00030

Measured 3d ago against content hash 328d57fc9b0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

neuron-find 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 3d 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.

integrations/claude-code/commands/neuron-find.md · 27 lines

What it actually says

/neuron-find

Busca em {{VAULT}} por neurons que mencionem $ARGUMENTS.

Instale substituindo {{VAULT}} pelo caminho do seu vault (ex: D:/meu-vault ou ~/vault) e copiando este arquivo pra ~/.claude/commands/.

Como executar

  1. Glob nos nomes: {{VAULT}}/**/*.md filtrando por slug que contenha palavras-chave de $ARGUMENTS.
  2. Grep no conteudo: grep -ril "$ARGUMENTS" em {{VAULT}} (excluir node_modules/, dist/, .git/).
  3. Apresentar top 5 com:
    • Path relativo (ex: bot-prediction-rules.md)
    • 1a linha do arquivo (titulo)
    • Snippet de ate 3 linhas onde o termo aparece
  4. Se nada bater, perguntar ao usuario se quer ampliar a busca ou criar neuron novo.

Importante

  • Sempre buscar ANTES de afirmar que o vault nao tem nada.
  • Se o usuario pedir "abre o neuron X", chamar /neuron-read.
  • Se o usuario pedir "salva isso como neuron sobre X", chamar /neuron-new.
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. 3d ago First seen · 27 lines · 20 tokens per session scan A 328d57fc9b0c

Subscribe to this mod's changes

neuron-find is a command published in the GitHub repository lezards/neuron-vault-kit (2 stars, last pushed 17d ago), licensed MIT. It adds 20 tokens to every session and 304 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.