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.
git clone --depth 1 https://github.com/lezards/neuron-vault-kitWrote 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.
[](https://agentmods.dev/commands/lezards/neuron-vault-kit/neuron-new)<a href="https://agentmods.dev/commands/lezards/neuron-vault-kit/neuron-new"><img src="https://agentmods.dev/badge/commands/lezards/neuron-vault-kit/neuron-new/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/lezards/neuron-vault-kit/neuron-new"><img src="https://agentmods.dev/badge/commands/lezards/neuron-vault-kit/neuron-new.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.00386 |
| Opus 5.5 | $0.00012 | $0.00154 |
| Sonnet 5.5 | $0.00006 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
neuron-new scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/neuron-new
Cria {{VAULT}}/$ARGUMENTS.md com template + adiciona linha no MEMORY.md.
Instale substituindo
{{VAULT}}pelo caminho do seu vault e copiando este arquivo pra~/.claude/commands/.
Template
# <Titulo do neuron>
**Data:** <YYYY-MM-DD atual>
**Tipo:** <project | reference | feedback | discovery>
## O que e
<1-2 frases>
## Por que importa
<contexto, motivacao, deadline>
## Como aplicar
<regras pra IA usar isso em conversas futuras>
## Detalhes
<conteudo principal, com [[wiki-links]] pra neurons relacionados>
Como executar
- Confirmar slug com o usuario se nao foi passado (
$ARGUMENTSvazio). Slug em kebab-case descritivo. - Verificar se ja existe (
Glob {{VAULT}}/$ARGUMENTS.md). Se sim, perguntar: atualizar ou criar variante? - Coletar conteudo da conversa atual que motivou o neuron. Converter datas relativas em absolutas.
- Write em
{{VAULT}}/$ARGUMENTS.md. - Edit em
{{VAULT}}/MEMORY.mdadicionando linha na secao apropriada:- [Titulo](slug.md) — descricao curta
- Confirmar caminho criado pro usuario.
Regra
Nunca criar neuron sem o usuario ter dito algo concreto. Se ele so falou "salva isso", confirmar O QUE salvar antes. Atualizar neuron existente sempre ganha de criar duplicata.
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.
- 1mo ago First seen · 50 lines · 30 tokens per session scan A 9acdfbb2076e
neuron-new is a command published in the GitHub repository lezards/neuron-vault-kit (2 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 386 once invoked, about $0.0001 per session on Opus 5.5. 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.
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