ruv-FANN: Command for Claude Code

.claude/commands/training/neural-patterns.md

neural-patterns is a command for Claude Code from ruvnet/ruv-FANN. It costs 0 tokens per session (278 once invoked), scanned A, original, MIT.

A training system that learns patterns from completed coding tasks, including file edits, searches, task breakdowns and agent coordination.

In plain words
What is it for?
Use it to train coordination patterns manually or monitor how learned patterns change over time.
Why use it?
It uses past operations to improve future task predictions and coordination.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is ruvnet/ruv-FANN's own configuration. It tells Claude Code how to work on ruv-FANN itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ruv-FANN configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ruvnet/ruv-FANN. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ruvnet/ruv-FANN/main/.claude/commands/training/neural-patterns.md
Clone the repo
git clone --depth 1 https://github.com/ruvnet/ruv-FANN

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 neural-patterns

README.md
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Your own site
<a href="https://agentmods.dev/commands/ruvnet/ruv-fann/neural-patterns"><img src="https://agentmods.dev/badge/commands/ruvnet/ruv-fann/neural-patterns/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.

agentmods 80×15 button for neural-patterns

Your own site · 80×15
<a href="https://agentmods.dev/commands/ruvnet/ruv-fann/neural-patterns"><img src="https://agentmods.dev/badge/commands/ruvnet/ruv-fann/neural-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 278 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00000 $0.00278
Opus 5.5 $0.00000 $0.00111
Sonnet 5.5 $0.00000 $0.00056
Haiku 4.5 $0.00000 $0.00028

Measured 2mo ago against content hash c6ec7a969569, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neural-patterns 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 2mo 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.

Origin

Copies of this mod

5 near-identical copies found in the catalogue:

.claude/commands/training/neural-patterns.md · 49 lines

What it actually says

Neural Pattern Training

Purpose

Continuously improve coordination through neural network learning.

How Training Works

1. Automatic Learning

Every successful operation trains the neural networks:

  • Edit patterns for different file types
  • Search strategies that find results faster
  • Task decomposition approaches
  • Agent coordination patterns

2. Manual Training

Tool: mcp__ruv-swarm__neural_train
Parameters: {"iterations": 20}

3. Pattern Types

Cognitive Patterns:

  • Convergent: Focused problem-solving
  • Divergent: Creative exploration
  • Lateral: Alternative approaches
  • Systems: Holistic thinking
  • Critical: Analytical evaluation
  • Abstract: High-level design

4. Improvement Tracking

Tool: mcp__ruv-swarm__neural_status
Result: {
  "patterns": {
    "convergent": 0.92,
    "divergent": 0.87,
    "lateral": 0.85
  },
  "improvement": "5.3% since last session",
  "confidence": 0.89
}

Benefits

  • 🧠 Learns your coding style
  • 📈 Improves with each use
  • 🎯 Better task predictions
  • ⚡ Faster coordination
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. 2mo ago First seen · 49 lines · 0 tokens per session scan A c6ec7a969569

Subscribe to this mod's changes

neural-patterns is a command published in the GitHub repository ruvnet/ruv-FANN (387 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 278 tokens. 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 2026-09-03.

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