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.
curl -O https://raw.githubusercontent.com/ruvnet/ruv-FANN/main/.claude/commands/training/neural-patterns.mdgit clone --depth 1 https://github.com/ruvnet/ruv-FANNWrote 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/ruvnet/ruv-fann/neural-patterns)<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.
<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>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 | $0.00000 | $0.00278 |
| Opus 5.5 | $0.00000 | $0.00111 |
| Sonnet 5.5 | $0.00000 | $0.00056 |
| Haiku 4.5 | $0.00000 | $0.00028 |
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.
Copies of this mod
5 near-identical copies found in the catalogue:
- neural-patterns — 92% identical, 31 lines differ
- neural-patterns — 92% identical, 31 lines differ
- neural-patterns — 92% identical, 31 lines differ
- neural-patterns — 92% identical, 41 lines differ
- neural-patterns — 92% identical, 31 lines differ
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
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.
- 2mo ago First seen · 49 lines · 0 tokens per session scan A c6ec7a969569
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.
neural-patterns compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neural-patternsruvnet/ruv-FANN | Command | 387 | today | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | today | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | today | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | today | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | today | MIT | A | 14 | Claude Code |