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.
npx skills add ayushcodes10/echo-mem --skill source-command-memory-neuralgit clone --depth 1 https://github.com/ayushcodes10/echo-memWrote 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/skills/ayushcodes10/echo-mem/source-command-memory-neural)<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-memory-neural"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-memory-neural/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/skills/ayushcodes10/echo-mem/source-command-memory-neural"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-memory-neural.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 | $0.00015 | $0.00412 |
| Opus 5.5 | $0.00006 | $0.00165 |
| Sonnet 5.5 | $0.00003 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
source-command-memory-neural 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
source-command-memory-neural
Use this skill when the user asks to run the migrated source command memory-neural.
Command Template
Neural Pattern Training
🎯 Key Principle
This tool coordinates Codex's actions. It does NOT write code or create content.
MCP Tool Usage in Codex
Tool: mcp__claude-flow__neural_train
Parameters
{
"pattern_type": "coordination",
"training_data": "task decomposition patterns",
"epochs": 50
}
Description
Improve coordination patterns through neural network training
Details
Training improves:
- Task breakdown effectiveness
- Coordination pattern selection
- Resource allocation strategies
- Overall coordination efficiency
Example Usage
In Codex:
- Train coordination patterns: Use tool
mcp__claude-flow__neural_trainwith parameters{"pattern_type": "coordination", "training_data": "successful task patterns", "epochs": 50} - Train optimization patterns: Use tool
mcp__claude-flow__neural_trainwith parameters{"pattern_type": "optimization", "training_data": "performance metrics", "epochs": 30} - Check training status: Use tool
mcp__claude-flow__neural_status - Analyze patterns: Use tool
mcp__claude-flow__neural_patternswith parameters{"action": "analyze"}
Important Reminders
- ✅ This tool provides coordination and structure
- ✅ Codex performs all actual implementation
- ❌ The tool does NOT write code
- ❌ The tool does NOT access files directly
- ❌ The tool does NOT execute commands
See Also
- Main documentation: /AGENTS.md
- Other commands in this category
- Workflow examples in /workflows/
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 · 59 lines · 15 tokens per session scan A f71e7d79ea19
source-command-memory-neural is a skill published in the GitHub repository ayushcodes10/echo-mem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 412 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 2026-09-12.
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