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 nhadaututtheky/neural-memory --skill claude-plugingit clone --depth 1 https://github.com/nhadaututtheky/neural-memoryWrote 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/nhadaututtheky/neural-memory/claude-plugin)<a href="https://agentmods.dev/skills/nhadaututtheky/neural-memory/claude-plugin"><img src="https://agentmods.dev/badge/skills/nhadaututtheky/neural-memory/claude-plugin.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00803 |
| Opus 5 | $0.00000 | $0.00402 |
| Sonnet 5 | $0.00000 | $0.00161 |
| Haiku 4.5 | $0.00000 | $0.00080 |
Grade A, and why
.claude-plugin 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neural Memory
Persistent memory for AI agents — stores experiences as interconnected neurons, recalls through spreading activation.
Session Lifecycle
- Start:
nmem_recap()→nmem_recall("<project> <topic>") - During:
nmem_remember(...)after each completed task - End:
nmem_auto(action="process", text="brief summary") - Emergency:
nmem_auto(action="flush", text="...")before /compact
Save — When & How
nmem_remember(content="Chose X over Y because Z", type="decision", priority=7, tags=["project", "topic"])
| Signal | type | priority |
|---|---|---|
| Chose between alternatives | decision | 7 |
| Fixed a bug (root cause + fix) | error | 7 |
| Discovered a pattern | insight | 6 |
| Learned user preference | preference | 8 |
| Established a process | workflow | 6 |
| Reusable fact | fact | 5 |
| User instruction | instruction | 8 |
Quality (system scores 0-10 automatically):
- Causal language: "X because Y", "chose X over Y", "root cause was X"
- Include specifics: file paths, versions, error traces
- 50-300 chars optimal. >500 chars penalized — split instead.
- Scratch notes:
ephemeral=true(24h, never synced) - Do NOT save: routine file reads, things in git, duplicates
Recall
nmem_recall(query="project auth bug") # depth auto-detected
- Causal queries ("why", "because", "caused") activate cause-effect chains
- Fixes auto-supersede errors (old errors demoted when fix is stored)
- Prefix queries with project name for accuracy
Smart Behaviors (automatic)
- Quality scoring: specificity, structure, brevity scored per memory
- Dedup: similar memories flagged — use nmem_edit instead of duplicating
- Causal synapses: fixes create RESOLVED_BY links, demote old errors
- Stale detection: old-version references get -20% retrieval penalty
- Cold demotion: 0 access in 30d → cold; 90d → prune candidate (pinned exempt)
- SimHash merge: content-similar memories consolidated; 5+ group → summary fiber
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 77 lines · 0 tokens per session scan A cb2742c449ce
.claude-plugin is a skill published in the GitHub repository nhadaututtheky/neural-memory (243 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 803 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 2026-08-30.
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