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 ncz-os/mnemos --skill mnemos-memorygit clone --depth 1 https://github.com/ncz-os/mnemosWrote 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/ncz-os/mnemos/mnemos-memory)<a href="https://agentmods.dev/skills/ncz-os/mnemos/mnemos-memory"><img src="https://agentmods.dev/badge/skills/ncz-os/mnemos/mnemos-memory.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 | $0.00082 | $0.01032 |
| Opus 5 | $0.00041 | $0.00516 |
| Sonnet 5 | $0.00016 | $0.00206 |
| Haiku 4.5 | $0.00008 | $0.00103 |
Grade A, and why
mnemos-memory 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MNEMOS Memory
MNEMOS is persistent memory shared across agent sessions. It is a network service, not a prompt. Reads and writes happen through the mnemos MCP server.
When to search MNEMOS
Before you commit to an approach on any of these, run a quick search_memories:
- Infrastructure — ports, hostnames, service locations, credential storage layout
- Decisions — architecture choices, tradeoffs the team has already settled
- Solutions — workarounds for known bugs, fixes already applied elsewhere
- Patterns — reusable approaches already validated
- Projects — current project state, owners, milestones
- Standards — conventions, quality gates, review criteria
If the user's task looks like something that might have been solved before, search first. One query is cheap; wasted work is not.
Search patterns
- Start broad with full-text:
search_memories(query="topic keywords", limit=10)before narrowing - Filter by category when you know the domain:
search_memories(query="auth flow", category="decisions") - Use semantic search for concept-level matches:
search_memories(query="...", semantic=true) - Large context loads: use
POST /v1/memories/rehydratedirectly via the REST API (this path is not an MCP tool in the currentmnemos.mcp.stdiobridge). Chain multiplesearch_memoriescalls with a running token tally if you need to stay within MCP.
When to store
Store after:
- Solving a non-trivial problem (store the solution and the failure mode, not just the fix)
- Making an architectural decision with rationale (use
category=decisions; include why and tradeoffs) - Discovering infrastructure shape (endpoint, port, auth scheme) that future sessions will need
- Establishing a pattern that other agents should follow (
category=patternsorstandards)
Do not store:
- Session transcripts (the session ingest endpoint handles that separately)
- Temporary state that will be stale in a day
- Information the user will see in the diff (recent commits, current branch)
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 · 90 lines · 82 tokens per session scan A 5782f0a775da
mnemos-memory is a skill published in the GitHub repository ncz-os/mnemos (31 stars, last pushed yesterday), licensed Apache-2.0. It adds 82 tokens to every session and 1,032 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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