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 agentmods add skills/nowledge-co/community/nowledge-mem-dockernpx skills add nowledge-co/community --skill nowledge-mem-dockergit clone --depth 1 https://github.com/nowledge-co/communityWrote 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/nowledge-co/community/nowledge-mem-docker)<a href="https://agentmods.dev/skills/nowledge-co/community/nowledge-mem-docker"><img src="https://agentmods.dev/badge/skills/nowledge-co/community/nowledge-mem-docker.svg" alt="Measured on agentmods" 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 | $0.00183 | $0.04974 |
| Opus 5 | $0.00092 | $0.02487 |
| Sonnet 5 | $0.00037 | $0.00995 |
| Haiku 4.5 | $0.00018 | $0.00497 |
Grade A, and why
nowledge-mem-docker scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. Confirm port `14242` is reachable from the user's machine: `curl -sf http://<host>:14242/livez` The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 255 lines · 183 tokens per session scan A 056a8f7d4d0d
nowledge-mem-docker is a skill published in the GitHub repository nowledge-co/community (164 stars, last pushed yesterday), with no licence file. It adds 183 tokens to every session and 4,974 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
conversation-memory
Search and recall past conversations from Claude Code history and Cursor agent transcripts. Gives your AI agent memory across sessions so you never re-explain context.
arkon-continuity
Use Arkon Vault before substantial work and at handoff boundaries to preserve project continuity across AI tools.
Context Doctor
Identify and repair degradation in system prompt, external memory, and skills preventing you from following instructions or remembering information as well as you should.
memanto-companion
Inspect and manage the cross-session engineering memory that Memanto maintains for your Claude Code skills. Use when the user asks what Memanto remembers, wants to see their engineering profile, manually recall context for a skill, or store a decision. The automatic lifecycle hooks handle capture/injection on their…
memory-recall
Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this…
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.