velesdb-memory

velesdb-memory is a skill for Claude Code, Codex from cyberlife-coder/VelesDB. It costs 328 tokens per session (6,355 once invoked), scanned A, original, no licence file.

A skill for using the VelesDB Memory MCP server to store, search, connect, explain, and manage information during a coding session. VelesDB is a local-first database project.

In plain words
What is it for?
Remembering project facts, finding related notes, tracing why a decision was made, and updating or removing stored memories.
Why use it?
It lets the coding assistant retain useful context across a session instead of relying only on the current conversation.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Remembering project facts, finding related notes, tracing why a decision was made, and updating or removing stored memories.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyberlife-coder/velesdb/velesdb-memory
Install

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.

Any agent
npx skills add cyberlife-coder/VelesDB --skill velesdb-memory
Clone the repo
git clone --depth 1 https://github.com/cyberlife-coder/VelesDB

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for velesdb-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyberlife-coder/velesdb/velesdb-memory/github.svg)](https://agentmods.dev/skills/cyberlife-coder/velesdb/velesdb-memory)
Your own site
<a href="https://agentmods.dev/skills/cyberlife-coder/velesdb/velesdb-memory"><img src="https://agentmods.dev/badge/skills/cyberlife-coder/velesdb/velesdb-memory/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.

agentmods 80×15 button for velesdb-memory

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyberlife-coder/velesdb/velesdb-memory"><img src="https://agentmods.dev/badge/skills/cyberlife-coder/velesdb/velesdb-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 328 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,355 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00328 $0.06355
Opus 5.5 $0.00131 $0.02542
Sonnet 5.5 $0.00066 $0.01271
Haiku 4.5 $0.00033 $0.00636

Measured 1mo ago against content hash a34f5d824ffa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

velesdb-memory 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`curl -L https://github.com/cyberlife-coder/VelesDB/releases/latest/download/velesdb-skills.tar.gz | tar -xz -C ~/.claude/skills/`.
crates/velesdb-memory/skill/velesdb-memory/SKILL.md · 448 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 1mo ago First seen · 448 lines · 328 tokens per session scan A a34f5d824ffa

Subscribe to this mod's changes

velesdb-memory is a skill published in the GitHub repository cyberlife-coder/VelesDB (99 stars, last pushed yesterday), with no licence file. It adds 328 tokens to every session and 6,355 once invoked, about $0.0013 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

gno

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs…

gmickel/gno · 86 tokens

qdrant-vector-search

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

davila7/claude-code-templates · 46 tokens

my-wiki

A skill for managing a local Markdown knowledge vault that stores captured webpages, PDFs, Office files, notes, images, folders, and ZIP files. It links preserved source material, called References, to durable topic pages, called Concepts.

NimaChu/my-wiki · 51 tokens

qdrant-vector-search

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

Orchestra-Research/AI-Research-SKILLs · 46 tokens

knowledge-ingest

Ingest or update a codebase in the agent-knowledge base. First run bootstraps the knowledge base from scratch; subsequent runs are incremental (only changed/new/deleted files reprocessed). Uses tree-sitter for zero-token structural extraction. Trigger on "/knowledge-ingest", "ingest this codebase", "load this into…

keshrath/agent-knowledge · 96 tokens

setup

A setup guide for session-recall, a tool that lets an agent search and reuse information from earlier conversations. It covers installation, language, local or cloud processing, and optional team sharing.

AbsoluteMode/session-recall · 84 tokens