AgentDB Performance Optimization

AgentDB Performance Optimization is a skill for Claude Code, Codex from ruvnet/agentic-flow. It costs 53 tokens per session (3,268 once invoked), scanned A, original, no licence file.

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/ruvnet/agentic-flow/agentdb-optimization
Any agent
npx skills add ruvnet/agentic-flow --skill agentdb-optimization
Clone the repo
git clone --depth 1 https://github.com/ruvnet/agentic-flow

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 AgentDB Performance Optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/ruvnet/agentic-flow/agentdb-optimization.svg)](https://agentmods.dev/skills/ruvnet/agentic-flow/agentdb-optimization)
Your own site
<a href="https://agentmods.dev/skills/ruvnet/agentic-flow/agentdb-optimization"><img src="https://agentmods.dev/badge/skills/ruvnet/agentic-flow/agentdb-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,268 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00053 $0.03268
Opus 5 $0.00026 $0.01634
Sonnet 5 $0.00011 $0.00654
Haiku 4.5 $0.00005 $0.00327

Measured today against content hash 0438ee74207a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AgentDB Performance Optimization 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 today.

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.

.claude/skills/agentdb-optimization/SKILL.md · 510 lines

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.

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. today First seen · 510 lines · 53 tokens per session scan A 0438ee74207a

Subscribe to this mod's changes

AgentDB Performance Optimization is a skill published in the GitHub repository ruvnet/agentic-flow (799 stars, last pushed 1mo ago), with no licence file. It adds 53 tokens to every session and 3,268 once invoked, about $0.0003 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 2026-09-03.

Related

Other skills, from other repositories

memory

Expertise in maintaining persistent bot memory, synchronizing with previous sessions via the Task Ledger, and preserving decision logs.

google-gemini/gemini-cli · 25 tokens

self-diagnose

Sutando introspection — read logs + git + memory + build log for a chosen time window and produce a concise narrative of what the agent has been doing, what's broken, and what to prioritize next.

sonichi/sutando · 47 tokens

metabot

Unified MetaBot CLI for personal Memory, Skill Hub, durable Agent Bus messaging, agent registry, Agent Teams, T5T, scheduling, and bridge runtime operations.

xvirobotics/metabot · 36 tokens

context-reconstruct

Re-anchor on the durable record (current-track, live owner thread, pending-questions, relay, buildlog) before acting on anything that depends on earlier context. Read, do not recall.

sonichi/sutando · 43 tokens

duduclaw-platform

Use the DuDuClaw MCP tools (persistent memory, shared wiki, task board, channel messaging) when the user asks to remember something across sessions, share knowledge with their team's AI employees, manage tasks, or message someone on LINE/Telegram/Discord/Slack. Requires a running DuDuClaw gateway (npx duduclaw onboard…

zhixuli0406/DuDuClaw · 81 tokens

migrate-to-antigravity

Move an existing Claude Code setup onto the Antigravity CLI (agy) — user skills, CLAUDE.md, auto-memory, MCP servers, installed plugins, permissions and trusted workspaces. Use when the user says "migrate to Antigravity", "move my Claude Code config to agy", "bring my skills/memory/MCP over", "set up agy like my…

yuting0624/antigravity-for-claude-code · 123 tokens