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Agent skill

Agentdb Query

by ruvnet in ruvnet/ruflo

Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search

MITAuto-check: notes

Install Agentdb Query

skills CLI
$ npx skills add ruvnet/ruflo --skill agentdb-query -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo agentdb-query --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-agentdb/skills/agentdb-query .claude/skills/agentdb-query && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agentdb-query
GitHub stars
74k
Token cost
~947 tokens
SKILL.md length
238 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search

  • Works in 7 steps: Check health —… → Start session —… → Store knowledge —… → …
  • SKILL.md covers When to use, Steps, Available controller groups and Important: namespace handling, plus 2 more sections
  • Calls npx

What it does

Agentdb Query is an agent skill from ruvnet/ruflo. Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Model Context Protocol. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

Example prompts

  • “/agentdb-query”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store, mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize, mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store, mcp__plugin_ruflo-core_ruflo__agentdb_controllers, mcp__plugin_ruflo-core_ruflo__agentdb_health, mcp__plugin_ruflo-core_ruflo__agentdb_batch, mcp__plugin_ruflo-core_ruflo__agentdb_feedback, mcp__plugin_ruflo-core_ruflo__agentdb_consolidate, mcp__plugin_ruflo-core_ruflo__agentdb_session-start, mcp__plugin_ruflo-core_ruflo__agentdb_session-end, Bash

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Check health — mcpplugin_ruflo-core_rufloagentdb_health. Sanity-check available: true.
  2. Start session — mcpplugin_ruflo-core_rufloagentdb_session-start if not already active.
  3. Store knowledge — mcpplugin_ruflo-core_rufloagentdb_hierarchical-store for structured tier-keyed data (tiers: working|episodic|semantic).
  4. Recall knowledge — mcpplugin_ruflo-core_rufloagentdb_hierarchical-recall with a query.
  5. Search patterns — mcpplugin_ruflo-core_rufloagentdb_pattern-search for learned patterns (ReasoningBank-routed).
  6. Synthesize context — mcpplugin_ruflo-core_rufloagentdb_context-synthesize to combine multiple memories.
  7. Build causal graph — mcpplugin_ruflo-core_rufloagentdb_causal-edge to link related knowledge.

What it can do on your machine

Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route
    • mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall
    • mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store
    • mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize
    • mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge
    • mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search
    • mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store
    • mcp__plugin_ruflo-core_ruflo__agentdb_controllers
    • mcp__plugin_ruflo-core_ruflo__agentdb_health
    • mcp__plugin_ruflo-core_ruflo__agentdb_batch

    …and 5 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agentdb Query loads about 947 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 238 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~947

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route, mcp__plugin_ruflo-core_ruflo__agentdb_hierarch

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 238 words, ~947 tokens.

Download SKILL.mdSave it as .claude/skills/agentdb-query/SKILL.md (or your agent's skills folder).
name
agentdb-query
description
Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search
allowed-tools
mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store, mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize, mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store, mcp__plugin_ruflo-core_ruflo__agentdb_controllers, mcp__plugin_ruflo-core_ruflo__agentdb_health, mcp__plugin_ruflo-core_ruflo__agentdb_batch, mcp__plugin_ruflo-core_ruflo__agentdb_feedback, mcp__plugin_ruflo-core_ruflo__agentdb_consolidate, mcp__plugin_ruflo-core_ruflo__agentdb_session-start, mcp__plugin_ruflo-core_ruflo__agentdb_session-end, Bash
argument-hint
<query>

AgentDB Query

Query and manage AgentDB through the controller bridge. AgentDB exposes 15 agentdb_* MCP tools; this skill enumerates the standard usage path.

When to use

When you need to store, retrieve, or search knowledge across agent sessions. AgentDB provides hierarchical storage, causal knowledge graphs, semantic routing, and context synthesis.

Steps

  1. Check health — mcp__plugin_ruflo-core_ruflo__agentdb_health. Sanity-check available: true.
  2. Start session — mcp__plugin_ruflo-core_ruflo__agentdb_session-start if not already active.
  3. Store knowledge — mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store for structured tier-keyed data (tiers: working|episodic|semantic).
  4. Recall knowledge — mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall with a query.
  5. Search patterns — mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search for learned patterns (ReasoningBank-routed).
  6. Synthesize context — mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize to combine multiple memories.
  7. Build causal graph — mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge to link related knowledge.

Available controller groups

Call mcp__plugin_ruflo-core_ruflo__agentdb_controllers to list the runtime registry. Functional categories surfaced via the 15 MCP tools:

  • Hierarchical — agentdb_hierarchical-store, _recall (tier-routed)
  • Pattern — agentdb_pattern-store, _search (ReasoningBank-routed)
  • Semantic — agentdb_semantic-route, _context-synthesize
  • Causal — agentdb_causal-edge (graph-node backend with bridge fallback)
  • Lifecycle — agentdb_health, _controllers, _session-start, _session-end
  • Bulk — agentdb_batch (≤500 entries), _consolidate
  • Quality — agentdb_feedback

Important: namespace handling

Namespace strings apply to memory_* and embeddings_search only. The agentdb_hierarchical-*, agentdb_pattern-*, and agentdb_causal-edge tools route by tier or controller, not namespace. Don't pass namespace: 'foo' to those tools — it will be silently ignored. See plugin README "Namespace convention".

Operational fallbacks (branch on these)

  • controller: 'memory-store-fallback' — pattern persisted via memory_store --namespace pattern. NOT a failure.
  • _graphNodeBackend: true — causal-edge handled by @ruvector/graph-node.
  • success: false, error: '...Use memory_store/memory_search instead.' — bridge unavailable; switch to memory_* tools per the README replacement table.

CLI alternative

bash
npx @claude-flow/cli@latest memory search --query "your query" --namespace patterns
npx @claude-flow/cli@latest memory store --key "key" --value "value" --namespace patterns
npx @claude-flow/cli@latest memory list --namespace patterns

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/ruflo-agentdb/skills/agentdb-query of ruvnet/ruflo.

Open the folder on GitHubat commit de590e1

Compare with similar skills

Agentdb Query next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agentdb Query compared with similar skills
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MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official37k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Works with

Questions about Agentdb Query

What does Agentdb Query do?

Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search. Agentdb Query is an agent skill from ruvnet/ruflo.

How do I install Agentdb Query in Claude Code?

Run `npx skills add ruvnet/ruflo --skill agentdb-query -a claude-code`. Or copy the skill folder (plugins/ruflo-agentdb/skills/agentdb-query in ruvnet/ruflo) into .claude/skills/agentdb-query in your project. Claude Code loads it when a task matches its description.

How do I install Agentdb Query in Codex?

Run `npx skills add ruvnet/ruflo --skill agentdb-query -a codex`. Or copy the skill folder (plugins/ruflo-agentdb/skills/agentdb-query in ruvnet/ruflo) into .agents/skills/agentdb-query in your project. Codex loads it when a task matches its description.

Can I use Agentdb Query in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agentdb-query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentdb-query, .gemini/skills/agentdb-query, .github/skills/agentdb-query and .opencode/skills/agentdb-query in your project.

What does Agentdb Query need to run?

Going by SKILL.md and its folder, Agentdb Query needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store, mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize, mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store, mcp__plugin_ruflo-core_ruflo__agentdb_controllers, mcp__plugin_ruflo-core_ruflo__agentdb_health, mcp__plugin_ruflo-core_ruflo__agentdb_batch, mcp__plugin_ruflo-core_ruflo__agentdb_feedback, mcp__plugin_ruflo-core_ruflo__agentdb_consolidate, mcp__plugin_ruflo-core_ruflo__agentdb_session-start, mcp__plugin_ruflo-core_ruflo__agentdb_session-end, Bash.

Does Agentdb Query access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Agentdb Query safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Agentdb Query use?

Agentdb Query is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentdb Query use?

About 947 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agentdb Query?

Skills that share tags, products or a category with Agentdb Query: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 37k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentdb Query?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.