Install the "vector-hyperbolic" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvector/skills/vector-hyperbolic into .claude/skills/vector-hyperbolic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-hyperbolic", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add ruvnet/ruflo --skill vector-hyperbolic -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "vector-hyperbolic" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvector/skills/vector-hyperbolic into .agents/skills/vector-hyperbolic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-hyperbolic", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add ruvnet/ruflo --skill vector-hyperbolic -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "vector-hyperbolic" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvector/skills/vector-hyperbolic into .cursor/skills/vector-hyperbolic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-hyperbolic", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add ruvnet/ruflo --skill vector-hyperbolic -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "vector-hyperbolic" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvector/skills/vector-hyperbolic into .gemini/skills/vector-hyperbolic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-hyperbolic", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
GitHub CLI
$ gh skill install ruvnet/ruflo vector-hyperbolic
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add ruvnet/ruflo --skill vector-hyperbolic -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "vector-hyperbolic" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvector/skills/vector-hyperbolic into .github/skills/vector-hyperbolic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-hyperbolic", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add ruvnet/ruflo --skill vector-hyperbolic -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "vector-hyperbolic" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-ruvector/skills/vector-hyperbolic into .opencode/skills/vector-hyperbolic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-hyperbolic", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
vector-hyperbolic
GitHub stars
74k
Token cost
~668 tokens
SKILL.md length
251 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT
At a glance
Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25)
Works in 5 steps: Ensure ruvector@0.2.25 is available → Generate a base ONNX embedding… → Project into the Poincare ball in your… → …
AI & LLM Engineering work in your project
SKILL.md covers When to use, Steps, Caveats and Poincare ball properties, plus 1 more section
Calls npm and npx
What it does
Vector Hyperbolic is an agent skill from ruvnet/ruflo. Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25)
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. 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.
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:
Bash
Read
mcp__plugin_ruflo-core_ruflo__memory_store
mcp__plugin_ruflo-core_ruflo__memory_search
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npm
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm and 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
Vector Hyperbolic loads about 668 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 251 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~40
When it runs· the whole SKILL.md, loaded when a task matches
~668
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
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.
Embed hierarchical data in the Poincare ball model using ruvector.
When to use
Use this skill when your data has inherent hierarchy — dependency trees, module structures, taxonomies, org charts, ontologies. Hyperbolic space captures hierarchical distances with far fewer dimensions than Euclidean embeddings.
Generate a base ONNX embedding (ruvector@0.2.25 does not expose a --model poincare flag on embed text):bash
npx -y ruvector@0.2.25 embed text "hierarchical concept" -o concept.vec.json
Project into the Poincare ball in your own code (or via the experimental neural substrate):bash
npx -y ruvector@0.2.25 embed neural --help
For an ad-hoc projection, normalize the 384-dim vector to live inside the unit ball (x_i / (||x|| * (1 + epsilon))) and persist the projected coordinates alongside the original embedding.
Geodesic distance: d(u, v) = arcosh(1 + 2 * ||u-v||^2 / ((1-||u||^2)(1-||v||^2)))
Distance grows logarithmically with tree depth, preserving hierarchy.
Store results:
mcp__plugin_ruflo-core_ruflo__memory_store({ key: "hyperbolic-CONCEPT", value: "COORDINATES_AND_NEIGHBORS", namespace: "hyperbolic-embeddings" })
Caveats
ruvector@0.2.25 has no first-class Poincare ball CLI flag. Treat hyperbolic projection as a post-processing step over a standard ONNX embedding.
If you need a hyperbolic search index, store projected coordinates in AgentDB and compute geodesic distance in your own retrieval code.
Poincare ball properties
Property
Meaning
Norm close to 0
Generic, root-level concept
Norm close to 1
Specific, leaf-level concept
Small geodesic distance
Closely related in hierarchy
Large geodesic distance
Distant or different subtrees
Use cases
Dependency analysis: embed module imports to find tightly coupled subtrees
Code architecture: map class hierarchies to discover structural patterns
Knowledge organization: embed concepts to reveal taxonomic relationships
Codebase navigation: find most specific/general modules relative to a query
Vector Hyperbolic 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.
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25). Vector Hyperbolic is an agent skill from ruvnet/ruflo.
When should I use Vector Hyperbolic?
Vector Hyperbolic fits situations like: AI & LLM Engineering work in your project.
How do I install Vector Hyperbolic in Claude Code?
Run `npx skills add ruvnet/ruflo --skill vector-hyperbolic -a claude-code`. Or copy the skill folder (plugins/ruflo-ruvector/skills/vector-hyperbolic in ruvnet/ruflo) into .claude/skills/vector-hyperbolic in your project. Claude Code loads it when a task matches its description.
How do I install Vector Hyperbolic in Codex?
Run `npx skills add ruvnet/ruflo --skill vector-hyperbolic -a codex`. Or copy the skill folder (plugins/ruflo-ruvector/skills/vector-hyperbolic in ruvnet/ruflo) into .agents/skills/vector-hyperbolic in your project. Codex loads it when a task matches its description.
Can I use Vector Hyperbolic 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 vector-hyperbolic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vector-hyperbolic, .gemini/skills/vector-hyperbolic, .github/skills/vector-hyperbolic and .opencode/skills/vector-hyperbolic in your project.
What does Vector Hyperbolic need to run?
Going by SKILL.md and its folder, Vector Hyperbolic needs the command-line tools its instructions call (npm and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash, Read, mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search.
Does Vector Hyperbolic access the network?
SKILL.md contains no URLs. Its commands use npm and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Vector Hyperbolic 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 Vector Hyperbolic use?
Vector Hyperbolic 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 Vector Hyperbolic use?
About 668 tokens (SKILL.md is roughly 2.7k 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 Vector Hyperbolic?
Skills that share tags, products or a category with Vector Hyperbolic: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vector Hyperbolic?
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.
