Create and manage Cognitum Seed device fleets with firmware policies
$ npx skills add ruvnet/ruflo --skill iot-fleet -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo iot-fleet --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-iot-cognitum/skills/iot-fleet .claude/skills/iot-fleet && rm -rf skills-srcUse ~/.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/
Install the "iot-fleet" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-iot-cognitum/skills/iot-fleet into .claude/skills/iot-fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iot-fleet", 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.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-iot-cognitum/skills/iot-fleetType 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.
$ npx skills add ruvnet/ruflo --skill iot-fleet -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo iot-fleet --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ruflo-iot-cognitum/skills/iot-fleet .agents/skills/iot-fleet && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "iot-fleet" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-iot-cognitum/skills/iot-fleet into .agents/skills/iot-fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iot-fleet", 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.
$ npx skills add ruvnet/ruflo --skill iot-fleet -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo iot-fleet --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ruflo-iot-cognitum/skills/iot-fleet .cursor/skills/iot-fleet && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "iot-fleet" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-iot-cognitum/skills/iot-fleet into .cursor/skills/iot-fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iot-fleet", 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.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path plugins/ruflo-iot-cognitum/skills/iot-fleet--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill iot-fleet -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo iot-fleet --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ruflo-iot-cognitum/skills/iot-fleet .gemini/skills/iot-fleet && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "iot-fleet" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-iot-cognitum/skills/iot-fleet into .gemini/skills/iot-fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iot-fleet", 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.
$ gh skill install ruvnet/ruflo iot-fleetInstalls 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).
$ npx skills add ruvnet/ruflo --skill iot-fleet -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ruflo-iot-cognitum/skills/iot-fleet .github/skills/iot-fleet && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "iot-fleet" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-iot-cognitum/skills/iot-fleet into .github/skills/iot-fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iot-fleet", 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.
$ npx skills add ruvnet/ruflo --skill iot-fleet -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo iot-fleet --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ruflo-iot-cognitum/skills/iot-fleet .opencode/skills/iot-fleet && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "iot-fleet" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-iot-cognitum/skills/iot-fleet into .opencode/skills/iot-fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iot-fleet", 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.
iot-fleetCreate and manage Cognitum Seed device fleets with firmware policies
Iot Fleet is an agent skill from ruvnet/ruflo. Create and manage Cognitum Seed device fleets with firmware policies
Its SKILL.md is about 210 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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 6051f67. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
Bash(npx *)mcp__plugin_ruflo-core_ruflo__memory_storemcp__plugin_ruflo-core_ruflo__memory_searchReadFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Iot Fleet loads about 210 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 54 words of instructions outside code blocks.
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.
The automated check found no risky patterns in 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.
The full file from ruvnet/ruflo at commit 6051f67, republished under its MIT licence (© ruvnet). 54 words, ~210 tokens.
.claude/skills/iot-fleet/SKILL.md (or your agent's skills folder).Manage device fleets. Parse subcommand from arguments.
create: npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot fleet create --name NAME
list: npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot fleet list
add: npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot fleet add FLEET_ID DEVICE_ID
remove: npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot fleet remove FLEET_ID DEVICE_ID
delete: npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot fleet delete FLEET_ID
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/ruflo-iot-cognitum/skills/iot-fleet of ruvnet/ruflo.
Open the folder on GitHubat commit 6051f67
Iot Fleet 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Iot Fleet this skillruvnet/ruflo | 74k | — | ~210 | Automated safety check: Pass | MIT | |
| Implementing Usb Device Control Policymukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Policy As Code With Open Policy Agentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Performing Firmware Malware Analysismukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Notes | Apache-2.0 | |
| SeedQ00/ouroboros | 6.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Policy Acknowledgementsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Implements USB device control policies to restrict unauthorized removable media access on endpoints, preventing data exfiltration and malware introduction via USB devices.
mukul975/Anthropic-Cybersecurity-Skills
Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes…
mukul975/Anthropic-Cybersecurity-Skills
Analyzes firmware images for embedded malware, backdoors, and unauthorized modifications in routers, IoT devices, UEFI/BIOS, and embedded systems, covering firmware extraction, filesystem analysis…
Q00/ouroboros
Generate validated Seed specifications from interview results
sickn33/agentic-awesome-skills
Policy acknowledgement register: employee, policy and version, sent and due dates, acknowledged date and flag, days overdue, reminder sent and status.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing whether a website has a visible, accessible privacy policy link, particularly in the footer navigation.
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Create and manage Cognitum Seed device fleets with firmware policies. Iot Fleet is an agent skill from ruvnet/ruflo.
Run `npx skills add ruvnet/ruflo --skill iot-fleet -a claude-code`. Or copy the skill folder (plugins/ruflo-iot-cognitum/skills/iot-fleet in ruvnet/ruflo) into .claude/skills/iot-fleet in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill iot-fleet -a codex`. Or copy the skill folder (plugins/ruflo-iot-cognitum/skills/iot-fleet in ruvnet/ruflo) into .agents/skills/iot-fleet in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill iot-fleet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/iot-fleet, .gemini/skills/iot-fleet, .github/skills/iot-fleet and .opencode/skills/iot-fleet in your project.
Going by SKILL.md and its folder, Iot Fleet needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash(npx *), mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, Read.
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.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Iot Fleet is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 210 tokens (SKILL.md is roughly 840 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Iot Fleet: Implementing Usb Device Control Policy (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Implementing Policy As Code With Open Policy Agent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Performing Firmware Malware Analysis (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Seed (Q00/ouroboros, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,089 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 8, 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.
