Agent Browser
quran/quran.com-frontend-next
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
Run Ruflo background workers using Claude Code native /loop scheduling
$ npx skills add ruvnet/ruflo --skill loop-worker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo loop-worker --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-loop-workers/skills/loop-worker .claude/skills/loop-worker && 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 "loop-worker" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-loop-workers/skills/loop-worker into .claude/skills/loop-worker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-worker", 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-loop-workers/skills/loop-workerType 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 loop-worker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo loop-worker --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-loop-workers/skills/loop-worker .agents/skills/loop-worker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "loop-worker" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-loop-workers/skills/loop-worker into .agents/skills/loop-worker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-worker", 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 loop-worker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo loop-worker --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-loop-workers/skills/loop-worker .cursor/skills/loop-worker && 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 "loop-worker" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-loop-workers/skills/loop-worker into .cursor/skills/loop-worker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-worker", 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-loop-workers/skills/loop-worker--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 loop-worker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo loop-worker --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-loop-workers/skills/loop-worker .gemini/skills/loop-worker && 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 "loop-worker" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-loop-workers/skills/loop-worker into .gemini/skills/loop-worker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-worker", 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 loop-workerInstalls 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 loop-worker -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-loop-workers/skills/loop-worker .github/skills/loop-worker && 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 "loop-worker" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-loop-workers/skills/loop-worker into .github/skills/loop-worker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-worker", 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 loop-worker -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 loop-worker --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-loop-workers/skills/loop-worker .opencode/skills/loop-worker && 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 "loop-worker" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-loop-workers/skills/loop-worker into .opencode/skills/loop-worker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-worker", 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.
loop-workerRun Ruflo background workers using Claude Code native /loop scheduling
Loop Worker is an agent skill from ruvnet/ruflo. Run Ruflo background workers using Claude Code native /loop scheduling
Its SKILL.md is about 300 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 Productivity & Automation. 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.
Pre-approves these tools, so the agent can use them without asking each time:
Bash(npx *)mcp__plugin_ruflo-core_ruflo__hooks_worker-dispatchmcp__plugin_ruflo-core_ruflo__hooks_worker-statusScheduleWakeupFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Loop Worker loads about 297 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 86 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 de590e1, republished under its MIT licence (© ruvnet). 86 words, ~297 tokens.
.claude/skills/loop-worker/SKILL.md (or your agent's skills folder).Use /loop for in-session periodic workers. Cache-aware delays keep prompt cache warm:
min(270, cache_ttl * 0.9) -- default 270sDispatch a worker via MCP: mcp__plugin_ruflo-core_ruflo__hooks_worker-dispatch({ trigger: "WORKER_NAME" })
Then schedule the next iteration: ScheduleWakeup({ delaySeconds: 270, reason: "next WORKER_NAME iteration" })
| Worker | Interval | Description |
|---|---|---|
| audit | 270s | Security analysis |
| optimize | 270s | Performance optimization |
| consolidate | 600s | Memory consolidation |
| predict | 270s | Predictive preloading |
| map | 600s | Codebase mapping |
| testgaps | 270s | Test coverage analysis |
| document | 600s | Auto-documentation |
| benchmark | 600s | Performance benchmarking |
MCP tool responses include [LOOP_SUGGESTION] and [CRON_SUGGESTION] hints -- follow them.
© 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-loop-workers/skills/loop-worker of ruvnet/ruflo.
Open the folder on GitHubat commit de590e1
Loop Worker 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 |
|---|---|---|---|---|---|---|
| Loop Worker this skillruvnet/ruflo | 74k | — | ~297 | Automated safety check: Pass | MIT | |
| Agent Browserquran/quran.com-frontend-next | 1.9k | 41 repos | ~3.3k | Automated safety check: Pass | None | |
| Process Inboxtelegramdesktop/tdesktop | 33k | 2 repos | ~4.5k | Automated safety check: Pass | GPL-3.0 | |
| Perform Tasktelegramdesktop/tdesktop | 33k | 2 repos | ~3k | Automated safety check: Pass | GPL-3.0 | |
| Brave Searchbadlogic/pi-skills | 2.6k | 6 repos | ~592 | Automated safety check: Pass | MIT | |
| Continuetelegramdesktop/tdesktop | 33k | 2 repos | ~9.4k | Automated safety check: Pass | GPL-3.0 |
quran/quran.com-frontend-next
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
telegramdesktop/tdesktop
Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.
telegramdesktop/tdesktop
Resolve, start or resume, implement, review, test, and publish exactly one existing ai-tdesktop task by short slug or full dated id, including rare blocked retries and split-required results.
badlogic/pi-skills
Web search and content extraction via Brave Search API. An agent skill from badlogic/pi-skills.
telegramdesktop/tdesktop
Continue autonomous Telegram Desktop development from the shared ai-tdesktop repository.
paperclipai/paperclip
Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections.
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.
Categories
Run Ruflo background workers using Claude Code native /loop scheduling. Loop Worker is an agent skill from ruvnet/ruflo.
Loop Worker fits situations like: productivity & Automation work in your project.
Run `npx skills add ruvnet/ruflo --skill loop-worker -a claude-code`. Or copy the skill folder (plugins/ruflo-loop-workers/skills/loop-worker in ruvnet/ruflo) into .claude/skills/loop-worker in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill loop-worker -a codex`. Or copy the skill folder (plugins/ruflo-loop-workers/skills/loop-worker in ruvnet/ruflo) into .agents/skills/loop-worker 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 loop-worker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/loop-worker, .gemini/skills/loop-worker, .github/skills/loop-worker and .opencode/skills/loop-worker in your project.
SKILL.md names no scripts, command-line tools or credentials: Loop Worker is instructions for the agent only. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash(npx *), mcp__plugin_ruflo-core_ruflo__hooks_worker-dispatch, mcp__plugin_ruflo-core_ruflo__hooks_worker-status, ScheduleWakeup.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Loop Worker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 297 tokens (SKILL.md is roughly 1.2k 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 Loop Worker: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Process Inbox (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k 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 74,012 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.