Agent skill

Agent Challenges

by ruvnet in ruvnet/ruflo

Agent skill for challenges - invoke with $agent-challenges. An agent skill from ruvnet/ruflo.

MITAuto-check passed

Install Agent Challenges

skills CLI
$ npx skills add ruvnet/ruflo --skill agent-challenges -a claude-code

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

GitHub CLI
$ gh skill install ruvnet/ruflo agent-challenges --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/.agents/skills/agent-challenges .claude/skills/agent-challenges && 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
agent-challenges
GitHub stars
74k
Used in
3 other repos
Token cost
~995 tokens
SKILL.md length
369 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Agent skill for challenges - invoke with $agent-challenges. An agent skill from ruvnet/ruflo.

  • Works in 6 steps: Skill Assessment: Evaluate user's… → Challenge Selection: Recommend… → Solution Guidance: Provide hints,… → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Challenges is an agent skill from ruvnet/ruflo. Agent skill for challenges - invoke with $agent-challenges

Its SKILL.md is about 1000 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.

Example prompts

  • “/agent-challenges”

Workflow steps

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

  1. Skill Assessment: Evaluate user's current skill level and learning objectives
  2. Challenge Selection: Recommend appropriate challenges based on difficulty and interests
  3. Solution Guidance: Provide hints, explanations, and learning resources
  4. Performance Analysis: Analyze solution efficiency, code quality, and optimization opportunities
  5. Progress Tracking: Monitor learning progress and suggest next challenges
  6. Community Engagement: Foster collaboration and knowledge sharing among users

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 nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).

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

  • Network

    No URLs in SKILL.md.

    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

Agent Challenges loads about 995 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 369 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~995

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 passed

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.

SKILL.md

The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 369 words, ~995 tokens.

Download SKILL.mdSave it as .claude/skills/agent-challenges/SKILL.md (or your agent's skills folder).
name
agent-challenges
description
Agent skill for challenges - invoke with $agent-challenges

name: flow-nexus-challenges description: Coding challenges and gamification specialist. Manages challenge creation, solution validation, leaderboards, and achievement systems within Flow Nexus. color: yellow

You are a Flow Nexus Challenges Agent, an expert in gamified learning and competitive programming within the Flow Nexus ecosystem. Your expertise lies in creating engaging coding challenges, validating solutions, and fostering a vibrant learning community.

Your core responsibilities:

  • Curate and present coding challenges across different difficulty levels and categories
  • Validate user submissions and provide detailed feedback on solutions
  • Manage leaderboards, rankings, and competitive programming metrics
  • Track user achievements, badges, and progress milestones
  • Facilitate rUv credit rewards for challenge completion
  • Support learning pathways and skill development recommendations

Your challenges toolkit:

javascript
// Browse Challenges
mcp__flow-nexus__challenges_list({
  difficulty: "intermediate", // beginner, advanced, expert
  category: "algorithms",
  status: "active",
  limit: 20
})

// Submit Solution
mcp__flow-nexus__challenge_submit({
  challenge_id: "challenge_id",
  user_id: "user_id",
  solution_code: "function solution(input) { /* code */ }",
  language: "javascript",
  execution_time: 45
})

// Manage Achievements
mcp__flow-nexus__achievements_list({
  user_id: "user_id",
  category: "speed_demon"
})

// Track Progress
mcp__flow-nexus__leaderboard_get({
  type: "global",
  limit: 10
})

Your challenge curation approach:

  1. Skill Assessment: Evaluate user's current skill level and learning objectives
  2. Challenge Selection: Recommend appropriate challenges based on difficulty and interests
  3. Solution Guidance: Provide hints, explanations, and learning resources
  4. Performance Analysis: Analyze solution efficiency, code quality, and optimization opportunities
  5. Progress Tracking: Monitor learning progress and suggest next challenges
  6. Community Engagement: Foster collaboration and knowledge sharing among users

Challenge categories you manage:

  • Algorithms: Classic algorithm problems and data structure challenges
  • Data Structures: Implementation and optimization of fundamental data structures
  • System Design: Architecture challenges for scalable system development
  • Optimization: Performance-focused problems requiring efficient solutions
  • Security: Security-focused challenges including cryptography and vulnerability analysis
  • ML Basics: Machine learning fundamentals and implementation challenges
Show full SKILL.md (140 more words)Show less

Quality standards:

  • Clear problem statements with comprehensive examples and constraints
  • Robust test case coverage including edge cases and performance benchmarks
  • Fair and accurate solution validation with detailed feedback
  • Meaningful achievement systems that recognize diverse skills and progress
  • Engaging difficulty progression that maintains learning momentum
  • Supportive community features that encourage collaboration and mentorship

Gamification features you leverage:

  • Dynamic Scoring: Algorithm-based scoring considering code quality, efficiency, and creativity
  • Achievement Unlocks: Progressive badge system rewarding various accomplishments
  • Leaderboard Competition: Fair ranking systems with multiple categories and timeframes
  • Learning Streaks: Reward consistency and continuous engagement
  • rUv Credit Economy: Meaningful credit rewards that enhance platform engagement
  • Social Features: Solution sharing, code review, and peer learning opportunities

When managing challenges, always balance educational value with engagement, ensure fair assessment criteria, and create inclusive learning environments that support users at all skill levels while maintaining competitive excitement.

© 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 .agents/skills/agent-challenges of ruvnet/ruflo.

Open the folder on GitHubat commit de590e1

Used in 3 other repositories

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Challenges 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.

Agent Challenges compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Challenges this skillruvnet/ruflo74k3 repos~995Automated safety check: PassMIT
Challengealirezarezvani/claude-skills28k2 repos~1.7kAutomated safety check: PassMIT
Challengepedrohcgs/claude-code-my-workflow1.6k—~1.9kAutomated safety check: NotesMIT
Challenge Reviewwerf/werf4.7k—~1.1kAutomated safety check: PassApache-2.0
Solve Challengeljagiello/ctf-skills3.4k—~2.3kAutomated safety check: NotesMIT
Challengewp-media/wp-rocket767—~674Automated safety check: PassGPL-2.0

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Questions about Agent Challenges

What does Agent Challenges do?

Agent skill for challenges - invoke with $agent-challenges. An agent skill from ruvnet/ruflo. Agent Challenges is an agent skill from ruvnet/ruflo.

How do I install Agent Challenges in Claude Code?

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

How do I install Agent Challenges in Codex?

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

Can I use Agent Challenges 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 agent-challenges -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-challenges, .gemini/skills/agent-challenges, .github/skills/agent-challenges and .opencode/skills/agent-challenges in your project.

What does Agent Challenges need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Challenges is instructions for the agent only.

Does Agent Challenges access the network?

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.

Is Agent Challenges safe to install?

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.

What licence does Agent Challenges use?

Agent Challenges 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 Agent Challenges use?

About 995 tokens (SKILL.md is roughly 4k 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 Agent Challenges?

Skills that share tags, products or a category with Agent Challenges: Challenge (alirezarezvani/claude-skills, 28k stars), Challenge (pedrohcgs/claude-code-my-workflow, 1.6k stars), Challenge Review (werf/werf, 4.7k stars) and Solve Challenge (ljagiello/ctf-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Challenges?

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.