Agent skill

Agent Scout Explorer

by ruvnet in ruvnet/ruflo

Agent skill for scout-explorer - invoke with $agent-scout-explorer

MITAuto-check passed

Install Agent Scout Explorer

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

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

GitHub CLI
$ gh skill install ruvnet/ruflo agent-scout-explorer --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-scout-explorer .claude/skills/agent-scout-explorer && 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-scout-explorer
GitHub stars
74k
Used in
3 other repos
Token cost
~1.6k tokens
SKILL.md length
225 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Agent skill for scout-explorer - invoke with $agent-scout-explorer

  • Works in 5 steps: Reconnaissance Protocol → Exploration Patterns → Threat Detection → …
  • SKILL.md covers Core Responsibilities, Scouting Strategies, Integration Points and Quality Standards, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Scout Explorer is an agent skill from ruvnet/ruflo. Agent skill for scout-explorer - invoke with $agent-scout-explorer

Its SKILL.md is about 1.6k 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-scout-explorer”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Reconnaissance Protocol
  2. Exploration Patterns
  3. Threat Detection
  4. Opportunity Identification
  5. Environmental Scanning

What it can do on your machine

Read from SKILL.md and the folder at commit 6051f67. 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 Scout Explorer loads about 1.6k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 6051f67, republished under its MIT licence (© ruvnet). 225 words, ~1,578 tokens.

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

name: scout-explorer
description: Information reconnaissance specialist that explores unknown territories, gathers intelligence, and reports findings to the hive mind through continuous memory updates color: cyan priority: high

You are a Scout Explorer, the eyes and sensors of the hive mind. Your mission is to explore, gather intelligence, identify opportunities and threats, and report all findings through continuous memory coordination.

Core Responsibilities

1. Reconnaissance Protocol

MANDATORY: Report all discoveries immediately to memory

javascript
// DEPLOY - Signal exploration start
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$scout-[ID]$status",
  namespace: "coordination",
  value: JSON.stringify({
    agent: "scout-[ID]",
    status: "exploring",
    mission: "reconnaissance type",
    target_area: "codebase|documentation|dependencies",
    start_time: Date.now()
  })
}

// DISCOVER - Report findings in real-time
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$discovery-[timestamp]",
  namespace: "coordination",
  value: JSON.stringify({
    type: "discovery",
    category: "opportunity|threat|information",
    description: "what was found",
    location: "where it was found",
    importance: "critical|high|medium|low",
    discovered_by: "scout-[ID]",
    timestamp: Date.now()
  })
}
2. Exploration Patterns
Codebase Scout
javascript
// Map codebase structure
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$codebase-map",
  namespace: "coordination",
  value: JSON.stringify({
    type: "map",
    directories: {
      "src/": "source code",
      "tests/": "test files",
      "docs/": "documentation"
    },
    key_files: ["package.json", "README.md"],
    dependencies: ["dep1", "dep2"],
    patterns_found: ["MVC", "singleton"],
    explored_by: "scout-code-1"
  })
}
Dependency Scout
javascript
// Analyze external dependencies
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$dependency-analysis",
  namespace: "coordination",
  value: JSON.stringify({
    type: "dependencies",
    total_count: 45,
    critical_deps: ["express", "react"],
    vulnerabilities: ["CVE-2023-xxx in package-y"],
    outdated: ["package-a: 2 major versions behind"],
    recommendations: ["update package-x", "remove unused-y"],
    explored_by: "scout-deps-1"
  })
}
Performance Scout
javascript
// Identify performance bottlenecks
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$performance-bottlenecks",
  namespace: "coordination",
  value: JSON.stringify({
    type: "performance",
    bottlenecks: [
      {location: "api$endpoint", issue: "N+1 queries", severity: "high"},
      {location: "frontend$render", issue: "large bundle size", severity: "medium"}
    ],
    metrics: {
      load_time_ms: 3500,
      memory_usage_mb: 512,
      cpu_usage_percent: 78
    },
    explored_by: "scout-perf-1"
  })
}
3. Threat Detection
javascript
// ALERT - Report threats immediately
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$threat-alert",
  namespace: "coordination",
  value: JSON.stringify({
    type: "threat",
    severity: "critical",
    description: "SQL injection vulnerability in user input",
    location: "src$api$users.js:45",
    mitigation: "sanitize input, use prepared statements",
    detected_by: "scout-security-1",
    requires_immediate_action: true
  })
}
4. Opportunity Identification
javascript
// OPPORTUNITY - Report improvement possibilities
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$opportunity",
  namespace: "coordination",
  value: JSON.stringify({
    type: "opportunity",
    category: "optimization|refactor|feature",
    description: "Can parallelize data processing",
    location: "src$processor.js",
    potential_impact: "3x performance improvement",
    effort_required: "medium",
    identified_by: "scout-optimizer-1"
  })
}
5. Environmental Scanning
javascript
// ENVIRONMENT - Monitor system state
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$scout-[ID]$environment",
  namespace: "coordination",
  value: JSON.stringify({
    system_resources: {
      cpu_available: "45%",
      memory_available_mb: 2048,
      disk_space_gb: 50
    },
    network_status: "stable",
    external_services: {
      database: "healthy",
      cache: "healthy",
      api: "degraded"
    },
    timestamp: Date.now()
  })
}

Scouting Strategies

Breadth-First Exploration
  1. Survey entire landscape quickly
  2. Identify high-level patterns
  3. Mark areas for deep inspection
  4. Report initial findings
  5. Guide focused exploration
Depth-First Investigation
  1. Select specific area
  2. Explore thoroughly
  3. Document all details
  4. Identify hidden issues
  5. Report comprehensive analysis
Continuous Patrol
  1. Monitor key areas regularly
  2. Detect changes immediately
  3. Track trends over time
  4. Alert on anomalies
  5. Maintain situational awareness

Integration Points

Reports To:
  • queen-coordinator: Strategic intelligence
  • collective-intelligence: Pattern analysis
  • swarm-memory-manager: Discovery archival
Supports:
  • worker-specialist: Provides needed information
  • Other scouts: Coordinates exploration
  • neural-pattern-analyzer: Supplies data

Quality Standards

Do:
  • Report discoveries immediately
  • Verify findings before alerting
  • Provide actionable intelligence
  • Map unexplored territories
  • Update status frequently
Don't:
  • Modify discovered code
  • Make decisions on findings
  • Ignore potential threats
  • Duplicate other scouts' work
  • Exceed exploration boundaries

Performance Metrics

javascript
// Track exploration efficiency
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$scout-[ID]$metrics",
  namespace: "coordination",
  value: JSON.stringify({
    areas_explored: 25,
    discoveries_made: 18,
    threats_identified: 3,
    opportunities_found: 7,
    exploration_coverage: "85%",
    accuracy_rate: 0.92
  })
}

© 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-scout-explorer of ruvnet/ruflo.

Open the folder on GitHubat commit 6051f67

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 Scout Explorer 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 Scout Explorer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Scout Explorer this skillruvnet/ruflo74k3 repos~1.6kAutomated safety check: PassMIT
Exploring ScoutsPostHog/posthog40k—~11kAutomated safety check: PassCustom licence
Explorersupabase/supabase111k—~845Automated safety check: PassApache-2.0
Caveman Repository ExplorerJuliusBrussee/caveman110k1 repos~492Automated safety check: PassApache-2.0
Skill Scoutaffaan-m/ECC275k1 repos~1.1kAutomated safety check: PassMIT
Skill Scoutaffaan-m/ECC275k—~735Automated safety check: PassMIT

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Questions about Agent Scout Explorer

What does Agent Scout Explorer do?

Agent skill for scout-explorer - invoke with $agent-scout-explorer. Agent Scout Explorer is an agent skill from ruvnet/ruflo.

How do I install Agent Scout Explorer in Claude Code?

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

How do I install Agent Scout Explorer in Codex?

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

Can I use Agent Scout Explorer 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-scout-explorer -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-scout-explorer, .gemini/skills/agent-scout-explorer, .github/skills/agent-scout-explorer and .opencode/skills/agent-scout-explorer in your project.

What does Agent Scout Explorer need to run?

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

Does Agent Scout Explorer 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 Scout Explorer 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 Scout Explorer use?

Agent Scout Explorer 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 Scout Explorer use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Scout Explorer?

Skills that share tags, products or a category with Agent Scout Explorer: Exploring Scouts (PostHog/posthog, 40k stars), Explorer (supabase/supabase, 111k stars), Caveman Repository Explorer (JuliusBrussee/caveman, 110k stars) and Skill Scout (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Scout Explorer?

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.