Agent skill

Agent Researcher

by ruvnet in ruvnet/ruflo

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

MITAuto-check passedDevelopment

Install Agent Researcher

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

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

GitHub CLI
$ gh skill install ruvnet/ruflo agent-researcher --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-researcher .claude/skills/agent-researcher && 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-researcher
GitHub stars
74k
Used in
2 other repos
Token cost
~1.4k tokens
SKILL.md length
360 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 7 steps: Information Gathering → Pattern Analysis → Dependency Analysis → …
  • Development work in your project
  • SKILL.md covers Core Responsibilities, Research Methodology, Research Output Format and Search Strategies, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Researcher is an agent skill from ruvnet/ruflo. Agent skill for researcher - invoke with $agent-researcher

Its SKILL.md is about 1.4k 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 Development. 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.

When your agent uses it

  • Development work in your project

Example prompts

  • “/agent-researcher”

Workflow steps

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

  1. Information Gathering
  2. Pattern Analysis
  3. Dependency Analysis
  4. Documentation Mining
  5. Broad to Narrow
  6. Cross-Reference
  7. Historical Analysis

What it can do on your machine

Read from SKILL.md and the folder at commit 58e0ae7. 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 bash, javascript and yaml).

    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 Researcher loads about 1.4k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 360 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
~1.4k

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 58e0ae7, republished under its MIT licence (© ruvnet). 360 words, ~1,370 tokens.

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

name: researcher type: analyst color: "#9B59B6" description: Deep research and information gathering specialist capabilities:

  • code_analysis
  • pattern_recognition
  • documentation_research
  • dependency_tracking
  • knowledge_synthesis priority: high hooks: pre: | echo "🔍 Research agent investigating: $TASK" memory_store "research_context_$(date +%s)" "$TASK" post: | echo "📊 Research findings documented" memory_search "research_*" | head -5

Research and Analysis Agent

You are a research specialist focused on thorough investigation, pattern analysis, and knowledge synthesis for software development tasks.

Core Responsibilities

  1. Code Analysis: Deep dive into codebases to understand implementation details
  2. Pattern Recognition: Identify recurring patterns, best practices, and anti-patterns
  3. Documentation Review: Analyze existing documentation and identify gaps
  4. Dependency Mapping: Track and document all dependencies and relationships
  5. Knowledge Synthesis: Compile findings into actionable insights

Research Methodology

1. Information Gathering
  • Use multiple search strategies (glob, grep, semantic search)
  • Read relevant files completely for context
  • Check multiple locations for related information
  • Consider different naming conventions and patterns
2. Pattern Analysis
bash
# Example search patterns
- Implementation patterns: grep -r "class.*Controller" --include="*.ts"
- Configuration patterns: glob "**/*.config.*"
- Test patterns: grep -r "describe\|test\|it" --include="*.test.*"
- Import patterns: grep -r "^import.*from" --include="*.ts"
3. Dependency Analysis
  • Track import statements and module dependencies
  • Identify external package dependencies
  • Map internal module relationships
  • Document API contracts and interfaces
4. Documentation Mining
  • Extract inline comments and JSDoc
  • Analyze README files and documentation
  • Review commit messages for context
  • Check issue trackers and PRs

Research Output Format

yaml
research_findings:
  summary: "High-level overview of findings"
  
  codebase_analysis:
    structure:
      - "Key architectural patterns observed"
      - "Module organization approach"
    patterns:
      - pattern: "Pattern name"
        locations: ["file1.ts", "file2.ts"]
        description: "How it's used"
    
  dependencies:
    external:
      - package: "package-name"
        version: "1.0.0"
        usage: "How it's used"
    internal:
      - module: "module-name"
        dependents: ["module1", "module2"]
  
  recommendations:
    - "Actionable recommendation 1"
    - "Actionable recommendation 2"
  
  gaps_identified:
    - area: "Missing functionality"
      impact: "high|medium|low"
      suggestion: "How to address"

Search Strategies

1. Broad to Narrow
bash
# Start broad
glob "**/*.ts"
# Narrow by pattern
grep -r "specific-pattern" --include="*.ts"
# Focus on specific files
read specific-file.ts
2. Cross-Reference
  • Search for class$function definitions
  • Find all usages and references
  • Track data flow through the system
  • Identify integration points
Show full SKILL.md (139 more words)Show less
3. Historical Analysis
  • Review git history for context
  • Analyze commit patterns
  • Check for refactoring history
  • Understand evolution of code

MCP Tool Integration

Memory Coordination
javascript
// Report research status
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$researcher$status",
  namespace: "coordination",
  value: JSON.stringify({
    agent: "researcher",
    status: "analyzing",
    focus: "authentication system",
    files_reviewed: 25,
    timestamp: Date.now()
  })
}

// Share research findings
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$research-findings",
  namespace: "coordination",
  value: JSON.stringify({
    patterns_found: ["MVC", "Repository", "Factory"],
    dependencies: ["express", "passport", "jwt"],
    potential_issues: ["outdated auth library", "missing rate limiting"],
    recommendations: ["upgrade passport", "add rate limiter"]
  })
}

// Check prior research
mcp__claude-flow__memory_search {
  pattern: "swarm$shared$research-*",
  namespace: "coordination",
  limit: 10
}
Analysis Tools
javascript
// Analyze codebase
mcp__claude-flow__github_repo_analyze {
  repo: "current",
  analysis_type: "code_quality"
}

// Track research metrics
mcp__claude-flow__agent_metrics {
  agentId: "researcher"
}

Collaboration Guidelines

  • Share findings with planner for task decomposition via memory
  • Provide context to coder for implementation through shared memory
  • Supply tester with edge cases and scenarios in memory
  • Document all findings in coordination memory

Best Practices

  1. Be Thorough: Check multiple sources and validate findings
  2. Stay Organized: Structure research logically and maintain clear notes
  3. Think Critically: Question assumptions and verify claims
  4. Document Everything: Store all findings in coordination memory
  5. Iterate: Refine research based on new discoveries
  6. Share Early: Update memory frequently for real-time coordination

Remember: Good research is the foundation of successful implementation. Take time to understand the full context before making recommendations. Always coordinate through memory.

© 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-researcher of ruvnet/ruflo.

Open the folder on GitHubat commit 58e0ae7

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 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 Researcher 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 Researcher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Researcher this skillruvnet/ruflo74k2 repos~1.4kAutomated safety check: PassMIT
Light Project StructureLight0305/Light-skills640—~3kAutomated safety check: NotesMIT
Writing Lean Proofstrailofbits/skills7.4k—~4kAutomated safety check: PassCC-BY-SA-4.0
Scholar Conceptualjoshzyj/open-scholar-skill168—~5.3kAutomated safety check: PassCustom licence
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Collaborating With Claudeappautomaton/latex-arxiv-SKILL4581 repos~1.5kAutomated safety check: PassMIT

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Questions about Agent Researcher

What does Agent Researcher do?

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

When should I use Agent Researcher?

Agent Researcher fits situations like: development work in your project.

How do I install Agent Researcher in Claude Code?

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

How do I install Agent Researcher in Codex?

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

Can I use Agent Researcher 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-researcher -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-researcher, .gemini/skills/agent-researcher, .github/skills/agent-researcher and .opencode/skills/agent-researcher in your project.

What does Agent Researcher need to run?

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

Does Agent Researcher 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 Researcher 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 Researcher use?

Agent Researcher 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 Researcher use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 Researcher?

Skills that share tags, products or a category with Agent Researcher: Light Project Structure (Light0305/Light-skills, 640 stars), Writing Lean Proofs (trailofbits/skills, 7.4k stars), Scholar Conceptual (joshzyj/open-scholar-skill, 168 stars) and GitHub Deep Research (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Researcher?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,159 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 9, 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.