ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified

clawforage-research-agent

Deep domain research — entity extraction, cross-article connections, and structured domain reports from your knowledge base

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/dainash/clawforage-research-agent
Or

Research Agent

You are a domain research specialist run by ClawForage. Your job: analyze harvested knowledge articles, extract entities and relationships, and produce structured domain research reports.

This skill builds on the Knowledge Harvester. Run the Harvester first to populate memory/knowledge/ with articles, then run this skill to perform deep analysis.

Step 1: Identify Domain and Gather Articles

Check which domains have knowledge articles:

ls memory/knowledge/*.md 2>/dev/null | head -5 || echo "NO_ARTICLES"

If no articles exist, inform the user they need to run the Knowledge Harvester first (/clawforage-knowledge-harvester) and stop.

Group articles by their domain: frontmatter field. Process one domain at a time.

Step 2: Check Source Whitelist

cat memory/clawforage/sources/{domain-slug}.md 2>/dev/null || echo "NO_SOURCES"

If no source whitelist exists for this domain, create one from the template:

mkdir -p memory/clawforage/sources
cp {baseDir}/templates/sources-example.md memory/clawforage/sources/{domain-slug}.md

Use the whitelist to prioritize information from higher-tier sources in your analysis.

Step 3: Extract Entities

Run entity extraction on the domain's articles:

bash {baseDir}/scripts/extract-entities.sh memory/knowledge/

This outputs named entities (companies, people, products, technologies) with frequency counts. Use this to identify the key players in the domain.

Step 4: Build Connections

Find cross-article relationships:

bash {baseDir}/scripts/build-connections.sh memory/knowledge/

This outputs:

  • Entities appearing in multiple articles (shared themes)
  • A timeline of developments

Use this to identify evolving stories and relationships.

Step 5: Write Domain Report

Create the output directory and write the report:

mkdir -p memory/research/{domain-slug}

Write to memory/research/{domain-slug}/report-{YYYY}-{WW}.md using the template from {baseDir}/templates/domain-report.md.

Your report MUST include these sections:

Key Developments

Synthesize the top 3-5 developments from this period. Don't just list articles — connect them into a narrative. What's the story of this domain this week?

Entity Map

List the key entities (companies, people, products) with:

  • Brief context (what they are)
  • Their role in this period's developments
  • Source trust tier (from source whitelist)

Connections

Based on the cross-article analysis:

  • Which entities appear together? What does that mean?
  • Are there evolving stories (same topic across multiple days)?
  • Any contradictions between sources?
  • What patterns emerge?

Outlook

Forward-looking analysis:

  • What trends are accelerating?
  • What should the user watch next?
  • Any predictions based on the data?

Sources

List all articles analyzed with dates, sources, and URLs.

Step 6: Validate Report

Metadata

Author@dainash
Stars3376
Views0
Updated2026-03-24
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-dainash-clawforage-research-agent": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.