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Due diligence

Skill damionrashford/RivalSearch-Plugin/skills/due-diligence

Claude Code Plugin with AI research agent skills powered by MCP. 10 MCP tools, 5 agent skills, 6 AI research agents via RivalSearchMCP. Zero API keys.

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npx -y skills add damionrashford/RivalSearch-Plugin --skill due-diligence

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Comprehensive due diligence on companies or individuals. Investigates background, product, financials, leadership, technology, risks, competitive position, and public reputation. Use when evaluating companies for investment, researching people, or making partnership decisions.

SKILL.md

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Due Diligence

Conduct due diligence research on: $ARGUMENTS

The argument may be a company name, person's name, product name, or URL. Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.

Step 1: Entity Identification

Use web_search twice:

  1. query: "$ARGUMENTS", num_results: 15, extract_content: true
  2. query: "$ARGUMENTS bio OR background OR career OR founder OR company OR about", num_results: 10

Determine if the subject is a company or an individual. Establish: full name, current role/mission, website, and key facts. Adapt subsequent steps accordingly.

Step 2: Digital Presence

Use map_website:

  • url: <primary_website>, mode: "research", max_pages: 10, max_depth: 2

Use content_operations to retrieve key pages:

  • operation: "retrieve" for homepage/profile, about, product/work, team/bio pages
  • operation: "analyze", content: <retrieved>, analysis_type: "business", extract_key_points: true, summarize: true

Step 3: Financial & Growth Signals

For companies:

Use web_search three times:

  1. query: "$ARGUMENTS funding raised investment", num_results: 10
  2. query: "$ARGUMENTS revenue growth customers", num_results: 10
  3. query: "$ARGUMENTS layoffs OR downsizing OR restructuring OR controversy", num_results: 10

For individuals:

Use web_search:

  • query: "$ARGUMENTS investments OR portfolio OR companies OR ventures", num_results: 10

Use news_aggregation:

  • query: "$ARGUMENTS", max_results: 15, time_range: "month"

Step 4: Leadership & People

Use web_search:

  • query: "$ARGUMENTS founder CEO leadership team", num_results: 10, extract_content: true

Use social_search:

  • query: "$ARGUMENTS CEO OR founder", platforms: ["reddit", "hackernews"], max_results_per_platform: 5

Use web_search:

  • query: "$ARGUMENTS glassdoor OR employee review OR culture", num_results: 5

For individuals — also search for:

  • query: "$ARGUMENTS interview OR podcast OR keynote OR conference", num_results: 10

Step 5: Technical Assessment

Use github_search:

  • query: "$ARGUMENTS", sort: "stars", max_results: 10, include_readme: true

Use web_search:

  • query: "$ARGUMENTS tech stack OR engineering OR architecture", num_results: 10

Use scientific_research:

  • operation: "academic_search", query: "$ARGUMENTS", max_results: 5

Step 6: Market & Competitive Position

Use web_search:

  • query: "$ARGUMENTS competitors alternatives market share", num_results: 10

Use social_search:

  • query: "$ARGUMENTS vs OR alternative OR comparison", platforms: ["reddit", "hackernews", "producthunt"], max_results_per_platform: 10

Step 7: Reputation & Risk Assessment

Use social_search:

  • query: "$ARGUMENTS", platforms: ["reddit", "hackernews", "producthunt", "medium"], max_results_per_platform: 10, time_filter: "year"

Use web_search:

  • query: "$ARGUMENTS review OR complaint OR problem OR issue OR controversy", num_results: 10

Use content_operations on any regulatory filings or key reports found:

  • operation: "retrieve", url: <document_url>, extraction_method: "markdown"

Step 8: Deep Content Analysis

For the 2-3 most informative pages found, use content_operations:

  • operation: "retrieve", url: <page_url>, extraction_method: "markdown"
  • operation: "analyze", content: <retrieved>, analysis_type: "general", extract_key_points: true, summarize: true

Step 9: Compile Report

For companies:

  1. Executive Summary — 2-3 paragraph overview with key findings
  2. Company Profile — Founded, mission, HQ, size, key facts
  3. Product & Market — Offerings, pricing, target market, customer evidence
  4. Financial Signals — Funding history, growth indicators, burn rate signals
  5. Leadership & Team — Key executives, backgrounds, culture signals
  6. Technical Assessment — Stack, open source, IP, engineering quality
  7. Competitive Position — Landscape, differentiation, market share signals
  8. Risk Assessment — Table format:
    Risk CategoryLevelEvidence
    FinancialLow/Medium/High...
    TechnicalLow/Medium/High...
    MarketLow/Medium/High...
    Legal/RegulatoryLow/Medium/High...
    ReputationalLow/Medium/High...
  9. Red Flags — Concerning signals discovered
  10. Green Flags — Positive indicators and strengths
  11. Information Gaps — What couldn't be determined
  12. Sources — All URLs consulted with brief context

For individuals:

  1. Profile Summary — 2-3 paragraph overview of who this person is
  2. Key Facts — Current role, company, location, notable achievements
  3. Career Timeline — Professional history in reverse chronological order
  4. Public Presence — Websites, writing, speaking, media appearances
  5. Community Reputation — What others say (with sources)
  6. Technical Contributions — Open source, papers, patents
  7. Media Coverage — Recent press and interviews
  8. Notable Connections — Companies, investors, co-founders, collaborators
  9. Red Flags — Any concerning signals
  10. Green Flags — Positive indicators
  11. Information Gaps — What couldn't be determined
  12. Sources — All URLs consulted

Use clean markdown. Cite every claim with Source Name format. Only include publicly available information.

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