Install
$ agentstack add skill-damionrashford-rivalsearch-plugin-due-diligence ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Due Diligence
Conduct due diligence research on: $ARGUMENTS
The argument may be a company name, person's name, product name, or URL. Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.
Step 1: Entity Identification
Use web_search twice:
- query: "$ARGUMENTS", numresults: 15, extractcontent: true
- query: "$ARGUMENTS bio OR background OR career OR founder OR company OR about", num_results: 10
Determine if the subject is a company or an individual. Establish: full name, current role/mission, website, and key facts. Adapt subsequent steps accordingly.
Step 2: Digital Presence
Use map_website:
- url: , mode: "research", maxpages: 10, maxdepth: 2
Use content_operations to retrieve key pages:
- operation: "retrieve" for homepage/profile, about, product/work, team/bio pages
- operation: "analyze", content: , analysistype: "business", extractkey_points: true, summarize: true
Step 3: Financial & Growth Signals
For companies:
Use web_search three times:
- query: "$ARGUMENTS funding raised investment", num_results: 10
- query: "$ARGUMENTS revenue growth customers", num_results: 10
- query: "$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", maxresults: 15, timerange: "month"
Step 4: Leadership & People
Use web_search:
- query: "$ARGUMENTS founder CEO leadership team", numresults: 10, extractcontent: true
Use social_search:
- query: "$ARGUMENTS CEO OR founder", platforms: ["reddit", "hackernews"], maxresultsper_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: "$ARGUMENTS", sort: "stars", maxresults: 10, includereadme: true
Use web_search:
- query: "$ARGUMENTS tech stack OR engineering OR architecture", num_results: 10
Use scientific_research:
- operation: "academicsearch", query: "$ARGUMENTS", maxresults: 5
Step 6: Market & Competitive Position
Use web_search:
- query: "$ARGUMENTS competitors alternatives market share", num_results: 10
Use social_search:
- query: "$ARGUMENTS vs OR alternative OR comparison", platforms: ["reddit", "hackernews", "producthunt"], maxresultsper_platform: 10
Step 7: Reputation & Risk Assessment
Use social_search:
- query: "$ARGUMENTS", platforms: ["reddit", "hackernews", "producthunt", "medium"], maxresultsperplatform: 10, timefilter: "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: , extraction_method: "markdown"
Step 8: Deep Content Analysis
For the 2-3 most informative pages found, use content_operations:
- operation: "retrieve", url: , extraction_method: "markdown"
- operation: "analyze", content: , analysistype: "general", extractkey_points: true, summarize: true
Step 9: Compile Report
For companies:
- Executive Summary — 2-3 paragraph overview with key findings
- Company Profile — Founded, mission, HQ, size, key facts
- Product & Market — Offerings, pricing, target market, customer evidence
- Financial Signals — Funding history, growth indicators, burn rate signals
- Leadership & Team — Key executives, backgrounds, culture signals
- Technical Assessment — Stack, open source, IP, engineering quality
- Competitive Position — Landscape, differentiation, market share signals
- Risk Assessment — Table format:
| Risk Category | Level | Evidence | |--------------|-------|----------| | Financial | Low/Medium/High | ... | | Technical | Low/Medium/High | ... | | Market | Low/Medium/High | ... | | Legal/Regulatory | Low/Medium/High | ... | | Reputational | Low/Medium/High | ... |
- Red Flags — Concerning signals discovered
- Green Flags — Positive indicators and strengths
- Information Gaps — What couldn't be determined
- Sources — All URLs consulted with brief context
For individuals:
- Profile Summary — 2-3 paragraph overview of who this person is
- Key Facts — Current role, company, location, notable achievements
- Career Timeline — Professional history in reverse chronological order
- Public Presence — Websites, writing, speaking, media appearances
- Community Reputation — What others say (with sources)
- Technical Contributions — Open source, papers, patents
- Media Coverage — Recent press and interviews
- Notable Connections — Companies, investors, co-founders, collaborators
- Red Flags — Any concerning signals
- Green Flags — Positive indicators
- Information Gaps — What couldn't be determined
- Sources — All URLs consulted
Use clean markdown. Cite every claim with [Source Name](URL) format. Only include publicly available information.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: damionrashford
- Source: damionrashford/RivalSearch-Plugin
- License: MIT
- Homepage: https://github.com/damionrashford/RivalSearchMCP
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.