vassiliylakhonin.github.io

Personal portfolio and CV site for Vassiliy Lakhonin, built for both humans and agents:

• Site: https://vassiliylakhonin.github.io/
• CV PDF: https://vassiliylakhonin.github.io/Vassiliy-Lakhonin_CV.pdf
• Services: https://vassiliylakhonin.github.io/services.html
• Agent profile: https://vassiliylakhonin.github.io/profile.md
• MCP (SSE): https://vassiliy-lakhonin-mcp-production.up.railway.app/sse
• MCP health: https://vassiliy-lakhonin-mcp-production.up.railway.app/health

Machine-readable:

• Agent discovery entrypoint: https://vassiliylakhonin.github.io/agent-discovery.md
• Agent readiness score: https://vassiliylakhonin.github.io/readiness.json
• Agent card: https://vassiliylakhonin.github.io/agent-card.json
• Resume JSON: https://vassiliylakhonin.github.io/resume.json
• Capabilities: https://vassiliylakhonin.github.io/capabilities.json
• Evidence: https://vassiliylakhonin.github.io/evidence.json
• Availability: https://vassiliylakhonin.github.io/availability.json
• Engagement intake: https://vassiliylakhonin.github.io/engage.json
• Engagement intake v2: https://vassiliylakhonin.github.io/engage.v2.json
• Interview story bank: https://vassiliylakhonin.github.io/stories.json
• Skills: https://vassiliylakhonin.github.io/skills.json
• Verification: https://vassiliylakhonin.github.io/verification.json
• Authority signals: https://vassiliylakhonin.github.io/authority.json
• Freshness snapshot: https://vassiliylakhonin.github.io/freshness.json
• Evals snapshot: https://vassiliylakhonin.github.io/evals.json
• Provenance snapshot: https://vassiliylakhonin.github.io/provenance.json

• Nonprofit Impact Orchestra: Agent-assisted nonprofit grant orchestration with human checkpoints.
• Global Think Tank Analyst: Structured geopolitical and policy analysis in think-tank style.
• Donor reporting quality and delivery reliability: Problem-action-result proof with measurable outcomes.

• Fit scoring template: https://vassiliylakhonin.github.io/fit-score-template.md
• Tracker schema: https://vassiliylakhonin.github.io/tracker-schema.md
• Story bank (Markdown): https://vassiliylakhonin.github.io/stories.md
• Story bank (JSON): https://vassiliylakhonin.github.io/stories.json
• Engagement intake v2: https://vassiliylakhonin.github.io/engage.v2.json

• Dual-surface design: content optimized for both human readers and AI agents.
• Citability-first case studies: each markdown case includes TL;DR, Evidence, Metrics, Context/Constraint blocks.
• Structured trust layer: verification + evidence + authority mapping files.
• Indexing-ready by default: robots.txt, sitemap.xml, llms.txt, JSON-LD.
• MCP integration: profile data available via local and hosted server.

.
├── index.md
├── profile.md
├── services.html
├── case-study-*.html / case-study-*.md
├── article-*.html
├── Vassiliy-Lakhonin_CV.pdf
├── agent-card.json
├── resume.json
├── capabilities.json
├── evidence.json
├── availability.json
├── engage.json
├── skills.json
├── verification.json
├── authority.json
├── llms.txt
├── humans.txt
├── robots.txt
├── sitemap.xml
├── schema/templates/*.json
├── scripts/geo_quick_audit.py
├── scripts/schema_audit.py
├── scripts/build_readiness_report.py
└── mcp/
    ├── server.py
    ├── requirements.txt
    └── railway.toml

git clone https://github.com/vassiliylakhonin/vassiliylakhonin.github.io.git
cd vassiliylakhonin.github.io
bundle exec jekyll serve

If Ruby/Jekyll is not set up, edit markdown/html/json directly and push to main.

python3.13 -m pip install -r mcp/requirements.txt
python3.13 mcp/server.py

Host allowlist for SSE/HTTP transport security:

export MCP_ALLOWED_HOSTS='vassiliy-lakhonin-mcp-production.up.railway.app,127.0.0.1:*,localhost:*'

If MCP_ALLOWED_HOSTS is not set, the server uses the same safe defaults above. This prevents Invalid Host header errors behind Railway while keeping DNS rebinding protection enabled.

Expected tools include: get_profile, get_resume, get_availability, get_capabilities, get_evidence, get_engage, get_agent_card, get_verification, get_skills, get_case_study, list_resources, search_profile.

• Internal link checks run on push/PR: .github/workflows/link-check.yml
• IndexNow submission on push: .github/workflows/indexing-push.yml
• GEO baseline audit (weekly + key-file changes): .github/workflows/geo-audit.yml
• Schema coverage audit (weekly + content changes): .github/workflows/schema-audit.yml
• Agent observability snapshot (weekly + key changes): .github/workflows/agent-observability.yml
• Optional Google Search Console submission via repository secrets

Quick checks locally:

python3 scripts/geo_quick_audit.py
python3 scripts/schema_audit.py
python3 scripts/build_readiness_report.py
python3 scripts/build_freshness_report.py
python3 scripts/build_evals_report.py
python3 scripts/build_provenance_report.py

See scoring rubric: docs/GEO_BASELINE.md

MIT