welcome

welcome is a skill for Claude Code from ololand-ai/ololand-plugins. It costs 32 tokens per session (456 once invoked), scanned A, original, Apache-2.0.

A first-connection guide to OloLand, an M&A due-diligence system for reviewing deals and their documents. It introduces available questions, analyses, valuation tools, and risk reports.

In plain words
What is it for?
Use it after connecting to discover ways to inspect deals, assess risks, compare transactions, run valuations, and test commercial real-estate assumptions.
Why use it?
It gives new users a starting point when they do not yet know which deal-review tools or questions are available.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ololand-dd plugin — 22 skills, 52 commands, 3 agents shipped together

Good fit Use it after connecting to discover ways to inspect deals, assess risks, compare transactions, run valuations, and test commercial real-estate assumptions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ololand-ai/ololand-plugins/welcome
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ololand-ai/ololand-plugins --skill welcome
Clone the repo
git clone --depth 1 https://github.com/ololand-ai/ololand-plugins

Made for: Claude Code.

Or install ololand-dd, the plugin that ships this one along with the rest of its 22 skills, 52 commands, 3 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for welcome

README.md
[![agentmods](https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/welcome.svg)](https://agentmods.dev/skills/ololand-ai/ololand-plugins/welcome)
Your own site
<a href="https://agentmods.dev/skills/ololand-ai/ololand-plugins/welcome"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/welcome.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 456 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.00456
Opus 5 $0.00016 $0.00228
Sonnet 5 $0.00006 $0.00091
Haiku 4.5 $0.00003 $0.00046

Measured 4d ago against content hash 7a0ac872a563, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

welcome scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/ololand-dd/skills/welcome/SKILL.md · 43 lines

What it actually says

Welcome to OloLand

You're connected to OloLand's M&A intelligence engine — 44 tools for institutional-grade due diligence.

What You Can Do

Ask about deals:

  • "What are the top risks for the Paragon Flight School deal?"
  • "Reconcile the revenue figures across the CIM and audited financials"
  • "Run a risk-adjusted DCF with sensitivity analysis"

Run analysis:

  • /dd-analyze — Bounded extraction, risk, and financial-snapshot pipeline; it does not run valuation, forensic, war-game, reconciliation, or memo engines
  • /valuation <deal_id> read all — inspect governed DCF/LBO and source-backed comps; use /valuation <deal_id> run <method> or /valuation <deal_id> refresh <method> only when you explicitly want a fresh model candidate
  • /risk-report — risk assessment across 67 categories / 311 risk factors
  • /similar-deals — Find comparable transactions from deal history
  • /war-game — Competitive strategy simulation

CRE underwriting:

  • run_cre_stress_test — Multi-scenario stress on debt service coverage
  • run_cre_debt_sizing — Size loans against DSCR / LTV / debt-yield constraints
  • verify_sponsor_assumptions — Cross-check sponsor proforma against comps and market data

Multi-turn conversations:

  • create_conversation_session / list_conversation_sessions / get_conversation_session_summary — Persist context across long-running deal investigations

Generate documents:

  • /talk-to-deal — Conversational deal Q&A
  • CIM and investment memo generation

Try It Now

A sample deal (Paragon Flight School) is loaded in your workspace. Start with:

"What are the key risks and opportunities for the Paragon Flight School acquisition?"

This will demonstrate OloLand's risk taxonomy, source provenance, and decision framework — the capabilities that generic LLMs can't replicate.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 43 lines · 32 tokens per session scan A 7a0ac872a563

Subscribe to this mod's changes

welcome is a skill published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 32 tokens to every session and 456 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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