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.
npx skills add ololand-ai/ololand-plugins --skill welcomegit clone --depth 1 https://github.com/ololand-ai/ololand-pluginsWrote 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.
[](https://agentmods.dev/skills/ololand-ai/ololand-plugins/welcome)<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>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.
| Model | Per session | Once 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 |
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.
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 coveragerun_cre_debt_sizing— Size loans against DSCR / LTV / debt-yield constraintsverify_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.
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.
- 4d ago First seen · 43 lines · 32 tokens per session scan A 7a0ac872a563
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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