A command for starting an OloLand investment deal from a public-company ticker or a private-company name. For public companies, it gathers annual filings and five years of financial data; for private companies, it starts with web research.

Use it to create a deal for a public or private company, load filings and financials for public companies, and add a public IPO filing when an eligible private company has one.

Collecting the basic documents and financial history for a deal can take time and lead to incomplete records. This command seeds the deal workspace with the available starting material.

new-deal — Command for Claude Code by ololand-ai/ololand-plugins

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.

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, 54 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/new-deal/github.svg)](https://agentmods.dev/commands/ololand-ai/ololand-plugins/new-deal)

Your own site

<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/new-deal"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/new-deal/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/new-deal"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/new-deal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 75 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,399 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00075	$0.01399
Opus 5.5	$0.00030	$0.00560
Sonnet 5.5	$0.00015	$0.00280
Haiku 4.5	$0.00007	$0.00140

Measured 21d ago against content hash 1067e317eb11, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

new-deal scanned grade B with 1 finding 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 21d 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.

Subtle steeringmediumPrompt injection

Instructions that bias recommendations or shape behaviour without the user noticing.

- For a private target that has filed an S-1: the S-1 is auto-ingested during creation. Confirm via `list_deal_documents(deal_id)` — an S-1 in the data room shows up as a normal document; a detected-but-not-yet-ingested

plugins/ololand-dd/commands/new-deal.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

New Deal

Create an OloLand deal in seconds. Type a public ticker (e.g. SNOW) and the system auto-pulls the latest canonical annual filing (10-K, 20-F, or 40-F, with substantive exhibits) from the relevant filing source and reports the backend fundamentals source and coverage actually available for that issuer (SEC when enabled). Coverage may be partial or unavailable; a queued filing task is not evidence that a complete financial set exists. Type a private company name and it seeds the workspace from web research — and if that private target has filed a public S-1 / IPO-registration statement, the s1_watcher pipeline auto-fetches the S-1 into the data room so the analysis can cite it by S-1 page. A confidential DRS draft cannot be ingested — its body is sealed at the SEC until conversion to a public S-1, so the read stays press-based until then.

Usage

/new-deal <company name or ticker>

Arguments

<company name or ticker> (required) — Free text. Examples: Snowflake, SNOW, MSFT, Stripe, stripe.com.

Execution

The instruction below is for the model executing this command.

Developer can create deals. Developer is a bounded single-deal trial — create_deal runs on Developer (one active deal, metered against the monthly credit budget). Never pre-refuse deal creation; if the one-deal limit is reached, surface the tool's upgrade CTA.

Resolve the company first. Call the resolve_company MCP tool with the user's query. If the user typed a clean ticker (SNOW, MSFT, BRK.B), pass hint="public". Otherwise leave hint unset.
Show the candidates. If resolve_company returns multiple candidates above 0.7 confidence, list them concisely (top 3-5) with name, ticker (if any), exchange, and Public/Private classification. Ask which one the user means. If a single high-confidence match comes back, you can skip the confirmation.
Create the deal. Call create_deal with:
- query — the user's original text (preserved for the audit trail).
- ticker_override — set to the picked candidate's ticker (uppercased) if the user disambiguated. This bypasses the resolver so we don't risk a different result the second time.
- cik_override — set to the picked candidate's CIK if available.
- hint — "public" or "private" if the user was explicit.
- analysis_policy — "screen" (default) or "full". Prefer this canonical analysis-depth control. The legacy deal_mode ("screening" / "formal_dd") is a compatibility alias; ask only if the user signals interest in formal DD.

Read the full file on GitHub · 63 lines

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.

21d ago Changed · +4 tokens per session 1067e317eb11
1mo ago First seen · 63 lines · 71 tokens per session scan B 3296b7fdf921

Subscribe to this mod's changes

new-deal is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 75 tokens to every session and 1,399 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Finance and fintech

new-deal

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade B, and why

Subtle steeringmediumPrompt injection

How it starts

New Deal

Usage

Arguments

Execution

What this file has done since we first saw it

Other commands, from other repositories

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valuation-methods

merit-reconcile

cost-per-task

audit-checklist

scan