deal-search

deal-search is a command for Claude Code from ololand-ai/ololand-plugins. It costs 44 tokens per session (881 once invoked), scanned A, original, Apache-2.0.

A command for searching a deal's data room, the document collection used during an investment or business transaction. It searches PDFs, financial records, and legal documents by meaning or by exact document structure.

In plain words
What is it for?
Use it to find topics such as revenue rules, customer concentration, change-of-control clauses, EBITDA adjustments, and other deal details.
Why use it?
It reduces the time spent manually searching large deal-document collections and helps locate supporting pages and excerpts.

Command 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 to find topics such as revenue rules, customer concentration, change-of-control clauses, EBITDA adjustments, and other deal details.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/ololand-ai/ololand-plugins/deal-search
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, 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 deal-search

README.md
[![agentmods](https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/deal-search/github.svg)](https://agentmods.dev/commands/ololand-ai/ololand-plugins/deal-search)
Your own site
<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/deal-search"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/deal-search/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.

agentmods 80×15 button for deal-search

Your own site · 80×15
<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/deal-search"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/deal-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 881 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 $0.00044 $0.00881
Opus 5 $0.00022 $0.00441
Sonnet 5 $0.00009 $0.00176
Haiku 4.5 $0.00004 $0.00088

Measured 9d ago against content hash bf6c8113d45f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deal-search 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 9d 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/commands/deal-search.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search across all documents in a deal's data room using hybrid search (dense + sparse + rerank).

Usage

/deal-search <deal_id> <query>

Arguments

  • deal_id (required) — The deal to search within.
  • query (required) — Natural language search query.

Execution

  1. Call search_deal_documents with the deal_id and query.
  2. Present results with:
    • Document name and page number
    • Relevant excerpt (highlighted match)
    • Relevance score
  3. If the query implies a financial figure, cross-reference with get_financial_snapshot to check consistency.

Examples

  • /deal-search deal123 customer concentration risk
  • /deal-search deal123 revenue recognition policy
  • /deal-search deal123 change of control provisions
  • /deal-search deal123 EBITDA adjustments and add-backs

Document navigation primitives

Semantic search (above) answers "what's relevant to this meaning." These tools answer "I know (or can find) exactly where this is" — literal path- and structure-based access to the same data-room text, complementing search_deal_documents (semantic) and grep_filing (SEC-filing chunks).

  • Listmcp__ololand__list_deal_files(deal_id) returns every document's data-room path, file_id, category, size, and modified time. Call this before read_deal_file / grep_deal_files to see what exists.
  • Readmcp__ololand__read_deal_file(path, deal_id, offset, limit) reads a known document's full text by data-room path, paginated by line (frontmatter stripped, file_id carried for citation).
  • Grepmcp__ololand__grep_deal_files(pattern, deal_id, glob, case_sensitive, max_results) is literal/regex pattern matching over the markdown mirror — use this instead of search_deal_documents when the user needs an exact string or regex match, not a meaning-based hit. glob scopes to a folder/type, e.g. financials/*.
  • Read a structural sectionmcp__ololand__read_section(deal_id, file_id, section) reads a named section end-to-end (e.g. "Item 7. MD&A", "Note 11", "Risk Factors", "Consolidated Balance Sheet"). Section matching is case-insensitive substring; requires file_id from list_deal_files. Documents without structural sections return the full document instead (matched_field="document"); a near-miss on a structured document returns available_sections to retry against.
  • Read a structured tablemcp__ololand__read_table(deal_id, file_id, table_label) returns a document-graph TableNode as typed rows × columns with cell-level span IDs — not chunked text, so the row/column structure survives. Returns an error if the graph has no matching table; there is no chunk-based fallback for this one, deliberately, since chunking would destroy exactly the structure this tool exists to preserve.
  • Read a financial-statement notemcp__ololand__read_note(deal_id, file_id, note_number) reads a numbered note in full, including its outgoing cross_references — follow a Note 11 → Note 8 → Note 18 chain with repeated calls, or list_cross_references for the whole graph at once.

Read the full file on GitHub · 75 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.

  1. 9d ago First seen · 75 lines · 44 tokens per session scan A bf6c8113d45f

Subscribe to this mod's changes

deal-search is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 44 tokens to every session and 881 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 2026-08-31.