deal-canvas

deal-canvas is a command for Claude Code from ololand-ai/ololand-plugins. It costs 31 tokens per session (1,127 once invoked), scanned A, original, Apache-2.0.

A command for creating or updating charts, key performance indicator rows, tables, and infographics on a saved deal canvas. Each value must come from a financial engine or a cited deal document.

In plain words
What is it for?
Use it to add or update deal-canvas charts, KPIs, tables, and infographics using financial metrics or document citations.
Why use it?
It prevents unsupported numbers from being added to deal visuals and keeps displayed values traceable to their source.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

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

Good fit Use it to add or update deal-canvas charts, KPIs, tables, and infographics using financial metrics or document citations.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/deal-canvas"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/deal-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,127 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 $0.00031 $0.01127
Opus 5 $0.00015 $0.00563
Sonnet 5 $0.00006 $0.00225
Haiku 4.5 $0.00003 $0.00113

Measured 8d ago against content hash 316ce4880b18, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deal-canvas 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 8d 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-canvas.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deal Canvas

Use this command when the user asks for a chart, graph, KPI summary, table, or infographic on the deal canvas — a persisted, dock-visible artifact, not a one-off markdown table in chat.

Usage

/deal-canvas <deal_id> chart <chart_type> "<title>" <x_axis_key> <series...>
/deal-canvas <deal_id> kpi "<title>" <items...>
/deal-canvas <deal_id> table "<title>" <columns...> <items...>
/deal-canvas <deal_id> infographic "<title>" <sections...>
/deal-canvas <deal_id> update <tile_id> <changed fields...>

The binding contract (applies to every kind)

Every numeric series, item, or column must be bound one of two ways — there is no free-text numeric value on this surface:

  • Engine-bound{"mode": "engine", "metric": <engine metric>} and OloLand fills the value from its own engines (financial snapshot / DCF / LBO). Never set unit/scale on an engine-bound value; they're ignored if present.
  • Cited{"mode": "cited", "citations": [{"document_id": <file in this deal>, "page": <n>}]} with the row values passed in data (charts) or inline on the item/column (KPI/table/infographic). Every cited series must carry at least one citation that resolves to a file in this deal, or the call is refused with error_code="uncited_series". For KPI rows, tables, and infographics specifically, a cited entry also requires an explicit unit (usd | percent | ratio | count) and, when unit="usd", an explicit scale (actual | thousands | millions | billions) — OloLand converts to canonical absolute USD before storing. Missing or invalid unit/scale is refused the same way, never defaulted.

Execution

  1. chart — call mcp__ololand__create_deal_chart(deal_id, chart_type, title, x_axis_key, series, data, filters, insights). chart_type is one of line, bar, area, scatter, pie, composed. data carries the rows for cited series only (ignored for engine series). Re-issuing an identical chart returns the existing tile (deduped: true) instead of minting a duplicate — don't apologize for or hide a dedupe response, just report the existing tile.
  2. kpi / table / infographic — call mcp__ololand__create_deal_artifact( deal_id, kind, title, items, columns, x_axis_key, data, sections, insights) with kind set to kpi_row, table, or infographic. Use kind="infographic" with 1-12 ordered sections for composite requests that combine several of the above. Never author raw HTML or sandbox files for this surface — the artifact system renders it.
  3. update — for any follow-up like "make it a bar chart" or "add EBITDA margin," call mcp__ololand__update_deal_artifact(deal_id, tile_id, ...) with the tile_id the create call returned, restating the full binding (series/items/columns/sections) — every value is re-verified against engines/citations exactly as on creation, so a partial restatement drops whatever isn't repeated. The prior spec is kept as a restorable version, so this is safe to iterate on.

Read the full file on GitHub · 83 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. 8d ago First seen · 83 lines · 31 tokens per session scan A 316ce4880b18

Subscribe to this mod's changes

deal-canvas is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,127 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.