conflicts

conflicts is a command for Claude Code from ololand-ai/ololand-plugins. It costs 95 tokens per session (1,368 once invoked), scanned A, original, Apache-2.0.

A document comparison that finds places where deal materials disagree, such as revenue, dates, ownership, terms, or obligations. It cites the documents and pages containing each conflicting statement.

In plain words
What is it for?
Use it to compare CIMs, audited financials, cap tables, LOIs, SPAs, and disclosure schedules and create a traceable list of review items.
Why use it?
It prevents reviewers from relying on inconsistent information spread across a data room.

Command for Claude Code

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

Part of the ololand-forensic-qoe plugin — 10 skills, 8 commands shipped together

Good fit Use it to compare CIMs, audited financials, cap tables, LOIs, SPAs, and…

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/ololand-ai/ololand-plugins/conflicts
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-forensic-qoe, the plugin that ships this one along with the rest of its 10 skills, 8 commands.

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 conflicts

README.md
[![agentmods](https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/conflicts.svg)](https://agentmods.dev/commands/ololand-ai/ololand-plugins/conflicts)
Your own site
<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/conflicts"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/conflicts.svg" alt="Measured on agentmods" height="20"></a>
Per session 95 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,368 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 $0.00095 $0.01368
Opus 5 $0.00048 $0.00684
Sonnet 5 $0.00019 $0.00274
Haiku 4.5 $0.00010 $0.00137

Measured 3d ago against content hash 9292b304dce9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

conflicts 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 3d 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-forensic-qoe/commands/conflicts.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/conflicts (cross-document conflict detection)

Runs OloLand's Deal Document Conflict Detector over a deal's ingested documents. It reads the data room against itself and surfaces places where two documents disagree — a revenue figure that differs between the CIM and the audited financials, an ownership percentage that moves between the cap table and the SPA, a close date that conflicts across the LOI and the disclosure schedule. Each conflict is traced to the specific documents (and pages) that disagree, so it is a review item you can act on, not a vibe.

This is the discrepancy-hunting complement to /verify: /verify checks that the figures an artifact states are supported by the corpus; /conflicts hunts for places the corpus contradicts itself.

Usage

/conflicts <deal_id>

Arguments

  • deal_id (required) — the OloLand deal whose ingested documents to scan. Requires a deal with a populated data room (multiple documents — there is nothing to cross-check in a single file).

Execution

This is an asynchronous managed-agent run. Do not expect an immediate answer; start it, then poll.

  1. Start. Call mcp__ololand__run_conflict_detection with deal_id. It returns a task_id (with task_type: "managed_conflict_detection").
    • If it returns {"error": "Deal not found: …", "error_code": "not_found"} — the deal id is wrong; ask the user to confirm it with mcp__ololand__list_deals.
    • If it returns {"error": "Company scope required …"} — the MCP connection is not company-scoped (it needs a database-backed olo_agent_sk_* key, which the OloLand connection provides on sign-in). Tell the user to reconnect / sign in, do not retry blindly.
    • If the tool itself errors (e.g. the managed executor is unavailable) the call fails closed — relay the error rather than presenting an empty "no conflicts" result.
  2. Poll. Call mcp__ololand__check_task_status with the task_id every few seconds. While state is STARTED / PROGRESS, relay the progress message (it names each engine call, e.g. Engine call: reconcile_documents) so the user sees it working. Keep polling until state is SUCCESS or FAILURE.
  3. On FAILURE — report the error verbatim. Do not synthesize a conflict list from nothing.
  4. On SUCCESS — the result object is:
    • status"success" or "error". Check it: an error status means the run completed but the agent hit a problem mid-flight.
    • errornull on success; on an error status, the message string to relay.
    • text — the conflict report itself: a structured list of conflicts (each with the conflicting sources, the disagreeing values, and a severity) plus a confidence / limitations note. This is the deliverable.
    • run_id — the replayable agent_runs row.
    • artifact_id — the persisted conflict_report artifact.
    • tool_calls — how many engine calls the detector made.

Read the full file on GitHub · 71 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. 3d ago First seen · 71 lines · 95 tokens per session scan A 9292b304dce9

Subscribe to this mod's changes

conflicts is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 95 tokens to every session and 1,368 once invoked, about $0.0005 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.