What is ololand-forensic-qoe-legal-risk?

A workflow for reviewing loan agreements and merger agreements for legal risk, using the original document text and page references. It examines financial promises and clauses that can allow a deal to be affected by major adverse changes.

Use it to review leverage, coverage, cross-default, and related loan terms; analyze MAC/MAE clauses; classify risk; and produce findings with page-level source quotes.

It helps identify covenant breaches and merger-agreement risks without relying on unsourced summaries. It preserves the exact supporting quotations and flags missing or insufficient source text.

ololand-forensic-qoe-legal-risk — Skill for Claude Code by ololand-ai

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.

Any agent

npx skills add ololand-ai/ololand-plugins --skill cmd-legal-risk

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/cmd-legal-risk/github.svg)](https://agentmods.dev/skills/ololand-ai/ololand-plugins/cmd-legal-risk)

Your own site

<a href="https://agentmods.dev/skills/ololand-ai/ololand-plugins/cmd-legal-risk"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/cmd-legal-risk/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/skills/ololand-ai/ololand-plugins/cmd-legal-risk"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/cmd-legal-risk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 400 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.

Model	Per session	Once invoked
Fable 5.1	$0.00047	$0.00400
Opus 5	$0.00023	$0.00200
Sonnet 5	$0.00009	$0.00080
Haiku 4.5	$0.00005	$0.00040

Measured 8d ago against content hash e52b2b3ffd90, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ololand-forensic-qoe-legal-risk 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-forensic-qoe/skills/cmd-legal-risk/SKILL.md · 27 lines

What it actually says

Codex wrapper for /legal-risk

Follow the OloLand command instructions below when the user asks for /legal-risk or the equivalent workflow in Codex.

Covenant + MAC/MAE Risk

Use this workflow when a forensic review needs sourced legal-risk analysis in addition to the accounting battery.

Call mcp__ololand__list_deal_documents(deal_id) and identify the credit agreement/loan documents and merger agreement.
Retrieve the raw clause text with mcp__ololand__grep_filing or mcp__ololand__search_deal_documents; do not pass an LLM summary.
Call mcp__ololand__analyze_covenants(text) for leverage, coverage, cross-default, and other covenant terms. Preserve each returned source_quote.
Call mcp__ololand__analyze_mac_mae(text) on the raw MAC/MAE provision. Preserve source_quotes, carve-outs, scope, and risk assessment.
Report the deal risk level, exact source quotes/page references, and any missing or insufficient text. These analyzers are deterministic text-in/dict-out MCP tools and do not finalize legal conclusions.

Guardrails

Source every clause from the deal corpus before analysis; never invent covenant or MAC/MAE terms.
Keep accounting findings and legal-clause findings separate, then explain their interaction (for example, a covenant breach plus a broad MAC/MAE carve-out).
This workflow does not approve patches, IC packages, or document versions; those approvals are app/human-session only.

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.

8d ago First seen · 27 lines · 47 tokens per session scan A e52b2b3ffd90

Subscribe to this mod's changes

ololand-forensic-qoe-legal-risk is a skill published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 7d ago), licensed Apache-2.0. It adds 47 tokens to every session and 400 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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