contract-snapshot

contract-snapshot is a skill for Claude Code, Codex from LegalQuants/lq-ai. It costs 94 tokens per session (1,519 once invoked), scanned A, original, Apache-2.0.

A comparison tool for extracting the same clearly defined terms from several contracts into a side-by-side grid. It can compare items such as payment terms, intellectual-property ownership, termination triggers, survival periods, and governing law.

In plain words
What is it for?
Use it to compare selected clauses across NDAs, master service agreements, vendor contracts, or other similar documents, with a citation for each cell.
Why use it?
It saves time when reviewing a small contract portfolio and makes differences easier to spot than separate summaries.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compare selected clauses across NDAs, master service agreements, vendor contracts, or other similar documents, with a citation for each cell.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legalquants/lq-ai/contract-snapshot
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 LegalQuants/lq-ai --skill contract-snapshot
Clone the repo
git clone --depth 1 https://github.com/LegalQuants/lq-ai

Made for: Claude Code, Codex.

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 contract-snapshot

README.md
[![agentmods](https://agentmods.dev/badge/skills/legalquants/lq-ai/contract-snapshot/github.svg)](https://agentmods.dev/skills/legalquants/lq-ai/contract-snapshot)
Your own site
<a href="https://agentmods.dev/skills/legalquants/lq-ai/contract-snapshot"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/contract-snapshot/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 contract-snapshot

Your own site · 80×15
<a href="https://agentmods.dev/skills/legalquants/lq-ai/contract-snapshot"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/contract-snapshot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,519 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00094 $0.01519
Opus 5 $0.00047 $0.00759
Sonnet 5 $0.00019 $0.00304
Haiku 4.5 $0.00009 $0.00152

Measured 13d ago against content hash 8dc4ddce064b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

contract-snapshot 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 13d 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.

skills/contract-snapshot/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Contract Snapshot

A reference skill for the M3-C output_format: table mode. Produces a side-by-side grid of the same questions across N contracts — the in-house lawyer's "compare clauses across N agreements" workflow. Each cell carries a citation back to the source document, and failed extractions render as not found rather than confidently-wrong text.

When this skill applies

Apply when the user wants to compare a small number of well-defined questions across a corpus of similar contracts:

  • "What is the term, survival, and governing law across these 5 NDAs we're tracking?"
  • "Pull out the payment terms, IP ownership, and termination triggers across these 10 MSAs."
  • "For my Q3 portfolio review, I need a grid of these 30 vendor contracts' liability caps."

Do not apply this skill to:

  • Single-document review — use the appropriate document-specific skill (nda-review, msa-review-saas, etc.).
  • Free-form chat against contracts — that's the regular Chat surface.
  • Tasks where the questions aren't well-defined upfront — the column queries must be specific enough to extract from each row's source document; vague queries produce poor cells.

Inputs

The skill takes a set of documents (selected via the Tabular Review UI from a Knowledge Base, a Project, or a free file selection). The four columns above run as Citation Engine-grounded extractions against each document.

To adapt this skill for a different contract type (e.g., MSAs), fork the skill and rewrite the four column queries. Keep them short, specific, and quote-asking — the Citation Engine works best when the model is encouraged to quote rather than paraphrase.

Per-column overrides

This skill demonstrates the two per-column overrides M3-C1 supports:

  • ensemble_verification: true on the Survival column. Survival is the load-bearing economic term in confidentiality agreements (a 3-year confidentiality term with a 10-year survival is very different from one with no survival), so cells in this column run through Stage 4 of the Citation Engine cascade — three judges debating whether the cell value is faithful to its citation. Higher cost, higher confidence.
  • minimum_inference_tier: 3 on the Governing Law column. The skill-level floor is Tier 2 (commercial inference). Governing-law extraction is the column most likely to surface counterintuitive answers (e.g., a contract drafted under California law but with a Delaware forum-selection clause); routing this column to Tier 3+ avoids the cheapest models' tendency to collapse the two into one answer.

Read the full file on GitHub · 116 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. 13d ago First seen · 116 lines · 94 tokens per session scan A 8dc4ddce064b

Subscribe to this mod's changes

contract-snapshot is a skill published in the GitHub repository LegalQuants/lq-ai (136 stars, last pushed yesterday), licensed Apache-2.0. It adds 94 tokens to every session and 1,519 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 2026-08-30.

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