Agent skill

Route Contract Review

by lawve-ai in lawve-ai/awesome-legal-skills

Pick the right LLM for CONTRACT REVIEW — reviewing an existing agreement for risk, deviations from standard, missing protections, and internal contradictions, and proposing redlines.

AGPL-3.0-or-laterAuto-check passedLegal & Compliance

Install Route Contract Review

skills CLI
$ npx skills add lawve-ai/awesome-legal-skills --skill route-contract-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lawve-ai/awesome-legal-skills route-contract-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/legal-ai-model-router-stephane-boghossian/skills/route-contract-review .claude/skills/route-contract-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
route-contract-review
GitHub stars
847
Token cost
~1.5k tokens
SKILL.md length
526 words
Files
2 (incl. references)
Skills in repo
154
Repo updated
First seen
Licence
AGPL-3.0-or-later

At a glance

Pick the right LLM for CONTRACT REVIEW — reviewing an existing agreement for risk, deviations from standard, missing protections, and internal contradictions, and proposing redlines.

  • Works in 3 steps: Infer, then ask only what's missing → Route by sub-task (composed from the… → Output (use this exact shape)
  • Someone asks which model to review this contract / NDA / MSA
  • SKILL.md covers Contract review is a composite…, Step 1 — Infer, then ask only…, Step 2 — Route by sub-task… and Step 3 — Output (use this…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Route Contract Review is an agent skill from lawve-ai/awesome-legal-skills. Pick the right LLM for CONTRACT REVIEW — reviewing an existing agreement for risk, deviations from standard, missing protections, and internal contradictions, and proposing redlines. Vendor-neutral routing grounded in mid-2026 legal benchmarks. Contract review is a COMPOSITE skill (extraction + reasoning + redlining + conflict-detection), so this routes by the dominant sub-task. Asks up to 4 quick questions (cost, speed, accuracy/stakes, privacy/jurisdiction/ language), then recommends a primary model + fallback…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/scorecard.md`).

It sits in Legal & Compliance, covering Contract review. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0-or-later.

When your agent uses it

  • Someone asks which model to review this contract / NDA / MSA
  • Best AI to redline
  • Route this contract review
  • Is about to review an agreement without a fixed model

Example prompts

  • “which model to review this contract / NDA / MSA”
  • “best AI to redline”
  • “route this contract review”
  • “/route-contract-review”

Requirements

  • Pre-approved tools (allowed-tools): AskUserQuestion, Read

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Infer, then ask only what's missing
  2. Route by sub-task (composed from the drafting, extraction & reasoning scorecards, 2026-07)
  3. Output (use this exact shape)

What it can do on your machine

Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • AskUserQuestion
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • legalbenchmarks.ai
    • vals.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Route Contract Review loads about 1.5k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 192 tokens; SKILL.md has 526 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~192
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0-or-later licence (© lawve-ai). 526 words, ~1,502 tokens.

Download SKILL.mdSave it as .claude/skills/route-contract-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
route-contract-review
description
Pick the right LLM for CONTRACT REVIEW — reviewing an existing agreement for risk, deviations from standard, missing protections, and internal contradictions, and proposing redlines. Vendor-neutral routing grounded in mid-2026 legal benchmarks. Contract review is a COMPOSITE skill (extraction + reasoning + redlining + conflict-detection), so this routes by the dominant sub-task. Asks up to 4 quick questions (cost, speed, accuracy/stakes, privacy/jurisdiction/ language), then recommends a primary model + fallback + what to avoid + what a human must verify. Use when someone asks "which model to review this contract / NDA / MSA", "best AI to redline", "route this contract review", or is about to review an agreement without a fixed model.
allowed-tools
AskUserQuestion, Read
version
0.1.0
triggers
which model to review this contract or NDA or MSA, best AI to redline a contract, route this contract review, which LLM to assess an agreement for risk
license
AGPL-3.0-or-later

Route: Contract Review

You are a model-routing advisor for contract review — reading an existing agreement to find risk, deviations from market/standard, missing protections, and internal contradictions, and proposing redlines. You recommend which model to review with; you don't review the contract here. Decision support, not legal advice.

Contract review is a composite — route by the dominant sub-task

No public benchmark isolates "contract review." It is: find the clauses (Info Extraction) + judge risk/deviation (legal reasoning) + propose redlines (drafting) + catch contradictions (conflict detection). First decide which sub-task dominates this review, then route.

Step 1 — Infer, then ask only what's missing

Batched, multiple-choice, recommended-first:

  1. Stakes — Recommended: High for any counterparty-facing agreement. Quick sanity check · Working review · High — you'll rely on the redlines.
  2. Dominant sub-task — ask this; it drives the pick: Find/summarize clauses (extraction) · Assess risk & market-standard (reasoning) · Rewrite/redline (drafting) · Full review (all of the above).
  3. Document length — Short (<30pp) · Long (30–100pp) · Very long (100pp+).
  4. Cost / speed / privacy — Balanced cloud · Minimize cost · Fast/interactive · Privileged → self-host.

Default if "just pick": High stakes, Full review, Short/medium doc, Balanced cloud.

Step 2 — Route by sub-task (composed from the drafting, extraction & reasoning scorecards, 2026-07)

Dominant sub-taskPrimaryWhyWatch out
Full review (default)Claude Opus 4.8Only model strong at drafting and documented best at flagging contradictions; dependable extraction. Best single-model reviewer.Verbose output; ~$0.29/task.
Extraction-heavy (obligations matrix, "find every clause of type X")GPT 5.6 SolBest exhaustive clause retrieval + cross-doc comparison (89.7% extraction).Flattens conditionals and worst at drafting through contradictions — bad if the review is really about conflicts. Verify conditionals.
Risk / deviation reasoning ("is this indemnity market? what's the exposure?")Gemini 3 Flash (value) or Fable 5 / Opus 4.8 (safest)Reasoning models cluster within ~3 pts; buy on cost/speed.Verify every cited rule/standard.
Redline drafting (rewrite to protect the client)Opus 4.8 or Grok 4.5Opus = best drafter + conflict-flagging; Grok = cheaper, leaves sound language untouched.Avoid GPT 5.6 Sol (polished but misses instructions).
Conflict detection across the agreementOpus 4.8Documented standout at surfacing contradictions instead of papering over them.Avoid GPT 5.6 Sol — worst at silently drafting through contradictions.
Show full SKILL.md (177 more words)Show less

Length overrides everything above. Advertised context ≠ effective context:

  • <30pp — any model in the table.
  • 30–100pp — prefer models that hold quality mid-context; verify nothing dropped past ~200K tokens.
  • 100pp+ — only Gemini 3 Deep Think reliably holds quality near 1M tokens; for the rest, chunk + map-reduce (review section-by-section, then reconcile) rather than trusting a single long-context pass.

Constraint modifiers

  • Minimize cost → Grok 4.5 (drafting/redline) or Gemini 3 Flash (reasoning/extraction triage).
  • Privacy / on-prem → Qwen 3.7 Max / DeepSeek V4 Pro — weak on legal reliability (44–62%); heavy human review.
  • Non-English / non-US → route language via route-legal-translation; add a jurisdiction-qualified reviewer.

Step 3 — Output (use this exact shape)

PRIMARY:    <model> — <tie to dominant sub-task + length + axes>
FALLBACK:   <model> — <when to switch>
ESCALATE IF: <trigger, e.g. "conflicting terms suspected" or "doc > effective context"> → <Opus 4.8 / chunking>
AVOID:      <model> — <why>  (name GPT 5.6 Sol for conflict-sensitive review; cheap tier for high stakes)
CONFIDENCE: low | med | high
VERIFY:     Contradictions surfaced (not papered over) · conditionals preserved · nothing dropped in long
            docs · redlines represent every instruction (all-pass). Human sign-off before you send markup.

If stakes are High: "Re-check https://www.legalbenchmarks.ai/leaderboard and https://www.vals.ai/benchmarks/legal_bench before relying on this."

Non-negotiables

  • Route to the sub-task, not the vibe. A polished summary from a model that misses contradictions is worse than a plain one that catches them.
  • All-pass bar: a review that catches 8 of 10 risks is materially incomplete, not "80% good."
  • Capability ≠ controllability. Verify; keep a lawyer in the loop.
  • Deeper notes + full data: references/scorecard.md and repo data/scorecard-2026-07.md.
  • Routes models, not legal advice.

© lawve-ai, AGPL-3.0-or-later. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/legal-ai-model-router-stephane-boghossian/skills/route-contract-review of lawve-ai/awesome-legal-skills.

  • SKILL.md
  • references/scorecard.md

Open the folder on GitHubat commit 045f738

Compare with similar skills

Route Contract Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Route Contract Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Route Contract Review this skilllawve-ai/awesome-legal-skills847—~1.5kAutomated safety check: PassAGPL-3.0-or-later
Contract Reviewevolsb/claude-legal-skill4641 repos~3.6kAutomated safety check: PassMIT
Commercial Legal Plapiotrowski-afk/commercial-legal-pl1761 repos~4.1kAutomated safety check: PassApache-2.0
Hand Drawnthreerocks/hand-drawn-styles2.2k—~398Automated safety check: PassMIT
Tabular Document Reviewanthropics/claude-for-legal9.6k3 repos~4.3kAutomated safety check: PassApache-2.0
Tw Formal WritingImbad0202/tw-formal-writing179—~1kAutomated safety check: PassMIT

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Questions about Route Contract Review

What does Route Contract Review do?

Pick the right LLM for CONTRACT REVIEW — reviewing an existing agreement for risk, deviations from standard, missing protections, and internal contradictions, and proposing redlines. Route Contract Review is an agent skill from lawve-ai/awesome-legal-skills. Pick the right LLM for CONTRACT REVIEW — reviewing an existing agreement for risk, deviations from standard, missing protections, and internal contradictions, and proposing redlines.

When should I use Route Contract Review?

Route Contract Review fits situations like: someone asks which model to review this contract / NDA / MSA; best AI to redline; route this contract review; is about to review an agreement without a fixed model.

How do I install Route Contract Review in Claude Code?

Run `npx skills add lawve-ai/awesome-legal-skills --skill route-contract-review -a claude-code`. Or copy the skill folder (skills/legal-ai-model-router-stephane-boghossian/skills/route-contract-review in lawve-ai/awesome-legal-skills) into .claude/skills/route-contract-review in your project. Claude Code loads it when a task matches its description.

How do I install Route Contract Review in Codex?

Run `npx skills add lawve-ai/awesome-legal-skills --skill route-contract-review -a codex`. Or copy the skill folder (skills/legal-ai-model-router-stephane-boghossian/skills/route-contract-review in lawve-ai/awesome-legal-skills) into .agents/skills/route-contract-review in your project. Codex loads it when a task matches its description.

Can I use Route Contract Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill route-contract-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/route-contract-review, .gemini/skills/route-contract-review, .github/skills/route-contract-review and .opencode/skills/route-contract-review in your project.

What does Route Contract Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Route Contract Review is instructions for the agent only. Its frontmatter pre-approves these tools: AskUserQuestion, Read.

Does Route Contract Review access the network?

SKILL.md names 2 domains. As links in the text: legalbenchmarks.ai and vals.ai. This is read from the text; nothing was executed.

Is Route Contract Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Route Contract Review use?

Route Contract Review is published under the AGPL-3.0-or-later licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Route Contract Review use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Route Contract Review?

Skills that share tags, products or a category with Route Contract Review: Contract Review (evolsb/claude-legal-skill, 464 stars), Commercial Legal Pl (apiotrowski-afk/commercial-legal-pl, 176 stars), Hand Drawn (threerocks/hand-drawn-styles, 2.2k stars) and Tabular Document Review (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Route Contract Review?

lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.

Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.