Route Info Extraction

What it does

When your agent uses it

• Someone asks which model should I use to extract clauses/data from these documents
• Best AI for contract data extraction
• Route this extraction task
• Is about to pull structured fields from legal docs without a fixed model

Example prompts

• “which model should I use to extract clauses/data from these documents”
• “best AI for contract data extraction”
• “route this extraction task”
• “/route-info-extraction”

Requirements

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

Workflow steps

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

1. 1Infer, then ask only what's missing
2. 2Route using the scorecard
3. 3Output (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

  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 Info Extraction 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 178 tokens; SKILL.md has 556 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~178

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

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). 556 words, ~1,507 tokens.

name

route-info-extraction

description

Pick the right LLM for LEGAL INFO EXTRACTION — pulling facts, clauses, dates, parties, obligations, and structured fields out of contracts and legal documents. Vendor-neutral routing grounded in mid-2026 benchmarks (legalbenchmarks.ai Info Extraction; CUAD/MAUD/ACORD). 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 should I use to extract clauses/data from these documents", "best AI for contract data extraction", "route this extraction task", or is about to pull structured fields from legal docs without a fixed model.

allowed-tools

AskUserQuestion, Read

version

0.1.0

triggers

which model should I use to extract clauses or data from these documents, best AI for contract data extraction, route this extraction task, pull structured…

license

AGPL-3.0-or-later

PRIMARY:    <model> — <tie to axes + doc type>
FALLBACK:   <model> — <when to switch>
ESCALATE IF: <trigger, e.g. "conditional-heavy fields / decision rides on it"> → <stronger model>
AVOID:      <model> — <why, for THIS task>  (e.g. cheap tier when accuracy matters; GPT 5.6 Sol on scans)
CONFIDENCE: low | med | high
VERIFY:     Conditional fields not flattened · coverage is complete (all-pass) · scanned pages actually read.

© 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-info-extraction of lawve-ai/awesome-legal-skills.

• SKILL.md
• references/scorecard.md

Open the folder on GitHubat commit 045f738