in-laws

in-laws is a skill for Claude Code, Codex from DocketDrafter/docketdrafter-plugins. It costs 30 tokens per session (339 once invoked), scanned A, original, BSD-3-Clause.

A reference tool for Indiana state laws and the Indiana Constitution, the state's highest legal document. It installs a verified local copy on first use for later offline lookups.

In plain words
What is it for?
Looking up, searching, quoting, summarizing, citing, and reasoning from Indiana legal materials.
Why use it?
It avoids repeatedly searching legal websites and provides organized sources for statutory and constitutional research.

Skill for Claude CodeCodex

Part of the in-laws plugin — 1 skill shipped together

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.

agentmods
npx agentmods add skills/docketdrafter/docketdrafter-plugins/in-laws
Any agent
npx skills add DocketDrafter/docketdrafter-plugins --skill in-laws
Clone the repo
git clone --depth 1 https://github.com/DocketDrafter/docketdrafter-plugins

Made for: Claude Code, Codex.

Or install in-laws, the plugin that ships this one along with the rest of its 1 skill.

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 in-laws

README.md
[![agentmods](https://agentmods.dev/badge/skills/docketdrafter/docketdrafter-plugins/in-laws.svg)](https://agentmods.dev/skills/docketdrafter/docketdrafter-plugins/in-laws)
Your own site
<a href="https://agentmods.dev/skills/docketdrafter/docketdrafter-plugins/in-laws"><img src="https://agentmods.dev/badge/skills/docketdrafter/docketdrafter-plugins/in-laws.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 339 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.00339
Opus 5 $0.00015 $0.00169
Sonnet 5 $0.00006 $0.00068
Haiku 4.5 $0.00003 $0.00034

Measured 3d ago against content hash 6d9a1faaf7d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

in-laws 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/corpus.py, scripts/read_constitution.py, scripts/read_section.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/in-laws/skills/in-laws/SKILL.md · 34 lines

What it actually says

Indiana Laws

The reader scripts automatically install the latest verified corpus on first use. After installation, lookups are local and the corpus is not checked for updates in that environment.

Use this skill for Indiana statutory and constitutional research. Generated primary-source material is under references/; source URLs and retrieval dates are recorded in its indexes.

Lookup

python scripts/read_section.py "IC 35-42-1-1"
python scripts/read_section.py --list-titles
python scripts/read_section.py --list-title 35 --chapter 42
python scripts/read_section.py --search "deadly force"
python scripts/read_constitution.py "Article 1, Section 9"

Updating

Downloading and parsing are intentionally separate. Raw source files are retained under gitignored .dev/data/raw/.

python .dev/scripts/download.py --edition 2026 --force
python .dev/scripts/build.py --edition 2026

Use --force when refreshing an existing edition; without it, previously downloaded raw files remain cached. The downloader validates that title responses contain Code content and that the Constitution response is a PDF. The builder never uses the network. It uses only the PDF text layer through pdftotext; it does not perform OCR and stops if the text layer is unusable.

Source pages: https://iga.in.gov/laws/2026/ic/titles/1 and the Indiana General Assembly's Constitution publication.

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 34 lines · 30 tokens per session scan A 6d9a1faaf7d9

Subscribe to this mod's changes

in-laws is a skill published in the GitHub repository DocketDrafter/docketdrafter-plugins (9 stars, last pushed 10d ago), licensed BSD-3-Clause. It adds 30 tokens to every session and 339 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 2026-08-31.

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