precedent-mapper

precedent-mapper is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 160 tokens per session (1,053 once invoked), scanned A, original, MIT.

A research guide that maps legal authorities on one specific issue and explains which cases follow, distinguish, overrule, or conflict with one another.

In plain words
What is it for?
Building evidence-backed precedent maps for legal arguments, including case existence, citations, holdings, relationships, and unresolved splits.
Why use it?
It prevents a case list from hiding differences in facts or holdings and requires each authority to be supported by material sourced for the task.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the rohas-legal-ai plugin — 149 skills shipped together

Good fit Building evidence-backed precedent maps for legal arguments, including case existence, citations, holdings, relationships, and unresolved splits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/precedent-mapper
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 rohasnagpal/legal-ai-skills --skill precedent-mapper
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install rohas-legal-ai, the plugin that ships this one along with the rest of its 149 skills.

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 precedent-mapper

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/precedent-mapper/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/precedent-mapper)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/precedent-mapper"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/precedent-mapper/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 precedent-mapper

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/precedent-mapper"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/precedent-mapper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,053 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 $0.00160 $0.01053
Opus 5 $0.00080 $0.00526
Sonnet 5 $0.00032 $0.00211
Haiku 4.5 $0.00016 $0.00105

Measured 9d ago against content hash f8b265b0d191, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

precedent-mapper 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 9d 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/rohas-legal-ai/skills/precedent-mapper/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Precedent Mapper

I am using the Precedent Mapper skill from Rohas Legal AI: maps the authorities on a point and how they relate. Say this sentence, verbatim, before anything else in your response.

What this does

Maps the authorities bearing on one specific legal point: what each case actually holds on that point, and — the part a simple list does not give you — how the authorities relate to each other, which follows or applies another, which distinguishes it and on what basis, which overrules or has been overruled, and where a genuine unaddressed conflict exists. Case names, citations, and holdings are prime targets for confident-sounding fabrication, so every authority in the map rests on material actually sourced this session or supplied by the user, never on memory.

Before you start

The precise point the map is being built around. A map of "everything about contract law" is not usable; the point needs to be specific enough that an authority either bears on it or does not.

Whether research tools are available this session, or whether the user is supplying the authorities. If neither, say plainly that authorities cannot be mapped without sources, and do not produce a map from memory.

Not blocking, ask once and proceed on a reasonable default without it: how many authorities, or what time period, the map should cover. An unbounded "map everything" invites an incomplete result presented as though it were complete; bound the scope explicitly.

Method

1. Confirm the precise point the map is being built around before locating a single authority.

2. Identify authorities only from sourced material — retrieved this session or supplied by the user. Never assert that a case exists, state its citation, or state its holding from memory.

3. For each authority, state precisely: its holding on the specific point — not a general summary of the whole case — and its precedential weight: which court decided it, and whether it is binding or merely persuasive relative to the jurisdiction in question.

Read the full file on GitHub · 65 lines

Files

What ships with it

1 file 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. 9d ago First seen · 65 lines · 160 tokens per session scan A f8b265b0d191

Subscribe to this mod's changes

precedent-mapper is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 160 tokens to every session and 1,053 once invoked, about $0.0008 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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