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.
npx skills add rohasnagpal/legal-ai-skills --skill precedent-mappergit clone --depth 1 https://github.com/rohasnagpal/legal-ai-skillsWrote 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.
[](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/precedent-mapper)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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.
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.
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.
- 9d ago First seen · 65 lines · 160 tokens per session scan A f8b265b0d191
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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