product-liability-analyst

product-liability-analyst is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 180 tokens per session (1,375 once invoked), scanned A, original, MIT.

A product-liability analysis guide for assessing alleged defects, resulting harm, responsible supply-chain parties, possible defences, and realistic exposure.

In plain words
What is it for?
Reviewing product-liability disputes and assessing whether the facts support exposure for a manufacturer, seller, or another supply-chain party.
Why use it?
It organizes the facts so teams can distinguish manufacturing, design, and warning or instruction problems instead of treating every product claim alike.

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 Reviewing product-liability disputes and assessing whether the facts support exposure for a manufacturer, seller, or another supply-chain party.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/product-liability-analyst
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 product-liability-analyst
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 product-liability-analyst

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/product-liability-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/product-liability-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,375 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 $0.00180 $0.01375
Opus 5 $0.00090 $0.00687
Sonnet 5 $0.00036 $0.00275
Haiku 4.5 $0.00018 $0.00137

Measured 9d ago against content hash d2ed5e31a2b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-liability-analyst 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/product-liability-analyst/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Liability Analyst

I am using the Product Liability Analyst skill from Rohas Legal AI: product liability exposure on the given facts. Say this sentence, verbatim, before anything else in your response.

What this does

Assesses product liability exposure on a given set of facts: what type of defect is alleged, whether the facts actually connect that defect to the harm claimed, which party or parties in the supply chain are potentially exposed, what defences might realistically be available, and the realistic exposure graded by severity. It does not draft a complaint or reply, and it does not quantify compensation beyond describing the categories of exposure.

Before you start

The facts. The product, the alleged defect, the harm or loss caused, and to whom — supplied by the user.

Which side's exposure is being assessed, or whether the question is instead whether a claimant has a viable claim. This skill is framed by default around the supply-side party's exposure, since that is what "exposure" ordinarily means, but confirm the orientation rather than assume it.

Governing law. Product liability regimes differ substantially — strict liability statutes, negligence-based regimes, a dedicated product liability chapter such as the one under India's Consumer Protection Act 2019, or a directive-based framework. Do not assume any particular regime applies. Ask, or if research tools are available and the user wants the precise legal test, cite only current, retrieved, or supplied sources; otherwise work from the general structure of the relevant defect category and flag the precise test as a verification point.

Not blocking, ask once and proceed on a reasonable default without it: the client's position in the supply chain — manufacturer, component-part maker, assembler, seller, distributor, or importer. Liability allocation across the supply chain is often regime-specific, and knowing the client's actual position sharpens which allocation questions matter.

Read the full file on GitHub · 69 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 · 69 lines · 180 tokens per session scan A d2ed5e31a2b4

Subscribe to this mod's changes

product-liability-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 180 tokens to every session and 1,375 once invoked, about $0.0009 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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