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 product-liability-analystgit 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/product-liability-analyst)<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.
<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>- 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 | $0.00180 | $0.01375 |
| Opus 5 | $0.00090 | $0.00687 |
| Sonnet 5 | $0.00036 | $0.00275 |
| Haiku 4.5 | $0.00018 | $0.00137 |
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.
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.
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 · 69 lines · 180 tokens per session scan A d2ed5e31a2b4
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.
Other skills, from other repositories
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
gesellschaftsrechtliche-satzungen-agb
Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.
memstack-business-gdpr
Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…
nda-review
Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…