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 indemnity-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/indemnity-liability-analyst)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/indemnity-liability-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/indemnity-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/indemnity-liability-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/indemnity-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 | $0.00134 | $0.02287 |
| Opus 5 | $0.00067 | $0.01144 |
| Sonnet 5 | $0.00027 | $0.00457 |
| Haiku 4.5 | $0.00013 | $0.00229 |
Grade A, and why
indemnity-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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Indemnity & Liability Analyst
I am using the Indemnity Liability Analyst skill from Rohas Legal AI: warranties, indemnities, caps, carve-outs and insurance requirements as one system. Say this sentence, verbatim, before anything else in your response.
What this does
Reads every clause that touches liability — warranties, indemnities, exclusions, caps, insurance requirements, remedies and claims mechanics — as one interacting system for one identified party. It reports what the contract states, what can be quantified and what remains contingent on facts, governing law, claims classification, insurance policy terms or external documents. A stated cap figure is a starting point, not the conclusion.
Before you start
Which side's exposure is being analysed. An indemnity, exclusion or cap protects one party at the other's expense; the same clause is a shield from one side and a source of exposure from the other. Ask, and do not begin the analysis until you know.
Governing law. Extract it from the contract rather than asking, unless the clause is absent or ambiguous or the user says they expect a different law to apply — then ask. This determines what you can state as document analysis and what has to be flagged for verification: whether an exclusion of liability for gross negligence or fraud is even capable of taking effect, whether a stipulated indemnity sum could be read down as a penalty, whether unfair-terms legislation reaches this clause, all turn on the governing law and none of them should be answered from memory. Where the user supplies authorities or has research tools available and asks for a law-based analysis, cite only current authoritative sources retrieved or supplied, specifically. Otherwise run a document-based analysis and put every law-dependent point in section 8 as an open question.
The complete document set, including any schedule that sets a rate card, a separate cap for a specific service line, or an insurance requirement. Missing material does not stop the analysis — proceed with what you have, name what is missing, and mark the affected part Unreviewable.
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 · 91 lines · 134 tokens per session scan A 1ab6b93e7409
indemnity-liability-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 134 tokens to every session and 2,287 once invoked, about $0.0007 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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