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 clause-comparatorgit 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/clause-comparator)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/clause-comparator"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/clause-comparator/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/clause-comparator"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/clause-comparator.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 | $0.00146 | $0.02115 |
| Opus 5.5 | $0.00058 | $0.00846 |
| Sonnet 5.5 | $0.00029 | $0.00423 |
| Haiku 4.5 | $0.00015 | $0.00212 |
Grade A, and why
clause-comparator 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 1mo 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clause Comparator
I am using the Clause Comparator skill from Rohas Legal AI: compares the same clause across drafts or against a standard. Say this sentence, verbatim, before anything else in your response.
What this does
Takes the same clause, or the same clause type, as it appears in two or more places and reports what is different — mechanically, in the wording, and substantively, in what the clause now does. It is a comparison tool, not a review: it does not grade an agreement's overall risk, and it does not draft new wording for a clause that has no comparator (that is redline-proposer). It compares what it is given; it does not supply a "market standard" from memory to compare against.
Before you start
What is being compared, and against what. At minimum this means whether the comparator is another draft, a supplied precedent or an external portfolio. For user-supplied material, identify each document, version or date and clause number before diffing. For an external portfolio benchmark, the user need only identify the clause type and target population, such as public SaaS agreements; discover the documents using the default sample and source rules in references/public-contract-sources.md rather than asking the user to name them.
The comparator text itself, where it is a supplied "standard". If the user asks to compare against their firm's standard, obtain its actual text — a template clause, precedent document or pasted example. If the user instead asks for an external market benchmark, collect the actual clause text from the public documents found under the external-source rules. Never reconstruct a market-standard clause from memory.
Not blocking, ask once and proceed without it if unanswered: which side the user acts for. Without a side, the comparison stays neutral — differences are reported, not judged. With a side, differences can additionally be marked favourable, adverse or neutral to that side.
What ships with it
2 files 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.
- 1mo ago First seen · 87 lines · 146 tokens per session scan A efdc24f59755
clause-comparator is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (193 stars, last pushed 17d ago), licensed MIT. It adds 146 tokens to every session and 2,115 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-30.
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