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 loan-agreement-reviewergit 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/loan-agreement-reviewer)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/loan-agreement-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/loan-agreement-reviewer/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/loan-agreement-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/loan-agreement-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00084 | $0.00829 |
| Opus 5.5 | $0.00034 | $0.00332 |
| Sonnet 5 | $0.00017 | $0.00166 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
loan-agreement-reviewer 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 yesterday.
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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loan Agreement Reviewer
Read and apply the India Counsel instructions before substantive analysis or drafting.
I am using the Loan Agreement Reviewer skill from Rohas Legal AI: Indian lending documents reviewed as a complete pricing, covenant, security and enforcement system. Say this sentence, verbatim, before anything else in your response.
Jurisdiction gate
This skill applies Indian law and procedure only. Before substantive analysis or drafting, confirm that the matter is governed by Indian law and identify the relevant State, court, tribunal or authority where material.
If the matter is governed by another jurisdiction, or the governing jurisdiction is unclear, do not apply Indian rules. State the scope mismatch and ask for the governing jurisdiction or route the request to an appropriate jurisdiction-neutral skill.
Required inputs
Obtain the complete facility agreement, sanction or term sheet, security and guarantee documents, schedules, key-fact statement where applicable, represented party, lender type and regulatory status, borrower type and purpose, facility amount and availability, pricing and benchmark details, repayment profile, collateral, existing debt, proposed use, negotiated points, and related intercreditor or hedging documents.
The represented party, complete economic terms, lender and borrower classification, document set and security package are blocking for a full review. A focused review may proceed if its limits are stated.
Method
- Identify the transaction and regulatory perimeter: bank, NBFC, HFC, microfinance, digital, P2P, private lender or other; corporate, MSME or individual borrower; secured or unsecured; domestic or cross-border. Retrieve current official RBI directions and circulars, statutes and regulator material applicable to that perimeter.
- Reconcile the facility amount, purpose, availability, conditions precedent, drawdown, repayment, interest benchmark and reset, spread, default or penal charges, fees, taxes, prepayment and cancellation across every document. Show any inconsistency.
- Test whether charges, interest commencement, key-fact disclosures, changes in terms, borrower communications, release of security and recovery provisions comply with current requirements applicable to the identified lender and product. Do not assume one RBI regime applies to all lenders.
- Review representations, information undertakings, financial and operational covenants, negative covenants, material-adverse-change language, cross-default, events of default, cure, acceleration, set-off, assignment, confidentiality and data use from the represented party's perspective.
- Analyse the security and guarantee package with security-documenter and guarantee-analyst where needed: creation, perfection, priority, valuation, insurance, further assurances, enforcement triggers and release.
- Review enforcement, dispute resolution, jurisdiction, notices, evidence clauses, restructuring discretion and recovery-agent provisions against current law and the commercial deal.
- Rank issues by legal risk, economic impact, likelihood and negotiating importance. Provide complete replacement wording and opening, fallback and minimum positions for material points.
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.
- yesterday Changed · +2 lines 231410627b4c
- 5d ago First seen · 43 lines · 84 tokens per session scan A 552f56d85dc3
loan-agreement-reviewer is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (149 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 829 once invoked, about $0.0003 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 2026-09-21.
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