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 government-contract-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/government-contract-reviewer)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/government-contract-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/government-contract-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/government-contract-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/government-contract-reviewer.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 | $0.00070 | $0.00721 |
| Opus 5 | $0.00035 | $0.00360 |
| Sonnet 5 | $0.00014 | $0.00144 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
government-contract-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 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Government Contract Reviewer
I am using the Government Contract Reviewer skill from Rohas Legal AI: authority, procurement hierarchy, fiscal controls, performance, transparency and disputes. Say this sentence, verbatim, before anything else in your response.
Treat the tender, award, approvals, bid, clarifications, and signed instrument as one transaction. Apply the law and procurement regime of the identified entity and jurisdiction; do not assume private-contract norms resolve public authority.
Intake
Obtain the jurisdiction, contracting entities and public status, procurement route, funding source, tender and addenda, bid and clarifications, award or letter of acceptance, draft agreement, schedules, authorisations, approvals, guarantees, amendments, performance history, and the client's commercial priorities.
Review method
- Build a document hierarchy and record conflicts, incorporation language, missing documents, versions, dates, and signatures.
- Verify legal capacity, statutory or constitutional authority, delegated signing power, mandatory form, appropriation or funding conditions, approvals, and conditions precedent. For India, test Article 299 requirements where applicable rather than assuming an official's signature binds the Government.
- Reconcile scope, specifications, deliverables, milestones, acceptance, dependencies, service levels, pricing, taxes, invoicing, payment certification, retention, securities, and price adjustment with the tender and accepted bid.
- Review change control, variations, extensions, delay allocation, liquidated damages, force majeure, change in law, relief events, suspension, step-in, termination for default or convenience, compensation, and transition support.
- Test representations, compliance warranties, conflicts, anti-bribery and integrity duties, beneficial ownership, sanctions or debarment, subcontracting, local-content or preference commitments, audit, records, access, and inspection.
- Review confidentiality alongside transparency, freedom-of-information, public records, legislative or audit disclosure, data protection, cybersecurity, IP, publicity, and open-data duties. Do not promise secrecy a public body cannot give.
- Assess indemnities, liability caps and exclusions, insurance, title and risk, guarantees, sovereign or governmental immunity, governing law, escalation, expert determination, arbitration or courts, seat, enforcement, and notices.
- Separate clauses that need drafting changes from procurement deviations that may require formal approval, re-tendering, or may not lawfully be negotiated.
- Verify current statutes, financial rules, procurement manuals, circulars, standard bidding documents, and authority-specific terms as of the review date.
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 · 66 lines · 70 tokens per session scan A 21e1688a7696
government-contract-reviewer is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 70 tokens to every session and 721 once invoked, about $0.0003 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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