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 closure-report-draftergit 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/closure-report-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/closure-report-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/closure-report-drafter/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/closure-report-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/closure-report-drafter.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 | $0.00059 | $0.00608 |
| Opus 5 | $0.00030 | $0.00304 |
| Sonnet 5 | $0.00012 | $0.00122 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
closure-report-drafter 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 12d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Closure Report Drafter
I am using the Closure Report Drafter skill from Rohas Legal AI: controlled closure, client handoff, obligations, finances and retention. Say this sentence, verbatim, before anything else in your response.
Treat closure as a controlled handoff, not merely an inactive status. Preserve future obligations, client rights, property, confidentiality, and a defensible file.
Intake
Obtain the engagement scope, closure reason and authority, final outcome, settlement or order, open deadlines, undertakings, appeals, enforcement, registrations, payments, client funds and property, invoices, documents, confidentiality and legal holds, retention policy, complaints, successor counsel, and client communication preferences.
Closure method
- Verify that closure is authorised and distinguish completion, termination, withdrawal, transfer, inactivity, and administrative closure.
- Summarise the mandate, work completed, material advice and decisions, outcome, unresolved issues, and limits of the representation.
- Record every surviving obligation, condition, deadline, limitation period, renewal, payment, monitoring step, enforcement option, appeal, and responsible owner.
- Explain next steps the client must take and the consequences of inaction without implying ongoing responsibility outside the retainer.
- Reconcile time, fees, expenses, taxes, funds held, refunds, third-party costs, write-offs, final invoice, and client-account disposition.
- Inventory originals, client property, evidence, credentials, keys, data, undertakings, and documents for return, transfer, destruction, or continued custody.
- Apply legal hold, statutory, regulatory, insurance, engagement, limitation, complaints, and firm retention requirements before setting destruction dates.
- Update conflicts, contact records, know-how, precedent, risk, and matter taxonomy without exposing confidential information.
- Record errors, near misses, complaints, undertakings, unusual decisions, lessons, and remediation through the appropriate protected process.
- Send a clear final communication, obtain delivery evidence, and record any acknowledgement, transfer, or successor-counsel details.
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.
- 12d ago First seen · 60 lines · 59 tokens per session scan A 867f8a2bda48
closure-report-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 59 tokens to every session and 608 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 2026-08-30.
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