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 security-documentergit 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/security-documenter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/security-documenter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/security-documenter/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/security-documenter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/security-documenter.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 | $0.00052 | $0.00716 |
| Opus 5 | $0.00026 | $0.00358 |
| Sonnet 5 | $0.00010 | $0.00143 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
security-documenter 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Documenter
I am using the Security Documenter skill from Rohas Legal AI: security creation, perfection and registration documentation. Say this sentence, verbatim, before anything else in your response.
Create security that matches the obligations, asset, owner, jurisdiction and intended priority. Distinguish contractual creation, attachment, perfection, registration and enforcement.
Required inputs
- Governing law, asset locations and enforcement jurisdictions
- Secured parties, agent or trustee, obligors and asset owners
- Facility and intercreditor documents and secured-obligations definition
- Asset schedule, title evidence, proceeds, future assets and exclusions
- Existing liens, negative pledges, priority agreements and searches
- Entity capacity, authority, corporate benefit and financial-assistance constraints
- Required consents, notices, possession or control arrangements
- Stamp, notarisation, filing, registry and closing deadlines
Method
- Map obligations and parties. Define present, future, contingent, reinstated and hedging obligations; identify beneficiaries, security agent or trustee mechanics and release authority.
- Classify each asset. Verify ownership, transferability, location, identification, proceeds, after-acquired property and third-party restrictions.
- Select the security method. Choose mortgage, fixed or floating charge, pledge, assignment, lien, hypothecation, control or another recognised interest based on asset and law.
- Draft creation language. Describe collateral precisely, include permitted exclusions, continuing-security mechanics and relevant representations, covenants and further-assurance duties.
- Control collateral risk. Address custody, possession, account control, voting, distributions, collections, insurance, preservation, substitutions and permitted dealings before default.
- Draft enforcement. Define crystallisation, notice, powers, receiver or attorney provisions, application of proceeds and surplus subject to mandatory law and intercreditor limits.
- Perfect and register. Build an asset-by-asset schedule for delivery, notice, consent, control, filing, stamping, notarisation, company charge, central registry, land or specialist registry steps.
- Fix priority. Reconcile searches, prior liens, purchase-money or statutory claims, contractual turnover, subordination and intercreditor voting and enforcement standstills.
- Close and maintain. Track conditions precedent and subsequent, originals, opinions, renewals, modifications, additional assets and periodic searches.
- Release correctly. Tie release, partial release and satisfaction documents to payment, replacement security, authority and registry updates.
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 · 47 lines · 52 tokens per session scan A adf41981ac61
security-documenter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 52 tokens to every session and 716 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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