Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-opennpx agentmods add skills/thomasmoreai/legal-skills-open/ai-automation-contracts-aurelioagencyWrote 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/thomasmoreai/legal-skills-open/ai-automation-contracts-aurelioagency)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/ai-automation-contracts-aurelioagency"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/ai-automation-contracts-aurelioagency/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/thomasmoreai/legal-skills-open/ai-automation-contracts-aurelioagency"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/ai-automation-contracts-aurelioagency.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 | $0.00176 | $0.01776 |
| Opus 5.5 | $0.00070 | $0.00710 |
| Sonnet 5.5 | $0.00035 | $0.00355 |
| Haiku 4.5 | $0.00018 | $0.00178 |
Grade A, and why
ai-automation-contracts-aurelioagency 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 19d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contratos para automatizaciones con IA
Genera contratos en derecho argentino, redactados a favor del proveedor, para el modelo de negocio llave en mano: el sistema se implementa íntegramente en la infraestructura del cliente, se entrega, y la relación se agota con la aceptación.
Los tres documentos
Implementación (assets/implementacion.md) — el contrato completo, con todo el bloque legal de fondo y los Anexos I y II. Se usa siempre. Es el documento del que dependen los otros dos.
Mantenimiento (assets/mantenimiento.md) — abono mensual con horas incluidas, tiempo de respuesta y renovación automática. Se genera solo si el cliente contrata abono. Se apoya en el de implementación y no lo repite.
Orden de trabajo (assets/orden-trabajo.md) — una página para la intervención puntual del cliente que vuelve meses después. Se apoya en el contrato original, no renegocia nada.
Cuando el cliente contrata implementación más abono, no existe un cuarto documento: se generan los dos primeros y se firman en el mismo acto, con el de mantenimiento arrancando a la fecha de aceptación. Esto se hace así a propósito — si el cliente cancela el abono, nada de la implementación entregada se ve afectado.
Flujo de trabajo
-
Determinar qué documentos hacen falta. Si el usuario no lo aclara, preguntarlo. La respuesta habitual es implementación sola, o implementación más mantenimiento.
-
Reunir los datos. Leer
references/intake.md, que tiene el checklist completo por bloques. Contrastarlo con lo que el usuario ya haya dado — muchas veces la propuesta comercial que le mandó al cliente cubre alcance, plazos, precio y plataformas. Preguntar solo lo que falte y sea relevante para los documentos que se van a generar.Preguntar en tandas cortas y agrupadas por bloque, no de a una variable. Las variables con valor por defecto en
assets/defaults.jsonno se preguntan salvo que el caso lo justifique.Si falta algún dato que el usuario todavía no cerró con el cliente, no frenar: generar igual. Los campos vacíos salen marcados en rojo como
[COMPLETAR: X]y el script los lista al final.
What ships with it
9 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.
- 19d ago First seen · 92 lines · 176 tokens per session scan A 439dbb2ca612
ai-automation-contracts-aurelioagency is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 176 tokens to every session and 1,776 once invoked, about $0.0007 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 2026-10-09.
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