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 ThomasMoreAI/legal-skills-open --skill argentina-auditoria-citas-bitcoindefigit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/argentina-auditoria-citas-bitcoindefi)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/argentina-auditoria-citas-bitcoindefi"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/argentina-auditoria-citas-bitcoindefi/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/argentina-auditoria-citas-bitcoindefi"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/argentina-auditoria-citas-bitcoindefi.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 | $0.00101 | $0.02520 |
| Opus 5.5 | $0.00040 | $0.01008 |
| Sonnet 5.5 | $0.00020 | $0.00504 |
| Haiku 4.5 | $0.00010 | $0.00252 |
Grade A, and why
argentina-auditoria-citas-bitcoindefi 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 7d 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditoría de citas · Verificación sistemática
Skill original de Agente Smith (MIT). Ejecutable como checklist independiente o
integrado en el cierre de redacción (argentina-bucles) y en la auditoría de escritos
ya hechos (argentina-diagnostico).
Propósito
El principio duro del sistema: "ninguna cita sin fuente verificada o marca 🔲". Este skill automatiza esa verificación. Extrae citas del escrito, las busca en la tabla de fuentes verificadas, y reporta el estado de cada una. Impide que un escrito cierre sin resolver el estatus de toda cita.
Prerrequisitos
- Escrito terminado en cualquier formato (borrador de redacción, escrito final, etc.)
- Tabla de fuentes del caso: archivo
jurisprudencia/fuentes-XXXX.mddonde XXXX puede ser identificador del expediente, fecha, o tipo de escrito. Formato estándar:
# Fuentes verificadas · [Identificador del escrito/caso]
| Norma/Fallo | Cita textual | UUID SAIJ | URL | Secciones usadas |
|-------------|--------------|-----------|-----|------------------|
| Ley N° 27.043 | Art. 15 | abc-123-uuid | https://saij.gob.ar/... | §I.A.2, §III.1 |
| CSJN, Fallos 340:1313 | Considerando 5 | def-456-uuid | https://saij.gob.ar/... | §II.B |
| Resolución AFIP N° 4567/2023 | Art. 3 | ghi-789-uuid | https://saij.gob.ar/... | §IV.C.1 |
- Convención de citas en el escrito:
- Normas: "Ley N° X", "Decreto N° X", "Resolución N° X", "Art. X", "Artículo X"
- Jurisprudencia: "Fallos T.XXX:XXX", "CSJN", "Cámara Nacional de X", "Juzgado de X"
- Cualquier cita sin verificar en la tabla debe ir marcada con 🔲 en el escrito
Proceso de auditoría (7 pasos)
Paso 1 · Lectura del escrito
Leer el escrito completo de principio a fin. Anotar su estructura, tipo de pieza, y secciones donde van las citas.
Paso 2 · Extracción de citas
Extraer TODAS las referencias normativas y jurisprudenciales. Usar patrones regex para identificar:
Normativas:
- "Ley N° [número]"
- "Decreto N° [número]"
- "Decreto-Ley N° [número]"
- "Resolución N° [número]"
- "Ordenanza N° [número]"
- "Disposición N° [número]"
- "Art. [número]" o "Artículo [número]"
- "Inciso", "Párrafo", "Inciso a)" [ligadas a norma anterior]
What ships with it
3 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.
- 7d ago First seen · 222 lines · 101 tokens per session scan A c3070858b5b0
argentina-auditoria-citas-bitcoindefi is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (88 stars, last pushed 4d ago), licensed Apache-2.0. It adds 101 tokens to every session and 2,520 once invoked, about $0.0004 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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