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 betobetico/claude-para-abogados --skill claimsgit clone --depth 1 https://github.com/betobetico/claude-para-abogadosWrote 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/betobetico/claude-para-abogados/claims)<a href="https://agentmods.dev/skills/betobetico/claude-para-abogados/claims"><img src="https://agentmods.dev/badge/skills/betobetico/claude-para-abogados/claims/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/betobetico/claude-para-abogados/claims"><img src="https://agentmods.dev/badge/skills/betobetico/claude-para-abogados/claims.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 | $0.00099 | $0.01652 |
| Opus 5.5 | $0.00040 | $0.00661 |
| Sonnet 5.5 | $0.00020 | $0.00330 |
| Haiku 4.5 | $0.00010 | $0.00165 |
Grade A, and why
claims 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 1mo 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/claims
- Cargar
~/.claude/plugins/config/claude-para-abogados/consumo/CLAUDE.md→ sector, tolerancia al riesgo, historial de claims. - Obtener el material publicitario o los claims.
- Analizar claim por claim.
- Generar tabla con clasificación y acción requerida.
/consumo:claims
"Nuestro producto es el más vendido de España"
"Ingredientes 100% naturales"
"Resultados garantizados en 30 días"
Propósito
Los claims publicitarios son la primera línea de riesgo de consumo. Un claim sin sustanciación es publicidad engañosa (LCD art. 5). Un claim comparativo sin cumplir los requisitos es publicidad ilícita (LCD art. 10). Un influencer sin etiquetar la publicidad es práctica comercial desleal. Este skill revisa cada afirmación y clasifica el riesgo.
Tipos de claims y marco legal
Publicidad engañosa (LCD art. 5)
Es desleal la conducta que contenga información falsa o que, siendo veraz, por su contenido o presentación induzca o pueda inducir a error a los destinatarios. Se evalúa:
- Existencia, naturaleza y características del producto
- Precio o modo de cálculo
- Servicio posventa y garantía
- Necesidad de servicio o pieza
- Naturaleza, cualificación y derechos del empresario
Publicidad comparativa (LCD art. 10)
Lícita solo si:
- No es engañosa
- Compara bienes o servicios que satisfacen las mismas necesidades
- Compara objetivamente características esenciales, pertinentes, verificables y representativas
- No desacredita ni denigra al competidor
- No se aprovecha indebidamente de la reputación del competidor
- No presenta el bien como imitación o réplica
Prácticas comerciales con consumidores
- Prácticas engañosas por acción (LCD art. 5) — información falsa o que induce a error
- Prácticas engañosas por omisión (LCD art. 7) — ocultar información sustancial
- Prácticas agresivas (LCD art. 8) — coacción, acoso, influencia indebida
Influencers y publicidad encubierta
- Toda publicidad debe ser identificable como tal (LCD art. 26)
- El influencer debe etiquetar el contenido patrocinado de forma clara y visible
- Código de conducta de Autocontrol sobre publicidad con influencers
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.
- 1mo ago First seen · 161 lines · 99 tokens per session scan A b7feca9fa670
claims is a skill published in the GitHub repository betobetico/claude-para-abogados (44 stars, last pushed 27d ago), licensed Apache-2.0. It adds 99 tokens to every session and 1,652 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 2026-08-30.
Other skills, from other repositories
fto-triage
Freedom-to-operate triage — a structured first look at potentially blocking patents, not an FTO opinion. Use when a product, process, or feature is being evaluated for blocking patents, when asked whether anything stops a launch, or to build a claim-chart first pass against the most plausible patents before patent…
legal-hold
Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
terms-of-service
Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
ai-risk-management
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the…