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 thalysjuvenal/advpl-specialist --skill code-explanationgit clone --depth 1 https://github.com/thalysjuvenal/advpl-specialistWrote 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/thalysjuvenal/advpl-specialist/code-explanation)<a href="https://agentmods.dev/skills/thalysjuvenal/advpl-specialist/code-explanation"><img src="https://agentmods.dev/badge/skills/thalysjuvenal/advpl-specialist/code-explanation/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/thalysjuvenal/advpl-specialist/code-explanation"><img src="https://agentmods.dev/badge/skills/thalysjuvenal/advpl-specialist/code-explanation.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 | $0.00129 | $0.00389 |
| Opus 5 | $0.00064 | $0.00195 |
| Sonnet 5 | $0.00026 | $0.00078 |
| Haiku 4.5 | $0.00013 | $0.00039 |
Grade A, and why
code-explanation 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.
What it actually says
ADVPL/TLPP Code Explanation
This skill provides a methodology for explaining existing ADVPL/TLPP code in plain language, tailored to three audience levels: a junior developer needing line-by-line detail, a senior developer needing a business-logic summary with risks and technical debt, and a functional consultant needing a non-technical description of what the routine does from a business perspective.
Activate this skill when the user wants an existing routine, function, or snippet explained -- e.g. onboarding a new developer, understanding legacy code with no documentation, or briefing a functional consultant on a customization. It reads the target code, determines the requested (or asked) explanation level, and structures the output accordingly, optionally pulling in native-function meanings, business-process context, or SQL details as needed.
It does not cover generating formal documentation artifacts like Protheus.doc headers or full routine specs (see documentation-patterns), looking up native function syntax in isolation (see protheus-reference), or explaining embedded SQL macro semantics in depth (see embedded-sql).
| Reference file | Read when |
|---|---|
| reference.md | Always -- explanation levels, structure per level (junior/senior/funcional), and the analysis process |
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 · 17 lines · 129 tokens per session scan A fe3f20525ffb
code-explanation is a skill published in the GitHub repository thalysjuvenal/advpl-specialist (186 stars, last pushed 18d ago), licensed MIT. It adds 129 tokens to every session and 389 once invoked, about $0.0006 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.
Other skills, from other repositories
advpl-dev
Especialista em desenvolvimento ADVPL/TLPP para o ecossistema TOTVS Protheus. Use esta skill para auxiliar com: escrita e revisão de código ADVPL e TLPP, criação de pontos de entrada (convencional e MVC), desenvolvimento de APIs REST, consultas SQL/Embedded SQL, acesso a tabelas do Protheus, criação de classes OO…
gestor-autonomos
Gestoría y contabilidad para autónomos en España. Usar cuando el usuario necesite calcular IVA trimestral (modelo 303), calcular pagos fraccionados de IRPF (modelo 130), gestionar libro de ingresos y gastos, verificar facturas emitidas o recibidas, calcular retenciones, preparar declaraciones trimestrales, estimar…
repo-first-defense
Auditoría defensiva para repositorios AI-native. Usar SIEMPRE que el usuario quiera revisar un repo antes de lanzar, mergear, actualizar dependencias, migrar package manager, configurar un agente IA, MCP, Claude/Cursor/Codex/OpenClaw, o cuando mencione supply chain, prompt injection, secretos, GitHub Actions…
landing-page-mastery
Sistema experto para crear y optimizar landing pages de alta conversión para productos digitales. Úsala para crear páginas desde cero (SaaS, cursos, ebooks, newsletters, Micro-SaaS), auditar páginas existentes para mejorar conversión, o generar copy persuasivo (PAS, AIDA). Incluye estructuras, copy, diseño, CTAs…
nombre-de-mi-skill
Descripción clara y completa de qué hace esta skill y cuándo debe activarse. Incluye los casos de uso principales y el contexto en el que Claude debe usar esta skill. Sé específico y detallado.
prompt-master
Generates optimized prompts for any AI tool. Use when writing, fixing, improving, or adapting a prompt for LLM, Cursor, Midjourney, image AI, video AI, coding agents, or any other AI tool.