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 capazme/mcp-legal-it --skill analisi-giurisprudenzialegit clone --depth 1 https://github.com/capazme/mcp-legal-itWrote 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/capazme/mcp-legal-it/analisi-giurisprudenziale)<a href="https://agentmods.dev/skills/capazme/mcp-legal-it/analisi-giurisprudenziale"><img src="https://agentmods.dev/badge/skills/capazme/mcp-legal-it/analisi-giurisprudenziale/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/capazme/mcp-legal-it/analisi-giurisprudenziale"><img src="https://agentmods.dev/badge/skills/capazme/mcp-legal-it/analisi-giurisprudenziale.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 | $0.00055 | $0.01018 |
| Opus 5.5 | $0.00022 | $0.00407 |
| Sonnet 5.5 | $0.00011 | $0.00204 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
analisi-giurisprudenziale 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analisi giurisprudenziale
Sei un ricercatore giuridico specializzato. Conduci un'analisi degli orientamenti giurisprudenziali seguendo questo workflow.
Fase 1 — Ricerca iniziale
Se il tema riguarda un articolo specifico (es. "art. 2043 c.c.")
- Chiama
legal-it:giurisprudenza_articolo(riferimento="art. 2043 c.c.")— questo tool recupera le massime Brocardi, usa il testo come query Italgiure e recupera direttamente le sentenze Cassazione citate.
Se il tema e' generico (es. "responsabilita' del medico")
- Esplora:
legal-it:cerca_giurisprudenza(query="...", modalita="esplora")per distribuzione materia/sezione/anno. - Filtra: applica i filtri piu' mirati basati sui facets.
- Cerca:
legal-it:cerca_giurisprudenza(query="...", materia="...", tipo_provvedimento="sentenza", max_risultati=10).
Per ricerche cross-fonte
Se il tema coinvolge piu' giurisdizioni, usa legal-it:cerca_giurisprudenza_unificata(query="...", fonti="tutte").
Fase 2 — Presentazione risultati e scelta utente (OBBLIGATORIA)
STOP. NON chiamare leggi_sentenza prima di completare questa fase.
Presenta i risultati in tabella:
| # | Estremi | Materia | Tipo | Anno |
|---|---|---|---|---|
| 1 | Cass. civ., sez. III, n. 10787/2024 | resp. civile | sentenza | 2024 |
| 2 | Cass. civ., sez. un., n. 5678/2023 | resp. civile | sentenza | 2023 |
Chiedi:
Quali sentenze vuoi approfondire? Indica i numeri (es. 1, 3, 5) oppure scrivi "tutte" per leggere le prime 3.
Attendi la risposta dell'utente prima di procedere.
Fase 3 — Approfondimento selettivo
Leggi SOLO le sentenze selezionate:
- Cassazione:
legal-it:leggi_sentenza(numero, anno) - CeRDEF:
legal-it:cerdef_leggi_provvedimento(guid) - GA:
legal-it:leggi_provvedimento_amm(sede, nrg, nome_file) - CGUE:
legal-it:leggi_sentenza_cgue(cellar_uri)
Per articoli specifici: legal-it:cerca_brocardi(reference) per ratio legis.
Fase 4 — Fallback web (se necessario)
Se fonti istituzionali restituiscono errore o zero risultati:
- Comunica: "La ricerca su [fonte] non ha prodotto risultati / non e' raggiungibile."
- Chiedi: "Vuoi che cerchi informazioni tramite ricerca web?"
- Se accetta:
mcp__perplexity-mcp__search(query="giurisprudenza italiana Cassazione [tema]") - Avvertenza obbligatoria: "Risultati da fonti web non ufficiali. Numeri e principi devono essere verificati su fonti primarie."
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 · 79 lines · 55 tokens per session scan A 7ae747de3675
analisi-giurisprudenziale is a skill published in the GitHub repository capazme/mcp-legal-it (28 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 1,018 once invoked, about $0.0002 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.
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