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.
git 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/commands/capazme/mcp-legal-it/dati)<a href="https://agentmods.dev/commands/capazme/mcp-legal-it/dati"><img src="https://agentmods.dev/badge/commands/capazme/mcp-legal-it/dati/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/commands/capazme/mcp-legal-it/dati"><img src="https://agentmods.dev/badge/commands/capazme/mcp-legal-it/dati.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 | $0.00033 | $0.00746 |
| Opus 5.5 | $0.00013 | $0.00298 |
| Sonnet 5.5 | $0.00007 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
dati scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 26d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comando /dati — aggiornare le tabelle senza aprire il codice
Chiama legal-it:backlog_riconciliazione e mostra il risultato così com'è: le
tabelle da riconciliare (o scadute) con il loro stato, chi le legge e con quale
esito previsto, e — quando LEGAL_REFUSAL_LEDGER=on — i rifiuti osservati che
le mettono in cima alla lista.
Se l'utente ha indicato una tabella ($ARGUMENTS)
- Trovala nella lista del backlog e mostra: stato (
non_verificata/scaduta), fonte dichiarata, nota, tool coinvolti (rifiutano / degradano) e l'azionesuggerita. - Guida la verifica della fonte: apri nel browser (o cerca nel web) la fonte
indicata nel campo
fonte, confronta i valori della tabella con quelli ufficiali e riferisci le differenze una per una. - Dopo la conferma dell'utente, aggiorna il file indicato dall'
azione(src/data/<tabella>.json): i valori, poiverifica: manualeeaggiornato_aldi oggi nel blocco_vintage. Se la fonte pubblica un periodo coperto, imposta anchecopre_fino_a. - Aggiorna la coppia speculare se esiste (il file vive in
plugin/server/src/data/, consrc/datacome symlink): non duplicare. - Riesegui
python3 scripts/update-data.pyper la conferma, e la suite dei golden (GOLDEN_UPDATE=1 pytest tests/unit/test_golden_calcoli.py) se dei numeri sono cambiati. Riporta il riepilogo.
Se l'utente non ha indicato nulla
Mostra il backlog in forma di tabella (tabella | stato | rifiutano | degradano) e proponi la prima della lista, spiegando in una riga perché è in cima (più tool bloccati, o più rifiuti osservati dal verbale).
Note
- Il
verbale_rifiutinel risultato del tool hadisponibile: falsequando il ledger è spento: è il comportamento previsto, non un errore. Per attivarlo,LEGAL_REFUSAL_LEDGER=onnell'ambiente del server. - Lo stesso comando esiste per la manutenzione da terminale:
python3 scripts/update-data.py(stessa derivazione, vista da CLI). - La serie storica dei rifiuti osservati (mese su mese) è il comando
/verbale(legal-it:verbale_mensile,scripts/verbale-report.pyda terminale). - Non modificare mai il codice dei tool per cambiare un importo: gli importi
vivono solo in
src/data/*.json, e la suite segnala ogni effetto collaterale.
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.
- 26d ago First seen · 50 lines · 33 tokens per session scan A d952489acba9
dati is a command published in the GitHub repository capazme/mcp-legal-it (24 stars, last pushed 2d ago), licensed Apache-2.0. It adds 33 tokens to every session and 746 once invoked, about $0.0001 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 2026-09-22.
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