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 data-breachgit 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/data-breach)<a href="https://agentmods.dev/skills/capazme/mcp-legal-it/data-breach"><img src="https://agentmods.dev/badge/skills/capazme/mcp-legal-it/data-breach/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/data-breach"><img src="https://agentmods.dev/badge/skills/capazme/mcp-legal-it/data-breach.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 | $0.00060 | $0.00342 |
| Opus 5 | $0.00030 | $0.00171 |
| Sonnet 5 | $0.00012 | $0.00068 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
data-breach 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 11d 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
Data Breach
Valutazione rischio, notifica Garante, stima sanzioni.
Workflow
1. Raccolta dati incidente
Identificare: tipo violazione (confidenzialita/integrita/disponibilita), numero interessati, categorie dati, causa, data scoperta.
2. Valutazione rischio
Chiama legal-it:valutazione_data_breach:
- Livello rischio per interessati
- Obbligo notifica Garante (art. 33 GDPR)
- Obbligo comunicazione interessati (art. 34 GDPR)
3. Notifica al Garante
Se necessaria: chiama legal-it:genera_notifica_data_breach.
SCADENZA: 72 ore dalla scoperta.
4. Stima sanzioni
Chiama legal-it:calcolo_sanzione_gdpr con criteri art. 83(2) GDPR.
5. Piano d'azione
- Contenere la violazione
- Documentare nel registro violazioni (art. 33(5))
- Notificare al Garante (se rischio non improbabile)
- Comunicare agli interessati (se rischio elevato)
- Misure correttive
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.
- 11d ago First seen · 40 lines · 60 tokens per session scan A cbeebb709bc1
data-breach is a skill published in the GitHub repository capazme/mcp-legal-it (15 stars, last pushed today), licensed Apache-2.0. It adds 60 tokens to every session and 342 once invoked, about $0.0003 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.
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Run a compliance audit Mistral Workflow, query mid-run findings via workflowinteract(action="query"), and signal approval or escalation decisions at checkpoints via workflowinteract(action="signal"). Use when the user wants to run a compliance audit (GDPR, SOC2, PCI-DSS, etc.) against a deployed Mistral Workflow.
contract-analyzer
OCR a contract PDF with mistralocr, then extract structured clauses and risk scores with mistralchat + jsonschema. Use when the user provides a contract document to analyze for risks, obligations, and key terms.
contract-review-workflow
Trigger a deployed Mistral Workflow for contract review, poll execution status, detect human-in-the-loop checkpoints via workflowinteract(query), collect approval or changes, and resume the workflow via workflowinteract(signal). Use when the user wants to run a contract through a Mistral Workflow with oversight…