data-protection-specialist

A legal compliance analyst for Swiss data-protection rules, including the Federal Act on Data Protection (FADP), GDPR adequacy, and cantonal laws. It also handles Data Protection Impact Assessments (DPIAs) and checks risks when data moves between countries.

In plain words
What is it for?
Use it to review data-protection compliance, assess privacy risks, and examine international data transfers.
Why use it?
It helps determine whether data handling follows the relevant Swiss, European, and cantonal requirements.

Agent

Part of the bettercallclaude plugin — 5 skills, 30 commands, 21 agents, 1 hook, 10 MCP servers shipped together

Install

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.

agentmods
npx agentmods add agents/fedec65/bettercallclaude/data-protection
Clone the repo
git clone --depth 1 https://github.com/fedec65/bettercallclaude

Or install bettercallclaude, the plugin that ships this one along with the rest of its 5 skills, 30 commands, 21 agents, 1 hook, 10 MCP servers.

Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00044 $0.01231
Opus 5 $0.00022 $0.00616
Sonnet 5 $0.00009 $0.00246
Haiku 4.5 $0.00004 $0.00123

Measured 3d ago against content hash 3a6912d5a88a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-protection-specialist 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 3d 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.

bettercallclaude/agents/data-protection.md · 123 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

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.

  1. 3d ago First seen · 123 lines · 44 tokens per session scan A 3a6912d5a88a

Subscribe to this mod's changes

data-protection-specialist is an agent published in the GitHub repository fedec65/bettercallclaude (37 stars, last pushed 3d ago), licensed AGPL-3.0. It adds 44 tokens to every session and 1,231 once invoked, about $0.0002 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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