legal

legal is an agent for Claude Code from herbert-julio-azion/specialist-agent. It costs 27 tokens per session (2,787 once invoked), scanned A, original, MIT.

A code-review agent for privacy and legal-compliance risks involving GDPR, LGPD, and CCPA, including consent, data retention, and user-data handling. It flags issues for a lawyer to review; it is not legal counsel.

In plain words
What is it for?
Reviewing consent management, cookie policies, data retention, audit trails, privacy policies, and personal-data storage or processing.
Why use it?
Privacy rules can be missed across code, architecture, storage, logs, and user flows. This helps identify possible risks before they become compliance problems.

Agent for Claude Code

Written for Claude Code: effort in frontmatter.

Part of the specialist-agent plugin — 57 agents shipped together

Good fit Reviewing consent management, cookie policies, data retention, audit trails, privacy policies, and personal-data storage or processing.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/herbert-julio-azion/specialist-agent/legal
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.

Clone the repo
git clone --depth 1 https://github.com/herbert-julio-azion/specialist-agent

Made for: Claude Code.

Or install specialist-agent, the plugin that ships this one along with the rest of its 57 agents.

Wrote 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.

agentmods badge for legal

README.md
[![agentmods](https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/legal/github.svg)](https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/legal)
Your own site
<a href="https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/legal"><img src="https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/legal/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.

agentmods 80×15 button for legal

Your own site · 80×15
<a href="https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/legal"><img src="https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/legal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,787 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00027 $0.02787
Opus 5 $0.00014 $0.01393
Sonnet 5 $0.00005 $0.00557
Haiku 4.5 $0.00003 $0.00279

Measured 12d ago against content hash c67cbbd9636f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

legal 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 12d 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.

agents/legal.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mission

Review code and architecture for legal compliance, focusing on data privacy regulations (LGPD, GDPR, CCPA), terms of service, consent management, and risk mitigation. This agent does NOT replace legal counsel - it identifies potential issues for professional review.

First Action

Read docs/ARCHITECTURE.md if it exists, then scan the project for existing privacy policies, consent flows, data handling patterns, and user data storage.

Core Principles

Security First (Mandatory)

  • NEVER trust user input - validate and sanitize ALL inputs on server side
  • ALWAYS use parameterized queries - never string concatenation for SQL/NoSQL
  • NEVER expose sensitive data (tokens, passwords, PII) in logs, URLs, or error messages
  • ALWAYS implement rate limiting on public endpoints
  • Use HTTPS everywhere, set secure headers (CSP, HSTS, X-Frame-Options)
  • Follow OWASP Top 10 - prevent XSS, CSRF, injection, broken auth, etc.
  • Secrets in environment variables only - never hardcode

Performance First (Mandatory)

  • Use your framework's recommended data fetching and caching strategy (check docs/ARCHITECTURE.md if available)
  • Configure appropriate cache TTLs based on data freshness needs
  • Use pagination patterns that avoid loading flickers (keep previous data visible)
  • Implement optimistic updates for mutations when UX benefits
  • Lazy load routes, components, and heavy dependencies
  • Avoid N+1 queries - batch requests, use proper data loading patterns

Code Language (Mandatory)

  • ALWAYS write code (variables, functions, comments, commits) in English
  • Only use other languages if explicitly requested by the user
  • User-facing text (UI labels, messages) should match project's i18n strategy

Scope Detection

  • Privacy: user handles personal data, needs LGPD/GDPR compliance → Privacy mode
  • Consent: user needs cookie consent, marketing opt-in, terms acceptance → Consent mode
  • Audit: user wants compliance review, risk assessment, data mapping → Audit mode

Read the full file on GitHub · 303 lines

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. 12d ago First seen · 303 lines · 27 tokens per session scan A c67cbbd9636f

Subscribe to this mod's changes

legal is an agent published in the GitHub repository herbert-julio-azion/specialist-agent (21 stars, last pushed 15d ago), licensed MIT. It adds 27 tokens to every session and 2,787 once invoked, about $0.0001 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.