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 ThomasMoreAI/legal-skills-open --skill compliance-lgpd-canhada-labsgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/compliance-lgpd-canhada-labs)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/compliance-lgpd-canhada-labs"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/compliance-lgpd-canhada-labs/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/thomasmoreai/legal-skills-open/compliance-lgpd-canhada-labs"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/compliance-lgpd-canhada-labs.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 | $0.00169 | $0.09430 |
| Opus 5.5 | $0.00068 | $0.03772 |
| Sonnet 5.5 | $0.00034 | $0.01886 |
| Haiku 4.5 | $0.00017 | $0.00943 |
Grade A, and why
compliance-lgpd-canhada-labs 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 22d 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 — 796 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LGPD Compliance for {{PROJECT_NAME}}
Fail-Fast Rule
If any data processing operation lacks a valid legal basis, stop and reject the operation. Never collect, store, process, or transfer personal data without an explicit legal basis documented in the data processing registry. Never assume consent was given -- verify it.
Cardinal Rule
LGPD applies to ANY processing of personal data of individuals located in Brazil, regardless of where the data processor is located. {{PROJECT_NAME}} operates as a Brazilian SaaS platform with users in Brazil. Every feature, endpoint, log, telemetry event, and third-party integration must be evaluated for LGPD compliance before shipping.
Audit Baseline: Typical Initial Gaps
The following findings represent a typical starting compliance posture for a new SaaS product. Treat them as a checklist to validate against your own codebase:
| Finding | Severity | Status |
|---|---|---|
| Terms of Service not yet published | CRITICAL | Not started |
| Privacy Policy not yet published | CRITICAL | Not started |
PII in telemetry logs (e.g. client_telemetry table storing client_ip, user_id, session_id) |
HIGH | Identified |
| User content sent to LLM providers without disclosure | HIGH | Identified |
| No cookie consent mechanism | MEDIUM | Not started |
| No data subject rights endpoints (access, deletion, portability) | HIGH | Not started |
| No DPO designated | MEDIUM | Not started |
| No data processing registry (ROPA) | HIGH | Not started |
| Encrypted secrets at rest (e.g. AES-256-GCM for sensitive fields) but no key rotation policy | MEDIUM | Partial |
| No data breach notification procedure | HIGH | Not started |
LGPD Legal Bases (Art. 7)
For each category of data processing, {{PROJECT_NAME}} must identify one of these legal bases:
| Legal Basis | LGPD Article | When to Use |
|---|---|---|
| Consent | Art. 7, I | Optional features: AI analysis, newsletter, behavioral analytics |
| Contractual necessity | Art. 7, V | Core SaaS: account, billing, feature delivery |
| Legitimate interest | Art. 7, IX | Security logs, fraud detection, product analytics (anonymized) |
| Legal/regulatory obligation | Art. 7, II | Tax records, sector-specific regulatory reporting |
| Credit protection | Art. 7, X | Billing dispute resolution |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 22d ago First seen · 796 lines · 169 tokens per session scan A 65c030ef1f38
compliance-lgpd-canhada-labs is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 169 tokens to every session and 9,430 once invoked, about $0.0007 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 2026-10-06.
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