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 pedrol-cmd/brain-drin --skill drin-legal-risk-assessmentgit clone --depth 1 https://github.com/pedrol-cmd/brain-drinWrote 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/pedrol-cmd/brain-drin/drin-legal-risk-assessment)<a href="https://agentmods.dev/skills/pedrol-cmd/brain-drin/drin-legal-risk-assessment"><img src="https://agentmods.dev/badge/skills/pedrol-cmd/brain-drin/drin-legal-risk-assessment/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/pedrol-cmd/brain-drin/drin-legal-risk-assessment"><img src="https://agentmods.dev/badge/skills/pedrol-cmd/brain-drin/drin-legal-risk-assessment.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 | $0.00020 | $0.00173 |
| Opus 5 | $0.00010 | $0.00086 |
| Sonnet 5 | $0.00004 | $0.00035 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
drin-legal-risk-assessment 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 9d 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
Legal Risk Assessment
Purpose
To protect the company from common legal pitfalls related to data, licensing, and liability.
Checkpoints
- License Compliance: Are we using GPA/AGPL in a way that forces open-sourcing?
- Data Liabilities: Are we collecting PII we don't need?
- Contractual Safety: Do our ToS limit liability for AI-generated outputs?
- Patent Infringement: Are we visibly copying a patented methodology?
Rules
- If unsure, flag for legal counsel.
- Document every "Exception" or "Justification" for high-risk tools.
subagents:
- legal-compliance
- researcher
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.
- 9d ago First seen · 25 lines · 20 tokens per session scan A 3621db280dca
drin-legal-risk-assessment is a skill published in the GitHub repository pedrol-cmd/brain-drin (11 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 173 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 2026-09-03.
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