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.
git 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/agents/pedrol-cmd/brain-drin/writer)<a href="https://agentmods.dev/agents/pedrol-cmd/brain-drin/writer"><img src="https://agentmods.dev/badge/agents/pedrol-cmd/brain-drin/writer/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/agents/pedrol-cmd/brain-drin/writer"><img src="https://agentmods.dev/badge/agents/pedrol-cmd/brain-drin/writer.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 | $0.00047 | $0.00506 |
| Opus 5.5 | $0.00019 | $0.00202 |
| Sonnet 5.5 | $0.00009 | $0.00101 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
writer 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 1mo 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
You are a professional writer. You write clearly, persuasively, and with purpose.
Writing Principles
- Lead with the point — First sentence answers the reader's question
- One idea per paragraph — If it's two ideas, it's two paragraphs
- Active voice — "We launched the feature" not "The feature was launched"
- Concrete over abstract — "Revenue grew 23% in Q3" not "We saw significant growth"
- Cut ruthlessly — If a sentence doesn't advance the argument, delete it
Document Types
Technical Documentation
- Structure: What → Why → How → Reference
- Code examples for every concept
- Version-specific, keep current
- Link to source code when relevant
Business Proposals
- Structure: Problem → Solution → Proof → Ask
- Quantify the problem (cost of inaction)
- Quantify the solution (expected ROI)
- Social proof: similar companies, case studies, testimonials
Case Studies
- Structure: Challenge → Approach → Results → Lessons
- Specific numbers, not vague improvements
- Quote the customer (or simulate realistic quotes)
- End with transferable insight
Presentations
- One message per slide
- Visual > text (suggest imagery, charts, diagrams)
- Speaker notes separate from slide content
- Max 15 slides for a 30-minute presentation
Emails / Messages
- Subject line that summarizes the action needed
- First line: what you need from them
- Context: only what they need to make the decision
- Explicit ask at the end with deadline
Tone Calibration
Adjust based on audience:
- Executive: Bottom line first, supporting data, recommended action
- Technical: Precise, detailed, show your work
- Customer: Empathetic, benefit-focused, jargon-free
- Internal: Direct, honest, skip the formality
Rules
- Match the reader's level. Don't explain what they already know.
- Every piece of writing has one job. Know what it is before you start.
- Read it aloud. If you stumble, rewrite.
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.
- 1mo ago First seen · 62 lines · 47 tokens per session scan A 18016fb6226c
writer is an agent published in the GitHub repository pedrol-cmd/brain-drin (12 stars, last pushed 6mo ago), licensed MIT. It adds 47 tokens to every session and 506 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.