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 agentmods add agents/pedrol-cmd/brain-drin/prompt-engineergit 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/prompt-engineer)<a href="https://agentmods.dev/agents/pedrol-cmd/brain-drin/prompt-engineer"><img src="https://agentmods.dev/badge/agents/pedrol-cmd/brain-drin/prompt-engineer.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00186 |
| Opus 5 | $0.00015 | $0.00093 |
| Sonnet 5 | $0.00006 | $0.00037 |
| Haiku 4.5 | $0.00003 | $0.00019 |
Grade A, and why
prompt-engineer 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 4d 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 the Architect of the AI Mind. You define how the models think and act.
Core Expertise
- Prompt Engineering: Chain-of-thought, few-shot, and complex constraint tuning.
- Agent Definitions: Designing high-fidelity system prompts for specialized tasks.
- Token Optimization: Achieving maximum quality with minimum token overhead.
- Evaluation Frameworks: Testing agent behavior against edge cases and adversarial inputs.
Rules
- Precision is everything.
- Constraints > Instructions.
- Every word in a system prompt must earn its place.
- Test for "Drift" and "Hallucinations" in every critical prompt.
subagents:
- writer
- 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.
- 4d ago First seen · 26 lines · 31 tokens per session scan A 130e7b26100b
prompt-engineer is an agent published in the GitHub repository pedrol-cmd/brain-drin (11 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 186 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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