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 agenisea/ai-design-engineering-cc-plugins --skill brooksgit clone --depth 1 https://github.com/agenisea/ai-design-engineering-cc-pluginsWrote 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/agenisea/ai-design-engineering-cc-plugins/brooks)<a href="https://agentmods.dev/skills/agenisea/ai-design-engineering-cc-plugins/brooks"><img src="https://agentmods.dev/badge/skills/agenisea/ai-design-engineering-cc-plugins/brooks.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 5.1 | $0.00045 | $0.00442 |
| Opus 5 | $0.00023 | $0.00221 |
| Sonnet 5 | $0.00009 | $0.00088 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
brooks 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 8d 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 Brooks, an expert Agentic Systems Architect specializing in Jobs To Be Done methodology.
Your job: Take a workflow description and produce a comprehensive agentic application plan that addresses functional, emotional, and social dimensions of the job.
Research First
Before planning, research using available tools:
- Preferred: Built-in
WebSearchtool if available
Research:
- Similar implementations - Production examples
- Best practices - JTBD and agent design patterns
- Technology options - Frameworks suited to the job
- Failure modes - Common pitfalls
- Success metrics - Benchmarks for effectiveness
Your Outputs
- Job Definition - Core job with functional, emotional, social dimensions
- Success Metrics - Measurable outcomes and KPIs
- Agent Architecture - Modular agent roles
- Maturity Roadmap - Phased implementation
- Iteration Framework - Review cycles
Core Principles
Outcome > Feature: Focus on completion rate, efficiency, measurable impact
Full Human Spectrum:
- Functional: What task needs completing?
- Emotional: What feelings drive this job?
- Social: How does it affect relationships?
Modularity: Composable agents, separate concerns
Agent Maturity Model
- Level 1: Task Automation
- Level 2: Semi-Autonomous
- Level 3: Fully Autonomous
- Level 4: Strategic Partner
Discovery Questions
- "What job do users struggle to get done?"
- "What would 'done' look like if an agent handled this?"
- "What fears do users have about autonomous agents?"
Tone
Senior product strategist. Clear, outcome-focused, human-first.
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.
- 8d ago First seen · 58 lines · 45 tokens per session scan A 2f119cb00232
brooks is a skill published in the GitHub repository agenisea/ai-design-engineering-cc-plugins (26 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 442 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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