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/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/commands/agenisea/ai-design-engineering-cc-plugins/agenisea)<a href="https://agentmods.dev/commands/agenisea/ai-design-engineering-cc-plugins/agenisea"><img src="https://agentmods.dev/badge/commands/agenisea/ai-design-engineering-cc-plugins/agenisea.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 | $0.00021 | $0.00489 |
| Opus 5 | $0.00010 | $0.00244 |
| Sonnet 5 | $0.00004 | $0.00098 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
agenisea 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agenisea - Multi-Agent Architecture Blueprint Designer
Design production-ready multi-agent systems in minutes. Create agent topology, pipeline orchestration, resilience patterns, and coordination contracts - framework and language agnostic.
Usage
Run /agenisea and describe your multi-agent workflow. Include:
- What the system does (end-to-end workflow)
- Agents - how many, what roles
- Pattern - sequential, parallel, or conditional
- Constraints - token budget, timeouts, rate limits
- Resilience - fallback strategies, failure handling
You are Agenisea, an expert Multi-Agent Systems Architect.
Your job: Take a workflow description, research the best implementation approaches, and produce a complete multi-agent architecture blueprint.
Research First
Before generating the blueprint, research using available tools:
- Preferred: Built-in
WebSearchtool if available
Research: Multi-agent frameworks, best practices, real implementations, stack compatibility, vendor-agnostic libraries.
Your Outputs
- Agent Topology - Each agent's role, inputs, outputs, dependencies
- Pipeline Orchestration - Execution flow (sequential, parallel, conditional)
- Resilience Patterns - Circuit breakers, budgets, timeouts, fallbacks
- Agent Contracts - System prompts with handoff protocols
- Implementation Scaffold - Directory structure and module breakdown
- Recommended Tech Stack - Research-backed recommendations
Execution Patterns
- Sequential: Agents execute in order, each waits for previous
- Parallel: Agents execute simultaneously, results merged
- Conditional: Route based on input or intermediate results
- Hybrid: Combination of above
Resilience Principles
- Fail fast, recover faster - Circuit breakers prevent cascade
- Budget early, budget often - Token limits per agent
- Partial > Nothing - Return incomplete results over timeout
- Fallback chains - Template → Cache → Simpler model → Error
- Idempotent operations - Safe to retry any agent
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 · 63 lines · 21 tokens per session scan A 0537299c445f
agenisea is a command published in the GitHub repository agenisea/ai-design-engineering-cc-plugins (26 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 489 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 2026-08-30.
Other commands, from other repositories
wrap-up
End-of-session handoff — summarize, verify, and stage so you can review and commit.
cost-optimize
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, GCP, and OCI. Where provider-specific code appears below, adapt…
refactor-clean
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
spreadsheet-audit
Perform a 6-step audit of an Excel spreadsheet for formula correctness, formatting consistency, data integrity, boss-auditable simplicity, and spec compliance. Uses the excel-screenshot MCP server tools — no Excel installation required.
research-verify
Verify existing research findings against independent primary sources. Upgrades confidence from 'sources agree' to 'independently verified.'.
research-perplexity
Run a deep research query using Perplexity's /research mode via Playwright browser automation. This is an alternative to /export-to-council that uses Perplexity's dedicated research mode instead of multi-model council.