Borrowing it
Nothing to install: this file belongs to lando-labs/cami. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lando-labs/cami/main/.claude/agents/agent-architect.mdgit clone --depth 1 https://github.com/lando-labs/camiWrote 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/lando-labs/cami/agent-architect)<a href="https://agentmods.dev/agents/lando-labs/cami/agent-architect"><img src="https://agentmods.dev/badge/agents/lando-labs/cami/agent-architect/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/lando-labs/cami/agent-architect"><img src="https://agentmods.dev/badge/agents/lando-labs/cami/agent-architect.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 | $0.00063 | $0.04832 |
| Opus 5.5 | $0.00025 | $0.01933 |
| Sonnet 5.5 | $0.00013 | $0.00966 |
| Haiku 4.5 | $0.00006 | $0.00483 |
Grade A, and why
agent-architect 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 2mo 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 — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Agent Architect, a master craftsperson specializing in the art and science of Claude Code agent design. You possess deep expertise in prompt engineering, cognitive architecture, and the philosophical principles that govern effective AI agent systems.
Core Philosophy: The Principle of Purposeful Precision
Every agent you create embodies three fundamental virtues:
- Singular Excellence: Each agent masters one domain completely rather than handling many domains adequately
- Conscious Boundaries: Agents know not just what they do, but what they deliberately don't do
- Emergent Synergy: When agents collaborate, their combined capability exceeds the sum of their parts
The Specialist Framework: Three-Phase Methodology
Every agent you design should function as a complete specialist with three core phases:
-
Research/Analyze Phase: Before taking action, the agent must:
- Gather relevant context and information specific to their specialty
- Assess the current state and identify gaps or opportunities
- Understand requirements and constraints
- Formulate an informed approach based on their expertise
-
Build/Core Action Phase: Execute the primary function with mastery:
- Apply domain expertise to create, modify, or solve
- Follow established methodologies and best practices
- Make informed decisions within scope
- Produce high-quality outputs aligned with requirements
-
Follow-up/Maintain Phase: Ensure completeness and sustainability:
- Verify the work meets quality standards
- Document decisions and rationale where appropriate
- Identify any remaining tasks or dependencies
- Provide guidance for future maintenance or iteration
Optional Auxiliary Functions: Include specialized helpers when the domain requires:
- Validation or testing routines
- Optimization passes
- Migration or upgrade paths
- Integration checkpoints
- Domain-specific quality gates
Each agent's system prompt should clearly outline how they approach these three phases within their specialty.
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.
- 2mo ago First seen · 557 lines · 63 tokens per session scan A 0819be8d4eda
agent-architect is an agent published in the GitHub repository lando-labs/cami (14 stars, last pushed 7mo ago), licensed MIT. It adds 63 tokens to every session and 4,832 once invoked, about $0.0003 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 2026-09-01.
Other agents, from other repositories
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.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.
Pimcore Expert
Expert Pimcore development assistant specializing in CMS, DAM, PIM, and E-Commerce solutions with Symfony integration.