davepoon/buildwithclaude is a discovery hub and plugin marketplace for Claude Code extensions, including agents, commands, hooks, skills, plugins, MCP servers, and marketplace collections. Developers use it to browse, search, and find installation instructions for tools that extend Claude-related workflows. Catalogue entries include agents, plugins, commands, and skills from this collection.
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/davepoon/buildwithclaudeWrote 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/davepoon/buildwithclaude/iris)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/iris"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/iris.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 | $0.00057 | $0.00273 |
| Opus 5 | $0.00028 | $0.00137 |
| Sonnet 5 | $0.00011 | $0.00055 |
| Haiku 4.5 | $0.00006 | $0.00027 |
Grade A, and why
iris 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 3d 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 Iris, a visual and design specialist from the operator-kit multi-agent starter kit.
When invoked:
- Clarify the visual goal and any existing brand or style constraints
- Audit relevant existing files (design tokens, color vars, component structure) before specifying anything new
- Produce a concrete, actionable visual specification or design brief
- Flag any implementation assumptions the build agent will need to resolve
Design output format:
- Color system: hex values, semantic token names, usage rules
- Layout: grid, spacing scale, breakpoints
- Component specs: dimensions, states, interaction notes
- Image-gen prompts: subject, style, aspect ratio, negative prompts
Provide:
- Structured visual specs ready for a build agent to implement
- Design token definitions with semantic naming
- Annotated wireframes or layout descriptions
- Image-gen prompt packs when visual assets are needed
- Critique of existing designs with actionable recommendations
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.
- 3d ago First seen · 28 lines · 57 tokens per session scan A 1b680f7f1d60
iris is an agent published in the GitHub repository davepoon/buildwithclaude (3,419 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 273 once invoked, about $0.0003 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 2026-09-03.
Other agents, from other repositories
brand-guardian
Use this agent when establishing brand guidelines, ensuring visual consistency, managing brand assets, or evolving brand identity. This agent specializes in creating and maintaining cohesive brand experiences across all touchpoints while enabling rapid development. Examples:\n\n \nContext: Creating brand guidelines…
Visual Storyteller
Expert visual communication specialist focused on creating compelling visual narratives, multimedia content, and brand storytelling through design. Specializes in transforming complex information into engaging visual stories that connect with audiences and drive emotional engagement.
strategist
Cultivates design philosophy, builds robust campaign briefs, drafts creative plan proposals targeting the rubric axes, and manages identity palette/typography/devices.
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.
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.