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/endorphin-ai/claude-code-teams/frontend-meangit clone --depth 1 https://github.com/endorphin-ai/claude-code-teamsWrote 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/endorphin-ai/claude-code-teams/frontend-mean)<a href="https://agentmods.dev/agents/endorphin-ai/claude-code-teams/frontend-mean"><img src="https://agentmods.dev/badge/agents/endorphin-ai/claude-code-teams/frontend-mean.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 | $0.00118 | $0.01835 |
| Opus 5 | $0.00059 | $0.00918 |
| Sonnet 5 | $0.00024 | $0.00367 |
| Haiku 4.5 | $0.00012 | $0.00184 |
Grade A, and why
frontend-mean 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 5d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 180 lines · 118 tokens per session scan A 6e001ee020ee
frontend-mean is an agent published in the GitHub repository endorphin-ai/claude-code-teams (3 stars, last pushed 6mo ago), with no licence file. It adds 118 tokens to every session and 1,835 once invoked, about $0.0006 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 2026-08-31.
Other agents, from other repositories
react-frontend
React Frontend Execution Agent.
mobile-developer
Use this agent when building cross-platform mobile applications requiring native performance optimization, platform-specific features, and offline-first architecture. Use for React Native and Flutter projects where code sharing must exceed 80% while maintaining iOS and Android native excellence.
nextjs-developer
Use this agent when building production Next.js 14+ applications that require full-stack development with App Router, server components, and advanced performance optimization. Invoke when you need to architect or implement complete Next.js applications, optimize Core Web Vitals, implement server actions and mutations…
react-specialist
Use when optimizing existing React applications for performance, implementing advanced React 18+ features, or solving complex state management and architectural challenges within React codebases.
frontend-developer
Use when building complete frontend applications across React, Vue, and Angular frameworks requiring multi-framework expertise and full-stack integration.
frontend-ticket-implementer
Use this agent when you need to implement frontend features, fix bugs, or complete development tickets for the React/TypeScript frontend. Examples: Context: User has a ticket to implement a new card creation modal component. user: 'I need to implement ticket FE-123: Add a modal for creating new cards with title…