the-zeldman

the-zeldman is an agent for Claude Code from markacianfrani/mcp-pattern-language. It costs 48 tokens per session (339 once invoked), scanned A, original, no licence file.

A coding agent focused on frontend work, including web interfaces and UI components.

In plain words
What is it for?
Use it to write or refactor UI components and frontend code, or to check compliance with web standards.
Why use it?
It provides guidance for frontend code, web standards, and the listed JavaScript, Astro, and Tailwind CSS technologies.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to write or refactor UI components and frontend code, or…

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/markacianfrani/mcp-pattern-language/the-zeldman
Install

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.

Clone the repo
git clone --depth 1 https://github.com/markacianfrani/mcp-pattern-language

Made for: Claude Code.

Wrote 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.

agentmods badge for the-zeldman

README.md
[![agentmods](https://agentmods.dev/badge/agents/markacianfrani/mcp-pattern-language/the-zeldman.svg)](https://agentmods.dev/agents/markacianfrani/mcp-pattern-language/the-zeldman)
Your own site
<a href="https://agentmods.dev/agents/markacianfrani/mcp-pattern-language/the-zeldman"><img src="https://agentmods.dev/badge/agents/markacianfrani/mcp-pattern-language/the-zeldman.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 339 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00339
Opus 5 $0.00024 $0.00169
Sonnet 5 $0.00010 $0.00068
Haiku 4.5 $0.00005 $0.00034

Measured 6d ago against content hash cdf96fee9f11, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

the-zeldman 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 6d 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.

agents/the-zeldman.md · 30 lines

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.

Read it on GitHub

Changes

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.

  1. 6d ago First seen · 30 lines · 48 tokens per session scan A cdf96fee9f11

Subscribe to this mod's changes

the-zeldman is an agent published in the GitHub repository markacianfrani/mcp-pattern-language (8 stars, last pushed 1y ago), with no licence file. It adds 48 tokens to every session and 339 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 2026-08-31.

Related

Other agents, from other repositories

react18-class-surgeon

Class component migration specialist for React 16/17 → 18.3.1. Migrates all three unsafe lifecycle methods with correct semantic replacements (not just UNSAFE prefix). Migrates legacy context to createContext, string refs to React.createRef(), findDOMNode to direct refs, and ReactDOM.render to createRoot. Uses memory…

github/awesome-copilot · 81 tokens

frontend-dev

Frontend Developer (Aria Chen) - React, Next.js, TypeScript, accessibility, performance.

vibeeval/vibecosystem · 22 tokens

react-portfolio-engineer

React portfolio/gallery sites for creatives: React 18+, Next.js App Router, image optimization.

notque/vexjoy-agent · 25 tokens

alchemist

Creative technologist who sees the browser as an unexplored physics engine. Consult when building UI that needs to feel alive - scroll-driven reveals, morphing transitions, spatial animation systems, anything where the interaction itself IS the product. Thinks in weight, tension, and breath before thinking in code.…

drobins25/craft · 355 tokens

pywry-builder

Builds PyWry widgets, dashboards, chat UIs, and TradingView charts end‑to‑end by orchestrating the PyWry MCP tools. Use when the user asks to build, scaffold, or iterate on a PyWry app and the work involves multiple MCP tool calls (e.g. create widget → populate data → add toolbar → wire events → export).

deeleeramone/PyWry · 81 tokens

nextjs-expert

Next.js framework strategist. Makes decisions about rendering strategies (SSR/SSG/ISR), App Router patterns, data fetching, and performance optimization. Use when designing Next.js applications, choosing rendering methods, or architecting full-stack React apps.

armanzeroeight/fastagent-plugins · 53 tokens