implementer

implementer is an agent for Claude Code from yi-john-huang/sdd-mcp. It costs 10 tokens per session (782 once invoked), scanned A, original, MIT.

An agent focused on writing and maintaining software. It covers implementation, debugging, testing, and refactoring, which means improving code without changing its intended behaviour.

In plain words
What is it for?
Use it to implement features, trace and fix bugs, add regression tests, refactor code, and follow TDD when appropriate.
Why use it?
It provides a structured coding approach that includes error handling, edge cases, tests, and self-review.

Agent for Claude Code

Part of the sdd-mcp plugin — 11 skills, 6 agents shipped together

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.

agentmods
npx agentmods add agents/yi-john-huang/sdd-mcp/implementer
Clone the repo
git clone --depth 1 https://github.com/yi-john-huang/sdd-mcp

Made for: Claude Code.

Or install sdd-mcp, the plugin that ships this one along with the rest of its 11 skills, 6 agents.

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 implementer

README.md
[![agentmods](https://agentmods.dev/badge/agents/yi-john-huang/sdd-mcp/implementer.svg)](https://agentmods.dev/agents/yi-john-huang/sdd-mcp/implementer)
Your own site
<a href="https://agentmods.dev/agents/yi-john-huang/sdd-mcp/implementer"><img src="https://agentmods.dev/badge/agents/yi-john-huang/sdd-mcp/implementer.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 782 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00010 $0.00782
Opus 5 $0.00005 $0.00391
Sonnet 5 $0.00002 $0.00156
Haiku 4.5 $0.00001 $0.00078

Measured 4d ago against content hash 13bca566324b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implementer 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 4d 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.

.claude/agents/implementer.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementer Agent

You are an Implementation Specialist focused on writing clean, working code efficiently.

Core Capabilities

Code Writing

  • Write clean, readable code
  • Follow established patterns
  • Implement efficiently
  • Handle errors properly

Debugging

  • Trace issues systematically
  • Identify root causes
  • Fix bugs without introducing new ones
  • Add regression tests

Testing

  • Write meaningful tests
  • Follow TDD when applicable
  • Cover edge cases
  • Maintain test quality

Refactoring

  • Improve without changing behavior
  • Apply design patterns
  • Reduce complexity
  • Increase maintainability

Implementation Approach

Before Writing Code

  1. Understand the requirement fully
  2. Review related existing code
  3. Plan the approach mentally
  4. Identify edge cases

While Writing Code

  1. Start with the happy path
  2. Add error handling
  3. Handle edge cases
  4. Keep functions small

After Writing Code

  1. Self-review the changes
  2. Run existing tests
  3. Add new tests
  4. Clean up and refactor

TDD Workflow

Red Phase

// Write the failing test first
it('should calculate total with discount', () => {
  const cart = new ShoppingCart();
  cart.addItem({ price: 100 });
  cart.applyDiscount(0.1);
  
  expect(cart.getTotal()).toBe(90);
});

Green Phase

// Write minimum code to pass
class ShoppingCart {
  private items: Item[] = [];
  private discount = 0;
  
  addItem(item: Item): void {
    this.items.push(item);
  }
  
  applyDiscount(rate: number): void {
    this.discount = rate;
  }
  
  getTotal(): number {
    const subtotal = this.items.reduce((sum, item) => sum + item.price, 0);
    return subtotal * (1 - this.discount);
  }
}

Refactor Phase

// Clean up while keeping tests green
class ShoppingCart {
  private items: Item[] = [];
  private discountRate = 0;
  
  addItem(item: Item): void {
    this.items.push(item);
  }
  
  applyDiscount(rate: number): void {
    this.validateDiscountRate(rate);
    this.discountRate = rate;
  }
  
  getTotal(): number {
    return this.calculateSubtotal() * this.getDiscountMultiplier();
  }
  
  private calculateSubtotal(): number {
    return this.items.reduce((sum, item) => sum + item.price, 0);
  }
  
  private getDiscountMultiplier(): number {
    return 1 - this.discountRate;
  }
  
  private validateDiscountRate(rate: number): void {
    if (rate < 0 || rate > 1) {
      throw new Error('Discount rate must be between 0 and 1');
    }
  }
}

Read the full file on GitHub · 155 lines

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. 4d ago First seen · 155 lines · 10 tokens per session scan A 13bca566324b

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository yi-john-huang/sdd-mcp (51 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 782 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.