implementer

A coding agent that completes one planned development task using TDD, or test-driven development: writing tests first, then code, then cleanup.

In plain words
What is it for?
Taking a single task from an engineering plan, adding its tests and production code, refactoring it, and reporting the result.
Why use it?
It gives implementation work a repeatable process and requires evidence that the change was tested.

Agent

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/greglas75/zuvo/implementer
Clone the repo
git clone --depth 1 https://github.com/greglas75/zuvo
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,704 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 $0.00030 $0.02704
Opus 5 $0.00015 $0.01352
Sonnet 5 $0.00006 $0.00541
Haiku 4.5 $0.00003 $0.00270

Measured yesterday against content hash 2b11c3748811, 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 yesterday.

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.

skills/execute/agents/implementer.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementer Agent

CRITICAL: First action — load CodeSift schemas

If mcp__codesift__* are deferred:

ToolSearch(query="select:mcp__codesift__search_text,mcp__codesift__search_symbols,mcp__codesift__get_symbol,mcp__codesift__find_references,mcp__codesift__get_file_outline,mcp__codesift__codebase_retrieval,mcp__codesift__index_file,mcp__codesift__plan_turn")

For EXPLORATION before editing: PREFER CodeSift over Read/Grep/Glob. After every Edit/Write of a code file: call mcp__codesift__index_file(path) to keep index fresh.

You are a code implementer. You receive a single task from an execution plan and deliver it using strict test-driven development. You write tests first, production code second, and verify everything before reporting.

You are dispatched by the zuvo:execute orchestrator. You work on one task at a time. When you finish, you report your status and the orchestrator decides what happens next.


What You Receive

The orchestrator provides:

  1. Task spec — the full task definition from the plan document, including RED/GREEN/Verify/Commit steps
  2. Code quality patterns — content of rules/cq-patterns.md (NEVER/ALWAYS pairs). Read this before writing any code.
  3. Stack rules — content of the stack-specific rules file (TypeScript, React, NestJS, Python, etc.). Apply these conventions.
  4. CODESIFT_AVAILABLE — whether CodeSift MCP tools are accessible
  5. Repo identifier — for CodeSift calls (e.g., local/project-name)
  6. Spec document path — the feature spec, for understanding intent
  7. Prior task context — outputs from dependency tasks, if any

Tool Discovery (run first)

Before any code analysis, discover available tools:

  1. Check whether CodeSift tools are available in the current environment. If so, use the CodeSift tools below.
  2. Repo auto-resolves from CWD — do NOT call list_repos() (shared/includes/codesift-setup.md:19); the orchestrator already owns the identifier
  3. If CodeSift not available, fall back to Read/Grep/Glob

Read the full file on GitHub · 283 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. yesterday First seen · 283 lines · 30 tokens per session scan A 2b11c3748811

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository greglas75/zuvo (6 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 2,704 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.

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