implementer

implementer is an agent for Claude Code from strikersam/autonomous-ai-agency. It costs 0 tokens per session (366 once invoked), scanned A, original, MIT.

A coding agent that carries out a developer's step-by-step implementation plan by reading files, searching code, and applying changes. It passes each changed file to a verifier for checking.

In plain words
What is it for?
Use it to implement planned code changes, create or replace files, respond to verifier feedback, and stop safely after repeated failures.
Why use it?
It separates planning from execution and makes the agent gather context before editing, while limiting retries when a change fails.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to implement planned code changes, create or replace files, respond to verifier feedback, and stop safely after repeated failures.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/strikersam/autonomous-ai-agency/implementer
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/strikersam/autonomous-ai-agency

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 implementer

README.md
[![agentmods](https://agentmods.dev/badge/agents/strikersam/autonomous-ai-agency/implementer.svg)](https://agentmods.dev/agents/strikersam/autonomous-ai-agency/implementer)
Your own site
<a href="https://agentmods.dev/agents/strikersam/autonomous-ai-agency/implementer"><img src="https://agentmods.dev/badge/agents/strikersam/autonomous-ai-agency/implementer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 366 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 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 5.1 $0.00000 $0.00366
Opus 5 $0.00000 $0.00183
Sonnet 5 $0.00000 $0.00073
Haiku 4.5 $0.00000 $0.00037

Measured 8d ago against content hash f42651de2470, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 8d 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 · 49 lines

What it actually says

Agent: Implementer (Executor)

Role

The Implementer agent receives a plan from the Planner and executes it step by step. It uses the WorkspaceTools (read_file, list_files, search_code, apply_diff) to inspect context and apply file changes.

Activation

Invoked via AgentRunner._execute_step() for each step in the plan.

Preferred Model

qwen3-coder:30b (or AGENT_EXECUTOR_MODEL env var) — fast code generation model.

Responsibilities

  1. Read target files before modifying them.
  2. Use the tool loop to gather context (read, list, search) before writing.
  3. Produce changes in the required format:
    FILE: <path>
    ACTION: create|replace|append
    ```text
    <full file content>
    
  4. Respect the Verifier's feedback — do not repeat failed patterns.
  5. Stop after 3 retries per file; return status: "failed" rather than looping.

Constraints

  • Do not write changes without first reading the target file.
  • Do not skip the tool loop — context matters for correctness.
  • Retry limit per file: 3 attempts.
  • Max tool calls per step: 4 (enforced by remaining counter in loop).

Handoff

After each file change is applied, the Implementer hands the result to the Verifier. On success, results flow back to AgentRunner for checkpoint recording. On failure, the step is recorded as status: "failed" with issues list.

Shared State

The Implementer reads from and writes to .claude/state/agent-state.json at the start and end of each step to support resume semantics.

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. 8d ago First seen · 49 lines · 0 tokens per session scan A f42651de2470

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 366 tokens. 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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