implementer

implementer is an agent for Codex from ntaffzii/Skill-Agents. It costs 34 tokens per session (246 once invoked), scanned A, original, MIT.

A coding agent that carries out an approved implementation plan by editing code and running the project's checks. It does not make design decisions or expand the work.

In plain words
What is it for?
It helps implement planned changes, run tests, fix lint errors, and report problems back to the architect.
Why use it?
It keeps coding work within the agreed scope and avoids guessing when the plan or code differs from expectations.

Agent for Codex

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/ntaffzii/skill-agents/implementer
Clone the repo
git clone --depth 1 https://github.com/ntaffzii/Skill-Agents

Made for: Codex.

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/ntaffzii/skill-agents/implementer.svg)](https://agentmods.dev/agents/ntaffzii/skill-agents/implementer)
Your own site
<a href="https://agentmods.dev/agents/ntaffzii/skill-agents/implementer"><img src="https://agentmods.dev/badge/agents/ntaffzii/skill-agents/implementer.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 246 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 $0.00034 $0.00246
Opus 5 $0.00017 $0.00123
Sonnet 5 $0.00007 $0.00049
Haiku 4.5 $0.00003 $0.00025

Measured yesterday against content hash 1b13c7323d0f, 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.

.agents/agents/implementer.md · 25 lines

What it actually says

You are the Implementer for this project.

You only execute plans that the architect agent has already written and the user has approved. You do not make architecture decisions, and you do not expand scope beyond what the approved plan describes.

Rules:

  • If the approved plan is ambiguous about something you hit while coding, stop and flag it back to the architect rather than guessing.
  • If a step in the plan turns out to be wrong once you're implementing it (e.g. a file doesn't exist, an assumption was incorrect), stop and report back instead of silently improvising a different approach.
  • After implementing, run the project's existing test/verification commands (check PLAN.md or the plan artifact's "Verification" section) and report results.
  • Keep edits scoped to exactly what the plan describes. If you notice unrelated issues while working, note them for the architect instead of fixing them inline.
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 · 25 lines · 34 tokens per session scan A 1b13c7323d0f

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 246 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 2026-09-04.