prp-implement

prp-implement is a command for Claude Code from DekaPrayoga/AurixAgent. It costs 8 tokens per session (2,369 once invoked), scanned A, original, no licence file.

A command that carries out an implementation plan and repeatedly checks the results. The input does not specify which validation checks it performs.

In plain words
What is it for?
Use it to execute a feature implementation plan and validate the changes as it proceeds.
Why use it?
It helps apply a prepared plan while including repeated validation during the work.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

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 commands/dekaprayoga/aurixagent/prp-implement
Clone the repo
git clone --depth 1 https://github.com/DekaPrayoga/AurixAgent

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 prp-implement

README.md
[![agentmods](https://agentmods.dev/badge/commands/dekaprayoga/aurixagent/prp-implement.svg)](https://agentmods.dev/commands/dekaprayoga/aurixagent/prp-implement)
Your own site
<a href="https://agentmods.dev/commands/dekaprayoga/aurixagent/prp-implement"><img src="https://agentmods.dev/badge/commands/dekaprayoga/aurixagent/prp-implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,369 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00008 $0.02369
Opus 5 $0.00004 $0.01184
Sonnet 5 $0.00002 $0.00474
Haiku 4.5 $0.00001 $0.00237

Measured 2d ago against content hash c7b2715c7068, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

prp-implement scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

if curl -sf http://localhost:PORT/health >/dev/null 2>&1; then
commands/prp-implement.md · 386 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. 2d ago First seen · 386 lines · 8 tokens per session scan A c7b2715c7068

Subscribe to this mod's changes

prp-implement is a command published in the GitHub repository DekaPrayoga/AurixAgent (63 stars, last pushed 1mo ago), with no licence file. It adds 8 tokens to every session and 2,369 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.