gm-brilliant-implementation

gm-brilliant-implementation is a command for coding agents from notque/vexjoy-agent. It costs 30 tokens per session (252 once invoked), scanned A, original, MIT.

A 34-stage workflow for implementing large features that span multiple systems or waves of work. It is intended for substantial programs rather than small isolated fixes.

In plain words
What is it for?
Use it to run a large, multi-system implementation through its prescribed workflow.
Why use it?
It provides a defined route for coordinating complex implementation work across multiple parts of a project. Small fixes avoid the overhead of this workflow.

Command

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/notque/vexjoy-agent/gm-brilliant-implementation
Clone the repo
git clone --depth 1 https://github.com/notque/vexjoy-agent

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 gm-brilliant-implementation

README.md
[![agentmods](https://agentmods.dev/badge/commands/notque/vexjoy-agent/gm-brilliant-implementation.svg)](https://agentmods.dev/commands/notque/vexjoy-agent/gm-brilliant-implementation)
Your own site
<a href="https://agentmods.dev/commands/notque/vexjoy-agent/gm-brilliant-implementation"><img src="https://agentmods.dev/badge/commands/notque/vexjoy-agent/gm-brilliant-implementation.svg" alt="Measured on agentmods" height="20"></a>
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 252 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 5.1 $0.00030 $0.00252
Opus 5 $0.00015 $0.00126
Sonnet 5 $0.00006 $0.00050
Haiku 4.5 $0.00003 $0.00025

Measured 6d ago against content hash ddd1d8ac5945, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

gm-brilliant-implementation 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 6d 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.

commands/gm-brilliant-implementation.md · 37 lines

What it actually says

gm-brilliant-implementation

Invoke through /do:

/do run gm-brilliant-implementation for a multi-system GM feature

The route uses project-coordinator-engineer to execute the first-class gm-brilliant-implementation skill and pipeline. It presents seven canonical operator phases while executing 34 validated runtime stages.

Small isolated fixes do not use this command. Route them through quick, the target project-context skill, or the focused test/review skill.

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. 6d ago First seen · 37 lines · 30 tokens per session scan A ddd1d8ac5945

Subscribe to this mod's changes

gm-brilliant-implementation is a command published in the GitHub repository notque/vexjoy-agent (420 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 252 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 2026-08-30.