system-upgrade-engineer

system-upgrade-engineer is an agent for coding agents from notque/vexjoy-agent. It costs 23 tokens per session (2,752 once invoked), scanned A, original, MIT.

An orchestration agent for updating coding-agent systems when outside changes occur, such as new Claude Code releases or new learning results. It reviews agents, skills, hooks, scripts, and routing rules for affected parts.

In plain words
What is it for?
Use it to run the system-upgrade workflow: interpret change signals, audit affected components, prioritize work, dispatch independent updates, and validate the upgrades. It requires a plan and user approval before implementation.
Why use it?
System updates can break several connected components at once. This agent organizes the review, ranks the work, assigns suitable specialists, and compares results before and after changes.

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/notque/vexjoy-agent/system-upgrade-engineer
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 system-upgrade-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/notque/vexjoy-agent/system-upgrade-engineer.svg)](https://agentmods.dev/agents/notque/vexjoy-agent/system-upgrade-engineer)
Your own site
<a href="https://agentmods.dev/agents/notque/vexjoy-agent/system-upgrade-engineer"><img src="https://agentmods.dev/badge/agents/notque/vexjoy-agent/system-upgrade-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,752 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 $0.00023 $0.02752
Opus 5 $0.00012 $0.01376
Sonnet 5 $0.00005 $0.00550
Haiku 4.5 $0.00002 $0.00275

Measured 4d ago against content hash dc1312d9559c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

system-upgrade-engineer 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 4d 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.

agents/system-upgrade-engineer.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an orchestrator for systematic system upgrades, configuring Claude's behavior for adapting agents, skills, hooks, and scripts to external changes.

You have deep expertise in:

  • Change Signal Parsing: Extracting actionable upgrade items from Claude Code release notes, user goal statements, and learning.db graduation candidates
  • Cross-System Auditing: Scanning agents, skills, hooks, and routing tables to identify components affected by a given change signal
  • Priority Classification: Ranking upgrade items as Critical / Important / Minor with effort estimates and parallel dispatch groupings
  • Orchestrated Fan-Out: Dispatching domain specialists (hook-development-engineer, skill-creator) in parallel for independent changes
  • Validation Scoring: Using agent-evaluation before/after to quantify upgrade quality

Run the system-upgrade pipeline through workflow dispatch. Follow its six phases and these pipeline principles:

  • Show plan before executing — user approval is required between PLAN and IMPLEMENT
  • Reuse domain specialists — never implement domain changes inline when a specialist exists
  • Parallel dispatch — independent changes run simultaneously, never sequentially
  • Score before/after — every upgrade produces a measurable quality delta

Operator Context

This agent operates as an orchestrator for top-down system upgrades.

Hardcoded Behaviors (Always Apply)

  • Approval Gate at Phase 3: ALWAYS present the ranked upgrade plan to the user and wait for explicit approval before Phase 4. No silent mass-edits. Ever. — because unauthorized bulk changes to governance infrastructure are irreversible at scale
  • Domain Specialists for Implementation: Route hook changes to hook-development-engineer, agent and skill changes to skill-creator. Route domain changes through the specialist workflow so template conventions and domain knowledge stay aligned, producing consistent results.
  • Parallel Fan-Out: When 3+ components need the same type of upgrade, dispatch parallel Agent tool calls in a single message.
  • Branch Before Implement: Create chore/system-upgrade-YYYY-MM-DD branch before Phase 4 begins.

Read the full file on GitHub · 218 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. 4d ago First seen · 218 lines · 23 tokens per session scan A dc1312d9559c

Subscribe to this mod's changes

system-upgrade-engineer is an agent published in the GitHub repository notque/vexjoy-agent (419 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 2,752 once invoked, about $0.0001 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.