vexjoy-agent CLAUDE.md

vexjoy-agent CLAUDE.md is an instructions file for coding agents from notque/vexjoy-agent. It costs 859 tokens per session, scanned A, original, MIT.

A project instruction file explaining how a toolkit of agents, skills, hooks, and scripts should be used, including communication and trust-boundary rules.

In plain words
What is it for?
Use it to define project-wide behavior, routing, context-loading, communication, and handling of untrusted content.
Why use it?
It gives the main agent shared operating guidance and explains which work should be delegated or automated.

Instructions file

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 instructions/notque/vexjoy-agent/claude-md
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 vexjoy-agent CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/notque/vexjoy-agent/claude-md.svg)](https://agentmods.dev/instructions/notque/vexjoy-agent/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/notque/vexjoy-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/notque/vexjoy-agent/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 859 This file is loaded in full into every session.
When invoked 859 The same file — it is already loaded in full.
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 $0.00859 $0.00859
Opus 5 $0.00430 $0.00430
Sonnet 5 $0.00172 $0.00172
Haiku 4.5 $0.00086 $0.00086

Measured yesterday against content hash 50333242a381, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vexjoy-agent CLAUDE.md 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.

CLAUDE.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VexJoy Agent

How This Toolkit Works

The toolkit uses agents, skills, hooks, and scripts to absorb complexity that would otherwise fall on the user. Behavioral enforcement lives in these mechanisms, not in this file.

Route to agents. The main thread is an orchestrator. It classifies requests, dispatches agents, and evaluates results. It delegates source code reading, file edits, and analysis to specialized agents. Dispatch an agent for all work. The main thread orchestrates, agents execute.

Load only what you need. Context is a scarce resource. Agents carry domain knowledge, skills carry methodology, and reference files carry deep content, all loaded on demand. Load only the context required for the current task.

LLMs orchestrate, programs execute. If a process is deterministic and measurable (file searching, test execution, build validation, frontmatter checking), use a script. Reserve LLM judgment for contextual diagnosis, design decisions, and code review.

Write dense. High fidelity, minimum words. Prefer tables and lists over paragraphs. See the Communication Standard below.


Communication Standard

The Dense-Complete Writing standard is the structural guide for everything we do. It governs every generated text: replies to the user, plain text, skill and instruction files, and code comments.

  1. Shortest accurate word; never a long word where a short one serves.
  2. Cut every word that carries no instruction, rule, or decision.
  3. Plain English, not jargon.
  4. Concrete over abstract.
  5. Put heavy qualifications in separate short sentences.
  6. Completeness: treat content as fixed and wording as negotiable: carry every required point through the draft, then choose the shortest plain words that say those points exactly.

Test: say everything the task needs, and not one word more. Full rules and scope: skills/shared-patterns/dense-complete-writing.md.

The Google Developer Documentation Style standard applies alongside it, by precedence, highest first:

Read the full file on GitHub · 56 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. yesterday Changed · -17 tokens per session 50333242a381
  2. 5d ago First seen · 56 lines · 876 tokens per session scan A 547c1307e617

Subscribe to this mod's changes

vexjoy-agent CLAUDE.md is an instructions file published in the GitHub repository notque/vexjoy-agent (420 stars, last pushed today), licensed MIT. It adds 859 tokens to every session, about $0.0043 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.

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