vexa AGENTS.md

vexa AGENTS.md is an instructions file for Codex, OpenCode from Vexa-ai/vexa. It costs 3,110 tokens per session, scanned A, original, Apache-2.0.

The main working agreement for coding agents contributing to Vexa, including how to research the project, claim work, and behave during a coding session. It also points to the project's architecture and delivery rules.

In plain words
What is it for?
Finding project work through GitHub, reporting bugs, claiming contributions, following architecture and delivery rules, and working through the repository's contribution process.
Why use it?
It turns discoveries and planned work into a defined process, so agents know how issues enter the workflow and how changes are validated and shipped.

Instructions file for CodexOpenCode

About the project

Vexa is an open-source meeting transcription system whose bots join Google Meet, Microsoft Teams, and Zoom calls and stream speaker-labeled transcripts through an API. It is for teams that want meeting transcription and downstream knowledge processing either through hosted services or by running the stack themselves. The catalogue entries provide agents and instructions for working with Vexa.

Vexa-ai/vexa · 2,737 stars · on GitHub

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/vexa-ai/vexa/agents-md
Clone the repo
git clone --depth 1 https://github.com/Vexa-ai/vexa

Made for: Codex, OpenCode.

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 vexa AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vexa-ai/vexa/agents-md.svg)](https://agentmods.dev/instructions/vexa-ai/vexa/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/vexa-ai/vexa/agents-md"><img src="https://agentmods.dev/badge/instructions/vexa-ai/vexa/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,110 This file is loaded in full into every session.
When invoked 3,110 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 $0.03110 $0.03110
Opus 5 $0.01555 $0.01555
Sonnet 5 $0.00622 $0.00622
Haiku 4.5 $0.00311 $0.00311

Measured 5d ago against content hash f15ef4c7cca2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vexa AGENTS.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 5d 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.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — the agent front door (in-repo)

Two constitutions govern everything here — read them on the docs site or in this tree:

This file is the actor contract: intake, claim, and how a session behaves in the checkout.

Researching Vexa? Start here

  • Found something (bug, gap, docs lie)? File a GitHub issue — every report enters state: incoming and waits for triage — three days is our target and we are not hitting it (measured 2026-08-20: 26 waiting, median 13 days). Findings are contributions.
  • Want to contribute? The whole roadmap comes back in one public GraphQL call:
gh api graphql -f query='
query { organization(login: "Vexa-ai") { projectV2(number: 2) {
  items(first: 100) { nodes {
    content {
      ... on Issue { number title url state milestone { title } labels(first: 10) { nodes { name } } }
      ... on DraftIssue { title body }
    }
    fieldValues(first: 20) { nodes {
      ... on ProjectV2ItemFieldSingleSelectValue {
        field { ... on ProjectV2SingleSelectField { name } } name }
    } }
  } }
} } }'

Four axes per item: Lane — the business value, named by who feels it (Google Meet · MS Teams · Zoom · API integrators · Transcription · Recordings · Webhooks & billing · First run · Production ops · Feature shelf) — match it to what your contributor actually uses. Human bar — what validation costs in human terms (Desk check · Operator run · Solo meeting · Small group · Crowd 5+ · In-the-loop UX). Setup — the infrastructure floor (None · Lite · Compose · k8s/helm). Milestone — the version it gates (currently v0.12.x).

Read the full file on GitHub · 193 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. 5d ago First seen · 193 lines · 3,110 tokens per session scan A f15ef4c7cca2

Subscribe to this mod's changes

vexa AGENTS.md is an instructions file published in the GitHub repository Vexa-ai/vexa (2,737 stars, last pushed 2d ago), licensed Apache-2.0. It adds 3,110 tokens to every session, about $0.0155 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.