What is agent-skills AGENTS.md?

Setup instructions for Weaviate Agent Skills, which connect an AI agent to Weaviate Cloud, a hosted database for storing and searching data. They cover the required cloud address, access key, optional AI-provider keys, and Python 3.11 or newer.

Use them to create a Weaviate Cloud instance, configure environment variables, check whether required values are set, and prepare the Python runtime.

They identify the accounts, environment settings, and Python version needed before the related scripts can run. This avoids setup failures caused by missing connection details or provider credentials.

How weaviate/agent-skills configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to weaviate/agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/weaviate/agent-skills/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/weaviate/agent-skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/weaviate/agent-skills/agents-md/github.svg)](https://agentmods.dev/instructions/weaviate/agent-skills/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/weaviate/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/weaviate/agent-skills/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/weaviate/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/weaviate/agent-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,934 This file is loaded in full into every session.

When invoked 1,934 The same file — it is already loaded in full.

Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01934	$0.01934
Opus 5.5	$0.00774	$0.00774
Sonnet 5.5	$0.00387	$0.00387
Haiku 4.5	$0.00193	$0.00193

Measured 18d ago against content hash 6f51b7eef392, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

agent-skills AGENTS.md scanned grade C with 2 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 18d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -LsSf https://astral.sh/uv/install.sh | sh

Makes network callslowCapability

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

curl -LsSf https://astral.sh/uv/install.sh | sh

AGENTS.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weaviate Agent Skills - Setup Instructions

This document provides setup instructions for AI agents using the Weaviate skill and plugin.

Prerequisites

1. Weaviate Cloud Instance

If the user does not have an instance yet, direct them to the cloud console to register and create a free sandbox. Create a Weaviate instance via Weaviate Cloud.

2. Environment Variables

Required:

WEAVIATE_URL="https://your-cluster.weaviate.cloud"
WEAVIATE_API_KEY="your-api-key"

External Provider Keys (auto-detected):

Set only the keys your collections use:

OPENAI_API_KEY
COHERE_API_KEY
HUGGINGFACE_API_KEY
JINAAI_API_KEY
VOYAGE_API_KEY
MISTRAL_API_KEY
NVIDIA_API_KEY
VERTEX_API_KEY
STUDIO_API_KEY
AZURE_API_KEY
ANTHROPIC_API_KEY
ANYSCALE_API_KEY
DATABRICKS_TOKEN
FRIENDLI_TOKEN
XAI_API_KEY
AWS_ACCESS_KEY
AWS_SECRET_KEY

Check if variables are set:

[ -z "$WEAVIATE_URL" ] && echo "WEAVIATE_URL is NOT set" || echo "WEAVIATE_URL is set"
[ -z "$WEAVIATE_API_KEY" ] && echo "WEAVIATE_API_KEY is NOT set" || echo "WEAVIATE_API_KEY is set"

3. Python Runtime

All scripts require Python 3.11+.

python3 --version

4. uv Package Manager (Recommended)

Scripts use uv for dependency management.

Check if uv is installed:

uv --version

Install uv if needed:

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Or with pip
pip install uv

# Or with Homebrew
brew install uv

Project Structure

Skill	Path	Description
weaviate	`skills/weaviate/`	Scripts and references for searching, querying, and managing Weaviate collections
weaviate-cookbooks	`skills/weaviate-cookbooks/`	Implementation guides for building full-stack AI applications with Weaviate
engram_memory	`skills/engram_memory/`	Reference for adding persistent long-term memory with Engram (separate `weaviate-engram` SDK)

Read the full file on GitHub · 167 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.

18d ago Changed · +55 tokens per session 6f51b7eef392
1mo ago Changed · +9 lines · +221 tokens per session 1b97965d030e
1mo ago Changed 59b30973b471
2mo ago First seen · 158 lines · 1,658 tokens per session scan C 70732fe5ab89

Subscribe to this mod's changes

agent-skills AGENTS.md is an instructions file published in the GitHub repository weaviate/agent-skills (104 stars, last pushed 3d ago), licensed BSD-3-Clause. It adds 1,934 tokens to every session, about $0.0077 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

agent-skills AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agent-skills AGENTS.mdweaviate/agent-skills	Instructions file	104	3d ago	BSD-3-Clause	C	1,934	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	2,022	GitHub Copilot

agent-skills: Instructions file for Codex