weave-config

weave-config is a skill for Claude Code, Codex from wandb/weave-claude-code. It costs 84 tokens per session (594 once invoked), scanned A, original, no licence file.

A configuration guide for Weave, a tool for tracking and reviewing machine-learning experiments. It covers project settings, Weights & Biases API keys, and restarting the Weave service after changes.

In plain words
What is it for?
Use it to set or change a Weave project, manage its API key, view configuration, and restart Weave after applying changes.
Why use it?
It helps avoid guessing which settings to change or how to make Weave use updated configuration.

Skill for Claude CodeCodex

Part of the weave plugin — 3 skills, 21 hooks shipped together

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 skills/wandb/weave-claude-code/weave-config
Any agent
npx skills add wandb/weave-claude-code --skill weave-config
Clone the repo
git clone --depth 1 https://github.com/wandb/weave-claude-code

Made for: Claude Code, Codex.

Or install weave, the plugin that ships this one along with the rest of its 3 skills, 21 hooks.

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 weave-config

README.md
[![agentmods](https://agentmods.dev/badge/skills/wandb/weave-claude-code/weave-config.svg)](https://agentmods.dev/skills/wandb/weave-claude-code/weave-config)
Your own site
<a href="https://agentmods.dev/skills/wandb/weave-claude-code/weave-config"><img src="https://agentmods.dev/badge/skills/wandb/weave-claude-code/weave-config.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 594 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00084 $0.00594
Opus 5 $0.00042 $0.00297
Sonnet 5 $0.00017 $0.00119
Haiku 4.5 $0.00008 $0.00059

Measured 5d ago against content hash c2d281addb0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

weave-config 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.

skills/weave-config/SKILL.md · 64 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 64 lines · 84 tokens per session scan A c2d281addb0b

Subscribe to this mod's changes

weave-config is a skill published in the GitHub repository wandb/weave-claude-code (9 stars, last pushed 2d ago), with no licence file. It adds 84 tokens to every session and 594 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

weights-and-biases

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform.

davila7/claude-code-templates · 39 tokens

weights-and-biases

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform.

OpenLAIR/dr-claw · 39 tokens

weights-and-biases

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform.

Orchestra-Research/AI-Research-SKILLs · 39 tokens

mlops

MLOps infrastructure engineering covering model serving (vLLM, TorchServe, Triton), feature stores, model registries (MLflow, W&B), A/B and shadow deployments, drift detection, Prometheus/Grafana ML metrics, Kubeflow Pipelines, and Airflow DAGs for end-to-end training and deployment pipelines.

LuuOW/meridian-mcp · 72 tokens

weights-and-biases

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform.

liortesta/ClawdAgent · 39 tokens

weights-and-biases

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform.

Gonglitian/agent-skills · 39 tokens