# Convex Cost

Preview Convex spend, rank functions by bytes/documents-read × call-volume from...

- Repository: https://github.com/openclaw/clawhub (9543 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add openclaw/clawhub --skill convex-cost -g -a claude-code -y`
Codex: `npx skills add openclaw/clawhub --skill convex-cost -g -a codex -y`
Cursor: `npx skills add openclaw/clawhub --skill convex-cost -g -a cursor -y`
Gemini CLI: `npx skills add openclaw/clawhub --skill convex-cost -g -a gemini-cli -y`

## Description

Preview Convex spend, rank functions by bytes/documents-read × call-volume from insights, project each cost driver's growth curve, name the cheapest fix; confirm-cost for paid actions.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

<!-- GENERATED from convex-agents content/capabilities/convex-cost.json, do not edit by hand. -->

# Preview what this app will cost

Cost surprises come from a handful of functions reading far more data than anyone realized, the same read-heavy patterns convex-advisor flags for perf, seen through the money lens. This capability makes spend legible: it reads the deployment's own bytes/documents-read evidence, attributes it to the functions driving it, projects how it grows with traffic, and names the cheapest fix. It also carries the confirm-cost discipline (Supabase's structural consent for paid actions): before anything metered, state the price and get an explicit yes.

## Workflow

The rest: https://github.com/openclaw/clawhub/blob/HEAD/.agents/skills/convex-cost/SKILL.md