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Agent skill

Convex Cost

by openclaw in openclaw/clawhub

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.

MITAuto-check passed

Install Convex Cost

skills CLI
$ npx skills add openclaw/clawhub --skill convex-cost -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openclaw/clawhub convex-cost --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/convex-cost .claude/skills/convex-cost && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
convex-cost
GitHub stars
9.5k
Token cost
~1k tokens
SKILL.md length
557 words
Files
1
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 7 steps: GUARD: deploy-guard — a cost read is… → GATHER the spend evidence via the… → ATTRIBUTE: rank functions by… → …
  • SKILL.md covers Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Convex Cost is an agent skill from openclaw/clawhub. 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.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.

Example prompts

  • “/convex-cost”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. GUARD: deploy-guard — a cost read is read-only over dev/prod (insights is cloud+user-auth only; not previews). Announce the deployment.
  2. GATHER the spend evidence via the official MCP: insights for the bytes-read / documents-read events (the direct cost signal — Convex bills…
  3. ATTRIBUTE: rank functions by bytes/documents read per call × observed (or asked-about) call volume — the product is the cost driver, not…
  4. PROJECT: state how the top drivers scale — a full-table .collect() grows LINEARLY with the table (cost compounds as data accumulates); an…
  5. NAME THE CHEAPEST FIX per driver — index + .withIndex instead of scan, .paginate/.take instead of .collect, an aggregate component for…
  6. CONFIRM-COST for paid actions: if the flow includes anything metered (a domain purchase, cloud provisioning, a plan change), STATE the…
  7. REPORT: the current cost drivers ranked, each with its evidence + growth shape + fix, and a plain bottom line ('your spend is dominated by…

What it can do on your machine

Read from SKILL.md and the folder at commit d044664. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Convex Cost loads about 1k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 557 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openclaw/clawhub at commit d044664, republished under its MIT licence (© openclaw). 557 words, ~1,005 tokens.

Download SKILL.mdSave it as .claude/skills/convex-cost/SKILL.md (or your agent's skills folder).
name
convex-cost
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.
<!-- 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

  1. GUARD: deploy-guard — a cost read is read-only over dev/prod (insights is cloud+user-auth only; not previews). Announce the deployment.
  2. GATHER the spend evidence via the official MCP: insights for the bytes-read / documents-read events (the direct cost signal — Convex bills on function calls + bandwidth), tables for row counts (a table's size bounds its scan cost), functionSpec for the surface. If there's no usage/traffic yet, say so and estimate from the query SHAPES instead (a .collect() on a table projected to grow is a future cost even with zero traffic today).
  3. ATTRIBUTE: rank functions by bytes/documents read per call × observed (or asked-about) call volume — the product is the cost driver, not either alone. A cheap-per-call function called constantly can outweigh an expensive rare one; show both factors.
  4. PROJECT: state how the top drivers scale — a full-table .collect() grows LINEARLY with the table (cost compounds as data accumulates); an indexed .take(n) stays flat. Give the user the shape of the curve ('this is O(table size) per call — fine at 1k rows, a bill at 1M'), not a false-precision dollar figure.
  5. NAME THE CHEAPEST FIX per driver — index + .withIndex instead of scan, .paginate/.take instead of .collect, an aggregate component for counts, caching a hot read — and emit it as a cost-class finding on the bus (evidence: the insight event + the projected growth) pointing at convex-expert/convex-advisor for the actual change.
  6. CONFIRM-COST for paid actions: if the flow includes anything metered (a domain purchase, cloud provisioning, a plan change), STATE the price and recurrence explicitly and get an explicit yes BEFORE proceeding — never let a paid action happen as a side effect (the cost-confirm gate).
  7. REPORT: the current cost drivers ranked, each with its evidence + growth shape + fix, and a plain bottom line ('your spend is dominated by messages:list reading the whole table every call; index it and it drops ~100x'). Honest precision: Convex pricing changes and depends on plan — give relative/shape guidance and cite the pricing page for absolute numbers rather than inventing a dollar total.
Show full SKILL.md (132 more words)Show less

Rules

  • Cost = data-read-per-call × call-volume — always show both factors; a cheap function called constantly can cost more than an expensive rare one.
  • Read the deployment's own insights/bytes-read evidence for spend; with no traffic yet, price the query SHAPES (a scan on a growing table is a future cost).
  • Give the growth CURVE, not false-precision dollars: O(table) scans compound as data accumulates; indexed access stays flat. Cite the pricing page for absolute figures.
  • Every cost driver names its cheapest fix and emits a cost-class finding on the bus pointing at the fixer (convex-expert/advisor).
  • Confirm-cost for any metered/paid action: state the price + recurrence and get an explicit yes BEFORE it happens — never as a side effect.
  • Read-only over dev/prod (deploy-guard); insights is cloud+user-auth only. Cost composes convex-advisor's evidence but frames it as money, not latency.

© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/convex-cost of openclaw/clawhub.

Open the folder on GitHubat commit d044664

Compare with similar skills

Convex Cost next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Convex Cost compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Convex Cost this skillopenclaw/clawhub9.5k—~1kAutomated safety check: PassMIT
Cost Trackingaffaan-m/ECC276k1 repos~1.3kAutomated safety check: PassMIT
Convexdavila7/claude-code-templates32k3 repos~6.4kAutomated safety check: NotesMIT
Cost Summaryruvnet/ruflo74k—~594Automated safety check: NotesMIT
Cost Conversationruvnet/ruflo74k—~407Automated safety check: NotesMIT
Cost Reportruvnet/ruflo74k—~830Automated safety check: NotesMIT

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Questions about Convex Cost

What does Convex Cost do?

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. Convex Cost is an agent skill from openclaw/clawhub. 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.

How do I install Convex Cost in Claude Code?

Run `npx skills add openclaw/clawhub --skill convex-cost -a claude-code`. Or copy the skill folder (.agents/skills/convex-cost in openclaw/clawhub) into .claude/skills/convex-cost in your project. Claude Code loads it when a task matches its description.

How do I install Convex Cost in Codex?

Run `npx skills add openclaw/clawhub --skill convex-cost -a codex`. Or copy the skill folder (.agents/skills/convex-cost in openclaw/clawhub) into .agents/skills/convex-cost in your project. Codex loads it when a task matches its description.

Can I use Convex Cost in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/clawhub --skill convex-cost -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convex-cost, .gemini/skills/convex-cost, .github/skills/convex-cost and .opencode/skills/convex-cost in your project.

What does Convex Cost need to run?

SKILL.md names no scripts, command-line tools or credentials: Convex Cost is instructions for the agent only.

Does Convex Cost access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Convex Cost safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Convex Cost use?

Convex Cost is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Convex Cost use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Convex Cost?

Skills that share tags, products or a category with Convex Cost: Cost Tracking (affaan-m/ECC, 276k stars), Convex (davila7/claude-code-templates, 32k stars), Cost Summary (ruvnet/ruflo, 74k stars) and Cost Conversation (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Convex Cost?

openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,500 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on October 8, 2026.

Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.