Model Usage
CheckedUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Install on your platform
Showing OpenClaw.
- 1
Run this in your terminal
terminal$ openclaw skills install model-usage
What we know about this skill
Publisher
openclaw
Taken from the source listing. We haven't verified who controls this account.
Install target
Pinned to 7b5e64ef
Installs fetch a stored snapshot of that commit, so the code can't change after the fact.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned openclaw/openclaw at f12a8dee23.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f12a8dee23
- Manifest
- skills/model-usage/SKILL.md
- Scanned
- 4 files, 590 lines
About this skill
What it does
OpenClaw is a personal AI assistant designed to be run locally on user devices. It provides responses across various messaging platforms like WhatsApp, Telegram, and Slack, and offers voice interaction capabilities on macOS/iOS/Android. A key feature includes the ability to render a live, controllable Canvas interface for visual interaction.
When to use it
- Personal Productivity: Use OpenClaw as an always-on assistant to manage tasks, set reminders, or quickly access information without relying on cloud services.
- Cross-Platform Communication: Receive and respond to messages across multiple platforms (WhatsApp, Telegram, Slack, Discord) from a single interface.
- Local Data Privacy: Benefit from having your AI interactions processed locally, enhancing privacy and reducing reliance on external servers.
- Customizable Interface: Utilize the Canvas feature for creating custom visual workflows or dashboards within the assistant environment.
Key capabilities
- Cross-platform messaging support (WhatsApp, Telegram, Slack, Discord, etc.)
- Voice interaction on macOS/iOS/Android devices
- Local execution for enhanced privacy
- Live, controllable Canvas interface
- Personalized AI assistance
Example prompts
- "OpenClaw, remind me to call John at 2 PM."
- "Show me the latest news headlines on my Canvas."
- "Send a message to the team in Slack saying 'Meeting is postponed.'"
- “What’s the weather like today?”
Tips & gotchas
- The preferred setup method involves running
openclaw onboardin your terminal, which guides you through initial configuration. - OpenClaw's functionality relies on local processing; performance may be affected by device resources.