Model usage costs per model from CodexBar local logs (short listing)

Prerequisites: the CodexBar CLI installed (third-party, macOS/Linux for live reads) — the skill is a workflow the agent follows, not software to install Install "Model usage costs per model from CodexBar local logs" for me. It gives my agent @openclaw's workflow for summarizing CodexBar local cost logs by model (Codex or Claude): fetch cost JSON via the CodexBar CLI or from an exported file, then run the bundled scripts/model_usage.py summarizer in current-model or all-models mode, text or JSON output. IMPORTANT: the repo states no license — fetch from the link only, and reproduce nothing beyond the link. Repository: https://github.com/openclaw/openclaw/blob/main/skills/model-usage/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). Review the files for suspicious commands or credential handling; stop on any red flag and never assume the repository is safe. Tell me if anything looks off. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "model-usage". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install the CodexBar CLI if not present — the skill's references/codexbar-cli.md covers the flags). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.