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A skill your agent uses when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics.
Install Metrics
$ npx skills add ZimoLiao/scholaraio --skill metrics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZimoLiao/scholaraio metrics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/metrics .claude/skills/metrics && rm -rf skills-srcUse ~/.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/
Install the "metrics" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/metrics into .claude/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/metricsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZimoLiao/scholaraio --skill metrics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZimoLiao/scholaraio metrics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/metrics .agents/skills/metrics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "metrics" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/metrics into .agents/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZimoLiao/scholaraio --skill metrics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZimoLiao/scholaraio metrics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/metrics .cursor/skills/metrics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "metrics" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/metrics into .cursor/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZimoLiao/scholaraio.git --path .claude/skills/metrics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZimoLiao/scholaraio --skill metrics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZimoLiao/scholaraio metrics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/metrics .gemini/skills/metrics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "metrics" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/metrics into .gemini/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZimoLiao/scholaraio metricsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZimoLiao/scholaraio --skill metrics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/metrics .github/skills/metrics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "metrics" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/metrics into .github/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZimoLiao/scholaraio --skill metrics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZimoLiao/scholaraio metrics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/metrics .opencode/skills/metrics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "metrics" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/metrics into .opencode/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
metrics- GitHub stars
- 577
- Token cost
- ~138 tokens
- SKILL.md length
- 26 words
- Files
- 1
- Skills in repo
- 43
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics.
- The user asks about LLM token usage
- SKILL.md covers 执行逻辑 and 示例
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- API call timing
What it does
Metrics is an agent skill from ZimoLiao/scholaraio. Use when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics.
Its SKILL.md is about 140 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Statistics. The repository describes itself as: Scholar All-In-One: A research infrastructure for AI agents. The licence is MIT.
When your agent uses it
- The user asks about LLM token usage
- API call timing
- Runtime metrics
- Performance statistics
Example prompts
- “/metrics”
What it can do on your machine
Read from SKILL.md and the folder at commit 777628b. 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 (its code samples are bash).
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
Metrics loads about 138 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 26 words of instructions outside code blocks.
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 ZimoLiao/scholaraio at commit 777628b, republished under its MIT licence (© ZimoLiao). 26 words, ~138 tokens.
Download SKILL.mdSave it as
.claude/skills/metrics/SKILL.md (or your agent's skills folder).- name
- metrics
- description
- Use when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics.
查看指标统计
查看 LLM token 用量、API 调用耗时等运行指标。
执行逻辑
查看最近 LLM 调用详情：
scholaraio metrics --last 20查看汇总统计：
scholaraio metrics --summary查看特定时间段：
scholaraio metrics --since 2026-03-01查看其他类别事件：
scholaraio metrics --category api --last 50示例
用户说："我用了多少 token"
→ 执行 metrics --summary
用户说："看看最近的 LLM 调用"
→ 执行 metrics --last 10
© ZimoLiao, 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 .claude/skills/metrics of ZimoLiao/scholaraio.
Open the folder on GitHubat commit 777628b
Compare with similar skills
Metrics 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Metrics this skillZimoLiao/scholaraio | 577 | — | ~138 | Automated safety check: Pass | MIT | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT |
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Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.
Statsmodels
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
AI Daily Digest
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Real-time agent conversation monitoring - monitors Higress access logs, aggregates conversations by session, tracks token usage.
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Categories
Questions about Metrics
What does Metrics do?
A skill your agent uses when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics. Metrics is an agent skill from ZimoLiao/scholaraio. Use when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics.
When should I use Metrics?
Metrics fits situations like: the user asks about LLM token usage; API call timing; runtime metrics; performance statistics.
How do I install Metrics in Claude Code?
Run `npx skills add ZimoLiao/scholaraio --skill metrics -a claude-code`. Or copy the skill folder (.claude/skills/metrics in ZimoLiao/scholaraio) into .claude/skills/metrics in your project. Claude Code loads it when a task matches its description.
How do I install Metrics in Codex?
Run `npx skills add ZimoLiao/scholaraio --skill metrics -a codex`. Or copy the skill folder (.claude/skills/metrics in ZimoLiao/scholaraio) into .agents/skills/metrics in your project. Codex loads it when a task matches its description.
Can I use Metrics 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 ZimoLiao/scholaraio --skill metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metrics, .gemini/skills/metrics, .github/skills/metrics and .opencode/skills/metrics in your project.
What does Metrics need to run?
SKILL.md names no scripts, command-line tools or credentials: Metrics is instructions for the agent only.
Does Metrics 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 Metrics 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 Metrics use?
Metrics 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 Metrics use?
About 138 tokens (SKILL.md is roughly 552 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 Metrics?
Skills that share tags, products or a category with Metrics: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Metrics?
ZimoLiao (a GitHub user) maintains it in ZimoLiao/scholaraio, which has 577 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on September 25, 2026.
Source: ZimoLiao/scholaraio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.