Agent skill

Benchmark Tests

by LiteyukiStudio in LiteyukiStudio/LiteyukiBot

Maintain LiteyukiBot v7 performance benchmarks and their deterministic tests.

Custom licenceAuto-check passed

Install Benchmark Tests

skills CLI
$ npx skills add LiteyukiStudio/LiteyukiBot --skill benchmark-tests -a claude-code

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

GitHub CLI
$ gh skill install LiteyukiStudio/LiteyukiBot benchmark-tests --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/LiteyukiStudio/LiteyukiBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/benchmark-tests .claude/skills/benchmark-tests && 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
benchmark-tests
GitHub stars
157
Token cost
~449 tokens
SKILL.md length
184 words
Files
2
Skills in repo
3
Repo updated
First seen
Licence
Custom licence

At a glance

Maintain LiteyukiBot v7 performance benchmarks and their deterministic tests.

  • Works in 5 steps: Read scripts/benchmark_v7.py,… → Preserve schema 2: the parent process… → Keep the fixed event matrix: independent… → …
  • Benchmark changes
  • SKILL.md covers Workflow and Review Rules
  • Calls uv

What it does

Benchmark Tests is an agent skill from LiteyukiStudio/LiteyukiBot. Maintain LiteyukiBot v7 performance benchmarks and their deterministic tests. Use for benchmark changes, performance-path changes, CI baseline artifacts, workload design, or benchmark regression review in this repository.

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: 一个综合,All in One,轻量的机器人应用程式.

When your agent uses it

  • Benchmark changes
  • Performance-path changes
  • CI baseline artifacts
  • Workload design

Example prompts

  • “/benchmark-tests”

Requirements

  • Python 3

Workflow steps

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

  1. Read scripts/benchmark_v7.py, tests/test_benchmark_v7.py, and
  2. Preserve schema 2: the parent process launches independent --sample child
  3. Keep the fixed event matrix: independent conversations at submission
  4. Add deterministic tests for workload behavior, result schema, child-process
  5. Run uv run pytest tests/test_benchmark_v7.py, then the repository quality

What it can do on your machine

Read from SKILL.md and the folder at commit 2ccd25a. 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

    Shell commands in SKILL.md call:

    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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

Benchmark Tests loads about 449 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~449

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 184 words (~449 tokens).

name
benchmark-tests

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .agents/skills/benchmark-tests of LiteyukiStudio/LiteyukiBot.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 2ccd25a

Compare with similar skills

Benchmark Tests 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.

Benchmark Tests compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Benchmark Tests this skillLiteyukiStudio/LiteyukiBot157—~449Automated safety check: PassCustom licence
Benchmarkaffaan-m/ECC276k3 repos~654Automated safety check: PassMIT
Benchmarkaffaan-m/ECC276k—~412Automated safety check: PassMIT
Benchmarkaffaan-m/ECC276k—~330Automated safety check: PassMIT
Wiki Maintaineropenclaw/openclaw392k1 repos~462Automated safety check: PassMIT
Benchmarkandroidx/androidx6.1k—~1.1kAutomated safety check: PassApache-2.0

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Questions about Benchmark Tests

What does Benchmark Tests do?

Maintain LiteyukiBot v7 performance benchmarks and their deterministic tests. Benchmark Tests is an agent skill from LiteyukiStudio/LiteyukiBot. Maintain LiteyukiBot v7 performance benchmarks and their deterministic tests.

When should I use Benchmark Tests?

Benchmark Tests fits situations like: benchmark changes; performance-path changes; CI baseline artifacts; workload design.

How do I install Benchmark Tests in Claude Code?

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

How do I install Benchmark Tests in Codex?

Run `npx skills add LiteyukiStudio/LiteyukiBot --skill benchmark-tests -a codex`. Or copy the skill folder (.agents/skills/benchmark-tests in LiteyukiStudio/LiteyukiBot) into .agents/skills/benchmark-tests in your project. Codex loads it when a task matches its description.

Can I use Benchmark Tests 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 LiteyukiStudio/LiteyukiBot --skill benchmark-tests -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/benchmark-tests, .gemini/skills/benchmark-tests, .github/skills/benchmark-tests and .opencode/skills/benchmark-tests in your project.

What does Benchmark Tests need to run?

Going by SKILL.md and its folder, Benchmark Tests needs the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Benchmark Tests access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Benchmark Tests 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 Benchmark Tests use?

Benchmark Tests has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Benchmark Tests use?

About 449 tokens (SKILL.md is roughly 1.8k 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 Benchmark Tests?

Skills that share tags, products or a category with Benchmark Tests: Benchmark (affaan-m/ECC, 276k stars), Benchmark (affaan-m/ECC, 276k stars), Benchmark (affaan-m/ECC, 276k stars) and Wiki Maintainer (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Benchmark Tests?

LiteyukiStudio (a GitHub organization) maintains it in LiteyukiStudio/LiteyukiBot, which has 157 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 2, 2026.

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