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opencode-model-benchmark
作者
BraveHeartZJH
· GitHub ↗
· v1.0.0
· MIT-0
108
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install opencode-model-benchmark
功能描述
OpenCode Zen 免费模型基准测试工具。 当用户想测试 OpenCode Zen 平台上免费模型的性能（响应时间、tokens/s、生成速度）时使用此 Skill。 触发词：模型测试、性能测试、基准测试、benchmark、测速、tokens/s、吞吐量、opencode 测试、免费模型速度比较。 该 S...
安全使用建议
This skill appears coherent and low-risk: it only makes HTTP requests to opencode.ai (the docs page and the zen API) and prints a Markdown report to stdout. Before installing, confirm you are comfortable with outbound network calls to https://opencode.ai and that running the script from your agent is acceptable. No API keys or local secrets are requested. If you operate in a restricted environment, consider running the script in a controlled session or sandbox and review network logs to verify calls go only to the expected opencode.ai endpoints.
功能分析
Type: OpenClaw Skill
Name: opencode-model-benchmark
Version: 1.0.0
The skill is a legitimate benchmarking tool designed to test the performance of free AI models on the OpenCode Zen platform. The script `scripts/benchmark.py` uses standard Python libraries to fetch model lists from official documentation and perform latency/throughput tests via HTTP POST requests to `opencode.ai`. There is no evidence of data exfiltration, unauthorized file access, or malicious command execution.
能力标签
能力评估
Purpose & Capability
Name/description, SKILL.md, and the script all focus on fetching a model list from opencode.ai/docs and calling the opencode.ai/zen/v1 API to measure response time and tokens/s. The required actions (HTTP requests to the docs and to the API endpoints) are appropriate for this purpose.
Instruction Scope
SKILL.md directs running the included script which: fetches the official docs, iterates known models, calls either /chat/completions or /responses, and prints a Markdown report to stdout. The script does not read local secret files, does not exfiltrate data to unexpected endpoints, and does not write files (report is printed).
Install Mechanism
No install spec is provided and the skill is instruction+script only. The python script uses standard library modules (urllib, json, time) and does not download or extract additional code at install time.
Credentials
The skill requires no environment variables, keys, or special config paths. The script runs without credentials and only makes outbound HTTP requests to opencode.ai as described in the docs.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills or system configuration. It executes ad-hoc when invoked and does not enable privileged behavior.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install opencode-model-benchmark - 安装完成后，直接呼叫该 Skill 的名称或使用
/opencode-model-benchmark触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
OpenCode Zen 免费模型基准测试工具初始版本发布：
- 新增自动化脚本，用于基准测试 OpenCode Zen 平台上所有免费模型的性能（响应时间、tokens/s、吞吐量等）
- 自动抓取并测试最新免费模型清单，支持智能过滤已下架模型
- 生成结构化 Markdown 测试报告，按 tokens/s 对模型性能排名，报告直接输出到对话窗口
- 无需 API Key，使用官方公开 API，测试过程完全自动化
- 提供标准测试用例和可配置的参数
元数据
常见问题
opencode-model-benchmark 是什么？
OpenCode Zen 免费模型基准测试工具。 当用户想测试 OpenCode Zen 平台上免费模型的性能（响应时间、tokens/s、生成速度）时使用此 Skill。 触发词：模型测试、性能测试、基准测试、benchmark、测速、tokens/s、吞吐量、opencode 测试、免费模型速度比较。 该 S... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 108 次。
如何安装 opencode-model-benchmark？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install opencode-model-benchmark」即可一键安装，无需额外配置。
opencode-model-benchmark 是免费的吗？
是的，opencode-model-benchmark 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
opencode-model-benchmark 支持哪些平台？
opencode-model-benchmark 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 opencode-model-benchmark？
由 BraveHeartZJH（@braveheartzjh）开发并维护，当前版本 v1.0.0。
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