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Slv Benchmark
作者
ELSOUL LABO B.V.
· GitHub ↗
· v0.13.15
· MIT-0
146
总下载
0
收藏
0
当前安装
6
版本数
在 OpenClaw 中安装
/install slv-benchmark
功能描述
Run benchmark tests and connectivity checks for SLV endpoints using shredstream, grpc, or rpc with region-aware configuration and API key support.
安全使用建议
This skill appears to do what it says (generate geyserbench configs, check endpoints, and use an ERPC API key) but review these before installing:
- Confirm the source: the registry metadata shows limited provenance and the skill.json points at a GitHub repo; verify that repo and the author (ValidatorsDAO) are the expected maintainers.
- Be aware the agent will look for and read ~/.slv/api.yml to obtain an ERPC API key. If that file contains other secrets or you don't want the agent reading files in your home directory, do not install or remove/relocate the key beforehand.
- The skill will prefer to run a local benchmark binary (geyserbench) if present. Running a binary means arbitrary code execution on your host — ensure geyserbench is from a trusted source and you understand its behavior.
- Note internal inconsistencies: registry metadata lists no required binaries while skill.json declares 'curl' and optional 'geyserbench'; the version in skill.json (0.9.962) differs from the registry version (0.13.15) and the skill's homepage was listed as none while skill.json points to a GitHub page. These mismatches could be benign (packaging sloppiness) but merit verification with the publisher.
If you trust the publisher and are comfortable with the agent reading ~/.slv/api.yml and optionally executing geyserbench, the skill is functionally coherent. If not, ask the author to clarify the discrepancies and to provide a verified homepage/repository before proceeding.
功能分析
Type: OpenClaw Skill
Name: slv-benchmark
Version: 0.13.15
The skill is designed for Solana endpoint benchmarking and connectivity testing. It automates the generation of configuration files and the execution of the 'geyserbench' utility. While it accesses a local configuration file (~/.slv/api.yml) to retrieve an API key, this behavior is limited to the tool's specific domain and is consistent with its stated purpose. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection in SKILL.md or AGENT.md.
能力评估
Purpose & Capability
The SKILL.md and AGENT.md describe exactly the stated purpose (generating geyserbench configs, region-aware measurements, using an ERPC API key). However the provided skill.json lists system requirements (curl, optional geyserbench) while the registry metadata shows no required binaries — that's an internal inconsistency. Otherwise the resources the skill uses (local api.yml and a local benchmark binary) are coherent with benchmarking functionality.
Instruction Scope
Instructions explicitly tell the agent to read ~/.slv/api.yml for the ERPC API key and to run a local benchmark binary (geyserbench) if present. Both actions are reasonable for a benchmarking tool, but they allow the agent to read a file in your home directory (which may contain secrets) and to execute a local binary. There are no instructions to read unrelated config or to exfiltrate data, and the only network target mentioned is the expected erpc_url (https://edge.erpc.global).
Install Mechanism
This is instruction-only with no install spec and no code files; nothing will be downloaded or written by the skill itself. That minimizes installation risk.
Credentials
The skill requests no environment variables or credentials via the registry metadata, but it does expect an ERPC API key stored in ~/.slv/api.yml. Requesting the local config file is proportional to its function, but it is a form of secret access worth noting. No other unrelated credentials are requested.
Persistence & Privilege
The skill is not marked always:true and has no install actions that modify agent/system settings. It can be invoked autonomously per platform defaults, which is normal for skills; there is no evidence it requests persistent elevated privileges.
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 slv-benchmark - 安装完成后,直接呼叫该 Skill 的名称或使用
/slv-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
v0.13.15
- No changes detected in this version.
- Documentation and functionality remain the same as the previous release.
v0.13.14
- No changes were detected in this version.
v0.13.13
- No user-facing changes in this version.
- No file changes detected.
v0.13.12
- No file changes detected in this version.
- Documentation and feature descriptions remain unchanged.
- No new features, fixes, or updates included.
v0.13.11
- No changes detected in this version.
- Documentation, features, and usage remain unchanged.
v0.13.9
- Added documentation for SLV benchmark and connectivity workflows.
- Listed supported benchmark types: shredstream, grpc, and rpc.
- Specified input collection order, emphasizing region selection before execution.
- Provided configuration guidance and example for geyserbench, including ERPC API key handling.
- Outlined planned CLI shape for future releases.
- Added user instructions for missing ERPC API key.
元数据
常见问题
Slv Benchmark 是什么?
Run benchmark tests and connectivity checks for SLV endpoints using shredstream, grpc, or rpc with region-aware configuration and API key support. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 146 次。
如何安装 Slv Benchmark?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install slv-benchmark」即可一键安装,无需额外配置。
Slv Benchmark 是免费的吗?
是的,Slv Benchmark 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Slv Benchmark 支持哪些平台?
Slv 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 Slv Benchmark?
由 ELSOUL LABO B.V.(@poppin-fumi)开发并维护,当前版本 v0.13.15。
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