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poppin-fumi

Slv Benchmark

by ELSOUL LABO B.V. · GitHub ↗ · v0.13.15 · MIT-0
cross-platform ⚠ suspicious
146
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0
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0
Active Installs
6
Versions
Install in OpenClaw
/install slv-benchmark
Description
Run benchmark tests and connectivity checks for SLV endpoints using shredstream, grpc, or rpc with region-aware configuration and API key support.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install slv-benchmark
  3. After installation, invoke the skill by name or use /slv-benchmark
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug slv-benchmark
Version 0.13.15
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 6
Frequently Asked Questions

What is Slv Benchmark?

Run benchmark tests and connectivity checks for SLV endpoints using shredstream, grpc, or rpc with region-aware configuration and API key support. It is an AI Agent Skill for Claude Code / OpenClaw, with 146 downloads so far.

How do I install Slv Benchmark?

Run "/install slv-benchmark" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Slv Benchmark free?

Yes, Slv Benchmark is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Slv Benchmark support?

Slv Benchmark is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Slv Benchmark?

It is built and maintained by ELSOUL LABO B.V. (@poppin-fumi); the current version is v0.13.15.

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