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teoslayer

Pilot Load Balancer

by Calin Teodor · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
82
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1
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Install in OpenClaw
/install pilot-load-balancer
Description
Distribute tasks across worker pools with health-aware load balancing. Use this skill when: 1. You need to distribute tasks across multiple worker agents 2....
Usage Guidance
This skill appears to implement load‑balancing via the pilotctl CLI and is not inherently malicious, but there are a few issues to check before use: - Ensure pilotctl is a trusted binary and pilot-protocol skill is safe; pilotctl performs network actions. - SKILL.md lists jq and uuidgen as dependencies but the registry only requires pilotctl — install and confirm jq/uuidgen are present. - Provide or validate the variables the scripts expect (TASK_ID, WORKER_COUNT, WORKER_STATUS) to avoid the agent making unsafe assumptions. - Review and sanitize the payloads sent with pilotctl --send-message and validate worker addresses to avoid sending sensitive data to unintended peers. - Be aware the script writes /tmp/load-balancer-index.txt (possible race conditions or cross-user interference); consider using a safer state store or a per-agent path. - If you need stronger assurances, request the publisher add explicit required binaries and example environment/inputs to SKILL.md or test in an isolated environment first.
Capability Assessment
Purpose & Capability
Name/description and commands revolve around distributing tasks via the pilotctl CLI and health-aware selection; requiring pilotctl and pilot-protocol is coherent with the stated purpose.
Instruction Scope
The SKILL.md instructs the agent to read/write /tmp/load-balancer-index.txt and to call pilotctl send-message to peer addresses (network activity) which is within purpose but potentially impactful. The instructions reference several undeclared variables (TASK_ID, WORKER_COUNT, WORKER_STATUS) and do not define how those are provided, giving the agent broad discretion. The docs are also vague about validation of worker addresses and what payloads are acceptable.
Install Mechanism
This is instruction-only (no install spec) which reduces disk-write risk. However SKILL.md declares additional dependencies (jq, uuidgen) that are not listed in the registry's required binaries — an inconsistency that could cause runtime failures or surprise about needed tooling.
Credentials
The skill requests no environment variables or credentials, which is proportionate. It does read/write a local file under /tmp for index state; that behavior is reasonable for a simple balancer but should be noted for multi-user or privileged environments.
Persistence & Privilege
always:false and no install steps or config changes are requested. The skill does not request persistent presence or elevated agent-wide privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pilot-load-balancer
  3. After installation, invoke the skill by name or use /pilot-load-balancer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug pilot-load-balancer
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Pilot Load Balancer?

Distribute tasks across worker pools with health-aware load balancing. Use this skill when: 1. You need to distribute tasks across multiple worker agents 2.... It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.

How do I install Pilot Load Balancer?

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

Is Pilot Load Balancer free?

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

Which platforms does Pilot Load Balancer support?

Pilot Load Balancer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Pilot Load Balancer?

It is built and maintained by Calin Teodor (@teoslayer); the current version is v1.0.0.

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