Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add armanzeroeight/fastagent-plugins --skill load-balancergit clone --depth 1 https://github.com/armanzeroeight/fastagent-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/load-balancer)<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/load-balancer"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/load-balancer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/load-balancer"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/load-balancer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.00985 |
| Opus 5.5 | $0.00016 | $0.00394 |
| Sonnet 5.5 | $0.00008 | $0.00197 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
load-balancer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load Balancer Configuration
Quick Start
Configure nginx to distribute traffic across multiple backend servers with health checks and automatic failover.
Instructions
Step 1: Define upstream block
Create an upstream block with your backend servers:
upstream backend {
# Load balancing method (optional, defaults to round-robin)
least_conn; # or ip_hash, or omit for round-robin
# Backend servers
server backend1.example.com:8080 weight=3;
server backend2.example.com:8080 weight=2;
server backend3.example.com:8080;
# Backup server (used when all primary servers are down)
server backup.example.com:8080 backup;
# Health check parameters
keepalive 32;
}
Step 2: Configure proxy in server block
Add proxy configuration to route traffic to the upstream:
server {
listen 80;
server_name example.com;
location / {
proxy_pass http://backend;
# Essential proxy headers
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
# Timeouts
proxy_connect_timeout 60s;
proxy_send_timeout 60s;
proxy_read_timeout 60s;
# Buffering
proxy_buffering on;
proxy_buffer_size 4k;
proxy_buffers 8 4k;
}
}
Step 3: Add health checks
Configure passive health checks (active checks require nginx Plus):
upstream backend {
server backend1.example.com:8080 max_fails=3 fail_timeout=30s;
server backend2.example.com:8080 max_fails=3 fail_timeout=30s;
server backend3.example.com:8080 max_fails=3 fail_timeout=30s;
}
Parameters:
max_fails: Number of failed attempts before marking server as unavailablefail_timeout: Time to wait before retrying a failed server
Step 4: Test and reload
# Test configuration
nginx -t
# Reload nginx
nginx -s reload
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 169 lines · 40 tokens per session scan A 6807e9077895
load-balancer is a skill published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 985 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
artifact-deploy
One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".
remote-crew-microvm
Drive the AWS Lambda MicroVM remote-crew lane: check whether it is configured, hand the operator the cloud.json block when it is not, launch a crew, reach it, and tear it down. Use for microvm, lambda microvm, remote crew, cheap cloud crew.
deploy-open-harness
Guides a user through collecting the credentials needed to deploy their own copy of Open Harness, deploying this repo on Vercel, and completing first-run setup. Use for requests about deploying, self-hosting, configuring credentials, or getting started with a fork of this app.
capawesome-cloud
Guides the agent through setting up and using Capawesome Cloud for Capacitor and Cordova apps. Covers three core workflows: (1) Native Builds — cloud builds for iOS and Android (Capacitor, Cordova, or native projects), signing certificates, environments, Trapeze configuration, and build artifacts; (2) Live Updates …
guizang-ppt-skill
A skill for creating presentation decks as single HTML files that users can move through horizontally in a browser. It provides templates with WebGL backgrounds, chapter title screens, large data displays, and image grids, in either an editorial or Swiss-style visual direction.
proma-coach
A Chinese-language coach for improving how people use Proma, Agent, Skill, Chat, and project tools.