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 G1Joshi/Agent-Skills --skill fly-iogit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/fly-io)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/fly-io"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/fly-io/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/g1joshi/agent-skills/fly-io"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/fly-io.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 | $0.00017 | $0.00394 |
| Opus 5 | $0.00009 | $0.00197 |
| Sonnet 5 | $0.00003 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
fly-io 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 5d 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.
What it actually says
Fly.io
Fly.io transforms containers into Firecracker MicroVMs running on bare metal across the globe. It is essentially a "CDN for your backend".
When to Use
- Global/Edge: You want your Node.js server running in Tokyo, London, and New York simultaneously.
- Postgres: Run a Postgres read-replica cluster globally with ease.
- Docker: You have a Dockerfile and want it running in 5 seconds.
Quick Start
fly launch
# Scans source code, creates Dockerfile, creates fly.toml
fly deploy
# fly.toml
app = "my-app"
primary_region = "iad"
[http_service]
internal_port = 8080
force_https = true
Core Concepts
Machines
Fly v2 runs on "Machines" (fast-booting VMs). They can wake-on-request (scale to zero).
Regions
Choose from 30+ regions. primary_region for Writes, others for Reads.
Fly Proxy
Magic routing layer. Routes your-app.fly.dev to the nearest healthy machine. Also handles internal DNS (app-name.internal).
Best Practices (2025)
Do:
- Use Machines API: For programmatic control (e.g., spinning up on-demand workers).
- Use Tigris: S3-compatible object storage integrated with Fly (since Fly has no native S3).
- Scale to Zero: Save money on dev environments by allowing machines to sleep.
Don't:
- Don't assume persistent IP: Machines move. Use the strict internal DNS
[app].internal.
References
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.
- 5d ago First seen · 64 lines · 17 tokens per session scan A af359d9f23e1
fly-io is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 394 once invoked, about $0.0001 per session on Opus 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
apify-actor-development
Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
k8s-manifests
When writing K8s YAML, designing Helm charts, setting resource limits, configuring probes, or reviewing pod security.
service-mesh
Implement service mesh for mTLS, traffic management, and observability — Istio and Linkerd patterns for Kubernetes.
apify-actorization
Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
cloud-run-basics
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
Azd Deployment
Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Cont...