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 | $0.00039 | $0.01121 |
| Opus 5.5 | $0.00016 | $0.00448 |
| Sonnet 5.5 | $0.00008 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
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 22d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 Microservices & APIs: Deploying full-stack applications and databases physically close to users.
- Modern Full-Stack Frameworks: Next.js, Remix, Phoenix LiveView, Rails, and Node.js with instant global scaling.
- LiteFS Distributed SQLite: Replicating SQLite databases globally with low-latency local reads and streaming primary writes.
- GPU Inference at the Edge: Running open-weight AI models on edge GPUs with rapid cold starts.
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
Declarative Configuration with fly.toml
Defining machine resources, scaling rules, and health checks:
# fly.toml
app = "api-edge-service"
primary_region = "ord" # Chicago primary
[build]
dockerfile = "Dockerfile"
[http_service]
internal_port = 8080
force_https = true
auto_stop_machines = 'stop' # Scale to zero when idle
auto_start_machines = true
min_machines_running = 1
[http_service.concurrency]
type = "requests"
soft_limit = 200
hard_limit = 250
[[vm]]
size = "shared-cpu-2x"
memory = "2048mb"
[[services.http_checks]]
interval = "10s"
timeout = "2s"
grace_period = "5s"
method = "get"
path = "/healthz"
Global SQLite Replication with LiteFS
Configuring distributed SQLite clusters with automated failover:
# etc/litefs.yml
fuse:
dir: "/litefs"
data:
dir: "/var/lib/litefs"
exit-on-error: false
proxy:
addr: ":8080"
target: "localhost:8081"
db: "production.db"
lease:
type: "consul"
advertise-url: "http://${FLY_ALLOC_ID}.vm.${FLY_APP_NAME}.internal:20202"
candidate: ${FLY_REGION == "ord"} # Only Chicago is eligible for primary
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.
- 22d ago Changed · +5 lines 491c99be4a00
- 26d ago Changed · +102 lines · +22 tokens per session a5a6c4dfb431
- 1mo 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 (15 stars, last pushed 23d ago), licensed MIT. It adds 39 tokens to every session and 1,121 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
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Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
shipping-and-launch
Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
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.
agents-v2-py
Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
cloudflare-workers-expert
Expert guide for Cloudflare Workers ecosystem — Workers, D1 (SQLite at edge), KV, R2 (S3-compatible storage), Queues, Durable Objects, Hyperdrive, and Workers AI / Panduan ahli ekosistem Cloudflare Workers — Workers, D1, KV, R2, Queues, Durable Objects, Hyperdrive, dan Workers AI.
api-design
Design stable, versioned, self-documenting APIs. Easy to use correctly, hard to use incorrectly. Apply Hyrum's Law from day one.