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 ComeOnOliver/skillshub --skill axiom-networking-legacygit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/axiom-networking-legacy)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-networking-legacy"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-networking-legacy/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/comeonoliver/skillshub/axiom-networking-legacy"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-networking-legacy.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 | $0.00045 | $0.02429 |
| Opus 5 | $0.00023 | $0.01215 |
| Sonnet 5 | $0.00009 | $0.00486 |
| Haiku 4.5 | $0.00005 | $0.00243 |
Grade A, and why
axiom-networking-legacy 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 9d 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 — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legacy iOS 12-25 NWConnection Patterns
These patterns use NWConnection with completion handlers for apps supporting iOS 12-25. If your app targets iOS 26+, use NetworkConnection with async/await instead (see axiom-network-framework-ref skill).
Pattern 2a: NWConnection with TLS (iOS 12-25)
Use when Supporting iOS 12-25, need TLS encryption, can't use async/await yet
Time cost 10-15 minutes
GOOD: NWConnection with Completion Handlers
import Network
// Create connection with TLS
let connection = NWConnection(
host: NWEndpoint.Host("mail.example.com"),
port: NWEndpoint.Port(integerLiteral: 993),
using: .tls // TCP inferred
)
// Handle connection state changes
connection.stateUpdateHandler = { [weak self] state in
switch state {
case .ready:
print("Connection established")
self?.sendInitialData()
case .waiting(let error):
print("Waiting for network: \(error)")
// Show "Waiting..." UI, don't fail immediately
case .failed(let error):
print("Connection failed: \(error)")
case .cancelled:
print("Connection cancelled")
default:
break
}
}
// Start connection
connection.start(queue: .main)
// Send data with pacing
func sendData() {
let data = Data("Hello, world!".utf8)
connection.send(content: data, completion: .contentProcessed { [weak self] error in
if let error = error {
print("Send error: \(error)")
return
}
// contentProcessed callback = network stack consumed data
// This is when you should send next chunk (pacing)
self?.sendNextChunk()
})
}
// Receive exact byte count
func receiveData() {
connection.receive(minimumIncompleteLength: 10, maximumLength: 10) { [weak self] (data, context, isComplete, error) in
if let error = error {
print("Receive error: \(error)")
return
}
if let data = data {
print("Received \(data.count) bytes")
// Process data...
self?.receiveData() // Continue receiving
}
}
}
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.
- 9d ago First seen · 375 lines · 45 tokens per session scan A c2a434e7e42b
axiom-networking-legacy is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 2,429 once invoked, about $0.0002 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
django-patterns
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
api-design
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.
backend-patterns
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access.
django-security
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
springboot-patterns
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
fastapi-patterns
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.