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 nexus-labs-automation/mobile-observability --skill network-tracinggit clone --depth 1 https://github.com/nexus-labs-automation/mobile-observabilityWrote 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/nexus-labs-automation/mobile-observability/network-tracing)<a href="https://agentmods.dev/skills/nexus-labs-automation/mobile-observability/network-tracing"><img src="https://agentmods.dev/badge/skills/nexus-labs-automation/mobile-observability/network-tracing/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/nexus-labs-automation/mobile-observability/network-tracing"><img src="https://agentmods.dev/badge/skills/nexus-labs-automation/mobile-observability/network-tracing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.00666 |
| Opus 5 | $0.00015 | $0.00333 |
| Sonnet 5 | $0.00006 | $0.00133 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
network-tracing 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 10d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Tracing
Measure API requests and correlate with backend traces.
What to Capture (OTel-Compatible Names)
| Attribute | OTel Name | Purpose |
|---|---|---|
| Method | http.request.method |
GET, POST, etc. |
| Status | http.response.status_code |
Success/failure |
| URL | url.path |
Endpoint (sanitized) |
| Duration | http.request.duration |
Request time (ms) |
| Size | http.response.body.size |
Payload bytes |
Using OTel naming = easier migration when OTel mobile matures.
See references/otel-mobile.md for rationale.
Distributed Tracing
Propagate trace context to backend:
Client Request
│
├── traceparent: 00-{trace_id}-{span_id}-01
├── X-Request-Id: {uuid}
└── X-Session-Id: {session}
│
▼
Backend (correlates logs with trace_id)
Key Thresholds
| Metric | Good | Acceptable | Poor |
|---|---|---|---|
| API p50 | <500ms | <1s | >1s |
| API p95 | <2s | <5s | >5s |
| Error rate | <1% | <3% | >3% |
Integration Options
Choose based on existing vendor:
| Vendor | iOS | Android | Approach |
|---|---|---|---|
| Sentry | Auto URLSession swizzling | OkHttp integration | Automatic |
| Datadog | URLSession delegate | OkHttp interceptor | Semi-auto |
| Embrace | Auto-instrumentation | Auto-instrumentation | Automatic |
| New Relic | Auto URLSession instrumentation | Auto OkHttp/HttpURLConnection | Automatic |
| Custom | Manual interceptor | Manual interceptor | Manual |
Automatic (swizzling): Less code, may miss custom clients Manual (interceptors): More control, works with any HTTP client
Platform Integration Points
| Platform | Manual Option | Works With |
|---|---|---|
| iOS | URLSession delegate | All URLSession-based clients |
| iOS | Alamofire EventMonitor | Alamofire |
| Android | OkHttp Interceptor | OkHttp, Retrofit |
| Android | Ktor HttpClientPlugin | Ktor |
| RN | fetch wrapper | Native fetch |
| RN | axios interceptor | axios |
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.
- 10d ago First seen · 88 lines · 31 tokens per session scan A 957a5fd09425
network-tracing is a skill published in the GitHub repository nexus-labs-automation/mobile-observability (116 stars, last pushed 17d ago), licensed MIT. It adds 31 tokens to every session and 666 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 2026-08-30.
Other skills, from other repositories
argent-metro-debugger
Debug a JS runtime via CDP using argent debugger tools. Primary path is React Native via Metro (iOS / Android / Vega); a subset of the tools (debugger-connect, debugger-status, debugger-evaluate, debugger-log-registry) also drive a Chromium (CDP) app's renderer (an Electron app, or any Chromium browser exposing CDP)…
argent-react-native-optimization
Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.
argent-native-profiler
Native profiling for CPU hotspots, UI hangs, memory issues. iOS via xctrace; Android via Perfetto. Use when diagnosing native-level performance issues.
maui-networking-offline-data
Build MAUI networking and offline data. USE FOR: typed HttpClient, JSON serialization, Android 10.0.2.2, iOS simulator localhost, LAN/dev-tunnel fallback, debug cleartext, offline-first screens, SQLite/EF Core sync metadata, queues, encryption decisions, retries, cancellation. DO NOT USE FOR: auth redirects, Aspire…
maui-aspire-client
Connect MAUI apps to Aspire-hosted APIs. USE FOR: AddServiceDiscovery, typed HttpClient, https+http://apiservice, missing AppHost config on devices, Android emulator 10.0.2.2, iOS simulator localhost, physical-device LAN/dev-tunnel fallbacks, dev certs, Bearer handlers, debug-only cleartext. DO NOT USE FOR: offline…
maui-performance
Fix measurable MAUI performance issues. USE FOR: maui profile startup, Release/physical-device measurements, janky CollectionView, compiled bindings, oversized images, MauiImage BaseSize, thumbnail decoding, trim/NativeAOT regressions, IL2026, source-generated serializers, linker validation. DO NOT USE FOR: generic UI…