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 TalissonVitorino/kmp-ios-skills --skill debugging-instrumentsgit clone --depth 1 https://github.com/TalissonVitorino/kmp-ios-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/talissonvitorino/kmp-ios-skills/debugging-instruments)<a href="https://agentmods.dev/skills/talissonvitorino/kmp-ios-skills/debugging-instruments"><img src="https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-skills/debugging-instruments.svg" alt="Measured on agentmods" 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 | $0.00221 | $0.04641 |
| Opus 5 | $0.00111 | $0.02320 |
| Sonnet 5 | $0.00044 | $0.00928 |
| Haiku 4.5 | $0.00022 | $0.00464 |
Grade A, and why
debugging-instruments 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 8d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugging & Instruments (iOS / macOS)
Interactive debugging and performance profiling for a fintech iOS app: pause and
inspect with LLDB, find leaks and retain cycles with the Memory Graph Debugger,
and measure CPU / memory / hangs / hitches / energy / network with Instruments.
Grounded in the LLDB, Xcode, Instruments, and os (unified logging) tooling.
Target: iOS 26 era, Xcode 26.
- Production counterpart:
metrickit— the field version of these signals (hangs, disk-writes, launch time, crashes) sampled from real users. Debug locally here; regress in CI/production there. - SwiftUI update traces:
swiftui-expert-skillowns deep.traceanalysis of the SwiftUI instrument (View Body / Properties / Core Animation commits). - Simulator control:
ios-simulator(simctl) to install/launch/deep-link/screenshot the target you profile. - Android/KMP counterpart:
perfetto-trace-analysis(+perfetto-sql) for the shared/Android side.
Contents
- Pick the right tool
- LLDB
- Memory Graph Debugger
- Instruments templates
- os_signpost / OSSignposter
- xctrace CLI (CI)
- Symbolication
- Build-failure triage
- Correctness checklist
- Depth:
references/lldb.md,references/instruments.md
Pick the right tool
| Symptom | Tool |
|---|---|
| Wrong value / crash at a line | LLDB breakpoints + po/p/v |
| Object never deallocates, retain cycle | Memory Graph Debugger (+ MallocStackLogging) |
| Growing memory, no cycle | Instruments → Allocations (mark generations) |
| CPU-bound, slow method | Time Profiler / CPU Profiler |
| Main-thread stall > 250 ms | Hangs instrument (or Time Profiler) |
| Scroll/animation stutter | Animation Hitches |
| Battery drain | Energy Log |
| Slow/redundant requests | Network |
| SwiftUI re-render storms | SwiftUI instrument → swiftui-expert-skill |
| Measure a specific code region | os_signpost / Points of Interest |
| Repeatable profiling in CI | xctrace CLI |
What ships with it
2 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.
- 8d ago First seen · 257 lines · 221 tokens per session scan A 38a22e300a52
debugging-instruments is a skill published in the GitHub repository TalissonVitorino/kmp-ios-skills (12 stars, last pushed 13d ago), licensed MIT. It adds 221 tokens to every session and 4,641 once invoked, about $0.0011 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.
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