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 mohitmishra786/low-level-dev-skills --skill apple-silicongit clone --depth 1 https://github.com/mohitmishra786/low-level-dev-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/mohitmishra786/low-level-dev-skills/apple-silicon)<a href="https://agentmods.dev/skills/mohitmishra786/low-level-dev-skills/apple-silicon"><img src="https://agentmods.dev/badge/skills/mohitmishra786/low-level-dev-skills/apple-silicon/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/mohitmishra786/low-level-dev-skills/apple-silicon"><img src="https://agentmods.dev/badge/skills/mohitmishra786/low-level-dev-skills/apple-silicon.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 | $0.00076 | $0.01753 |
| Opus 5 | $0.00038 | $0.00877 |
| Sonnet 5 | $0.00015 | $0.00351 |
| Haiku 4.5 | $0.00008 | $0.00175 |
Grade A, and why
apple-silicon 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Silicon
Purpose
Guide agents through Apple Silicon (M-series) development: unified memory architecture, AMX matrix coprocessor access via Accelerate, Metal Performance Shaders for GPU compute, sysctl hardware queries, Instruments profiling, command-line leak tools, Rosetta 2 translation behavior, and 16KB page size implications.
When to Use
- Optimizing native ARM64 apps on macOS for M1/M2/M3/M4
- Using GPU/NPU compute without discrete GPU PCIe transfers
- Profiling memory and CPU with Instruments or command-line tools
- Understanding Rosetta 2 compatibility for x86 binaries
- Adapting code for 16KB page size on Apple Silicon
- Accessing matrix acceleration via Accelerate/vDSP/BLAS
Workflow
1. Unified memory architecture
Apple Silicon SoC
├── CPU cores (P + E cores)
├── GPU cores
├── Neural Engine (NPU)
└── Unified DRAM — single address space, no PCIe copy
Implications:
cudaMemcpyequivalent is unnecessary for CPU↔GPU on Metal- Memory bandwidth shared across agents — profile holistically
- Process memory includes all unified allocations
2. Hardware information
# CPU and chip info
sysctl -n machdep.cpu.brand_string
sysctl hw.physicalcpu hw.logicalcpu
sysctl hw.memsize
# ARM64 features (keys vary by chip — grep if specific FEAT_* is missing)
sysctl -a hw.optional.arm 2>/dev/null | grep -iE 'sve|bf16|mte'
# Cache line size
sysctl hw.cachelinesize
# Page size (16KB on macOS Apple Silicon)
sysctl hw.pagesize # 16384
getconf PAGESIZE
3. 16KB page size considerations
macOS on Apple Silicon uses 16KB pages (not 4KB):
// Align hot buffers to page size
size_t page = sysconf(_SC_PAGESIZE); // 16384
void *buf = aligned_alloc(page, size);
// mmap alignment must be page-aligned
mmap(NULL, size, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0);
Impact:
posix_memalignminimum alignment often 16KB for large allocs- JVM/Go runtimes auto-tune; custom allocators must adapt
- Test on device — x86 CI may use 4KB pages
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 · 212 lines · 76 tokens per session scan A 7f197bb8a999
apple-silicon is a skill published in the GitHub repository mohitmishra786/low-level-dev-skills (203 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 1,753 once invoked, about $0.0004 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.
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