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 agentmods add skills/avdlee/xcode-build-optimization-agent-skill/xcode-compilation-analyzernpx skills add AvdLee/Xcode-Build-Optimization-Agent-Skill --skill xcode-compilation-analyzergit clone --depth 1 https://github.com/AvdLee/Xcode-Build-Optimization-Agent-SkillWhat 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 | $0.00074 | $0.01080 |
| Opus 5 | $0.00037 | $0.00540 |
| Sonnet 5 | $0.00015 | $0.00216 |
| Haiku 4.5 | $0.00007 | $0.00108 |
Grade A, and why
xcode-compilation-analyzer 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 2d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- xcode-compilation-analyzer — 100% identical, 0 lines differ
- xcode-compilation-analyzer — 100% identical, 0 lines differ
- xcode-compilation-analyzer — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Xcode Compilation Analyzer
Use this skill when compile time, not just general project configuration, looks like the bottleneck.
Core Rules
- Start from evidence, ideally a recent
.build-benchmark/artifact or raw timing-summary output. - Prefer analysis-only compiler flags over persistent project edits during investigation.
- Rank findings by expected wall-clock impact, not cumulative compile-time impact. When compile tasks are heavily parallelized (sum of compile categories >> wall-clock median), note that fixing individual hotspots may improve parallel efficiency without reducing build wait time.
- When the evidence points to parallelized work rather than serial bottlenecks, label recommendations as "Reduces compiler workload (parallel)" rather than "Reduces build time."
- Do not edit source or build settings without explicit developer approval.
What To Inspect
Build Timing Summaryoutput from clean and incremental builds- long-running
CompileSwiftSourcesor per-file compilation tasks SwiftEmitModuletime -- can reach 60s+ after a single-line change in large modules; if it dominates incremental builds, the module is likely too large or macro-heavyPlanning Swift moduletime -- if this category is disproportionately large in incremental builds (up to 30s per module), it signals unexpected input invalidation or macro-related rebuild cascading- ad hoc runs with:
-Xfrontend -warn-long-expression-type-checking=<ms>-Xfrontend -warn-long-function-bodies=<ms>
- deeper diagnostic flags for thorough investigation:
-Xfrontend -debug-time-compilation-- per-file compile times to rank the slowest files-Xfrontend -debug-time-function-bodies-- per-function compile times (unfiltered, complements the threshold-based warning flags)-Xswiftc -driver-time-compilation-- driver-level timing to isolate driver overhead-Xfrontend -stats-output-dir <path>-- detailed compiler statistics (JSON) per compilation unit for root-cause analysis
- mixed Swift and Objective-C surfaces that increase bridging work
What ships with it
4 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.
- 2d ago First seen · 90 lines · 74 tokens per session scan A c49d8bf206d6
xcode-compilation-analyzer is a skill published in the GitHub repository AvdLee/Xcode-Build-Optimization-Agent-Skill (1,212 stars, last pushed 20d ago), licensed MIT. It adds 74 tokens to every session and 1,080 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 2026-08-30.
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