Xcode Build Optimization Agent Skills is a collection of agent skills that benchmarks and analyzes Xcode clean and incremental builds, compiler hotspots, project settings, and Swift Package Manager overhead. It is for iOS developers who want an AI coding agent to identify build-performance improvements and produce an optimization plan before changes are approved. The catalogue entries provide the skills, instructions, and plugin used for this workflow.
Borrowing it
Nothing to install: this file belongs to AvdLee/Xcode-Build-Optimization-Agent-Skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AvdLee/Xcode-Build-Optimization-Agent-Skill/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/AvdLee/Xcode-Build-Optimization-Agent-SkillWrote 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/instructions/avdlee/xcode-build-optimization-agent-skill/copilot-instructions)<a href="https://agentmods.dev/instructions/avdlee/xcode-build-optimization-agent-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/avdlee/xcode-build-optimization-agent-skill/copilot-instructions/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/instructions/avdlee/xcode-build-optimization-agent-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/avdlee/xcode-build-optimization-agent-skill/copilot-instructions.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 | $0.00525 | $0.00525 |
| Opus 5.5 | $0.00210 | $0.00210 |
| Sonnet 5.5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
Xcode-Build-Optimization-Agent-Skill copilot-instructions.md 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 1mo 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions: Xcode Build Optimization Skills
Review changes as an Agent Skills expert and Xcode build optimization reviewer.
Repository Mission
Keep this repository focused on:
- Xcode clean and incremental build benchmarking
- compile hotspot analysis
- build settings and scheme auditing
- build script and dependency-analysis guidance
- Swift Package Manager build overhead and module variant analysis
Do not turn the repository into general iOS architecture guidance or product documentation.
Agent Skill Requirements
- Every skill directory must contain a
SKILL.mdwith validnameanddescriptionfrontmatter. - Descriptions must state both what the skill does and when to use it.
- Keep
SKILL.mdconcise and delegate deeper material to one-level-deep reference files. - Reference files should be discoverable from the matching
SKILL.md.
Behavior Constraints
- Default to recommend-first behavior.
- Never introduce instructions that apply project, build-setting, or source changes without explicit developer approval.
- Preserve evidence-driven workflows: command used, build type, target or package affected, and measured impact.
- Prefer deterministic shell commands and structured artifacts over ad hoc prose.
Build Optimization Focus Areas
When reviewing changes, prioritize:
-
Benchmark correctness
- clean vs incremental builds are treated separately
- warm-up and repetition rules are explicit
- output artifacts are stored in
.build-benchmark/
-
Evidence quality
- recommendations cite timing summaries, script phases, compiler diagnostics, or dependency data
- estimated impact and confidence are separated from observed evidence
-
Apple-aligned guidance
- target dependencies and build order accuracy
- script input/output declarations and
.xcfilelistusage DEFINES_MODULE, module maps, and framework-qualified imports- explicit module dependency and module variant reduction guidance
- explicit type information and simpler expressions for Swift compile efficiency
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.
- 1mo ago First seen · 70 lines · 525 tokens per session scan A a77d5d6d6c98
Xcode-Build-Optimization-Agent-Skill copilot-instructions.md is an instructions file published in the GitHub repository AvdLee/Xcode-Build-Optimization-Agent-Skill (1,258 stars, last pushed 1mo ago), licensed MIT. It adds 525 tokens to every session, about $0.0021 per session on Opus 5.5. 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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