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/gaelic-ghost/socket/structure-swift-sourcesnpx skills add gaelic-ghost/socket --skill structure-swift-sourcesgit clone --depth 1 https://github.com/gaelic-ghost/socketWrote 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/gaelic-ghost/socket/structure-swift-sources)<a href="https://agentmods.dev/skills/gaelic-ghost/socket/structure-swift-sources"><img src="https://agentmods.dev/badge/skills/gaelic-ghost/socket/structure-swift-sources.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.01447 |
| Opus 5 | $0.00034 | $0.00724 |
| Sonnet 5 | $0.00014 | $0.00289 |
| Haiku 4.5 | $0.00007 | $0.00145 |
Grade A, and why
structure-swift-sources 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 yesterday.
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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structure Swift Sources
Purpose
Use this skill as the top-level workflow for structural cleanup inside existing Swift components. It governs file splitting, file moves, section grouping, plain-language file headers, and TODO or FIXME ledger extraction. scripts/run-workflow.fsx classifies the cleanup, loads policy, and hands off only DocC content or Xcode-owned membership operations. It is not the formatter or linter integration authority, and it is not the DocC authoring authority.
When To Use
- Use this skill when the user wants to split oversized Swift files or move files into a clearer repo layout.
- Use this skill when the user wants high-signal
// MARK:sections, declaration grouping, or view-modifier extraction in SwiftUI code. - Use this skill when the user wants consistent block-comment file headers that describe a file's purpose and area of concern in plain terms.
- Use this skill when the user wants structured project-and-file banner headers with deterministic project, filename, copyright, and optional cross-reference fields.
- Use this skill when the user wants TODO or FIXME text moved out of source files into repo ledger files.
- Use this skill when a Swift package or Xcode app repo has drifted away from the intended feature-plus-layer directory shape.
- Recommend
format-swift-sourcesfirst when formatter or linter setup is missing, unclear, or stale. - Recommend
author-swift-docc-docswhen the task becomes symbol documentation, DocC article work, landing-page structure, topic groups, or DocC-oriented review. - Recommend
swift-package-build-run-workfloworswift-package-testing-workflowwhen structural cleanup turns into ordinary package execution or SwiftPM validation. - Recommend
xcode-build-run-workflowwhen structural cleanup turns into active Xcode execution, scheme validation, file-membership follow-through, or guarded project mutation work. - Recommend
xcode-testing-workflowwhen structural cleanup turns into active Xcode test validation or test-target diagnosis. - Recommend
bootstrap-xcode-workspace --operation alignfor product guidance alignment. A deliberately standalone package uses its own explicit repository-maintenance contract.
What ships with it
10 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.
- agents/openai.yaml 652 B
- references/automation-prompts.md 2.0 KB
- references/file-header-inventory.template.yaml 355 B
- references/file-headers.md 3.6 KB
- references/glossary.md 869 B
- references/layout-rules.md 2.6 KB
- references/source-organization-rules.md 3.5 KB
- references/todo-fixme-ledgers.md 2.4 KB
- scripts/normalize-swift-structure.fsx 3.0 KB
- scripts/run-workflow.fsx 3.3 KB
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.
- yesterday First seen · 114 lines · 69 tokens per session scan A 1f1b8db65e36
structure-swift-sources is a skill published in the GitHub repository gaelic-ghost/socket (7 stars, last pushed 9d ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,447 once invoked, about $0.0003 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.
Other skills, from other repositories
pipeline
Use when the user wants a feature idea taken end-to-end in one autonomous run — phrases like "run the whole pipeline", "take this feature from idea to finished branch", "brainstorm then build it autonomously", "do everything from idea to merged", "implement all phases without stopping". Triggers when they want…
craft
Use when a product idea is still vague and needs to become a clear definition of what to build — "let's craft an app like X", "help me define what I actually want", "clarify this idea before we plan it". Also use before planning or implementation when requirements, UX, domain behaviour, or technical preferences have…
scenario-planning
Plans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than forecasting one. Use this when a decision depends on something unknowable, when a plan assumes conditions that may not hold…
ai-ml-governance
Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory…
ai-research-analyst
Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a…
implement-factory
Factory loop orchestrator for multi-feature or multi-component implementation manifests. Use for high-complexity work with parallel-eligible workstreams and holdout-scenario evaluation.