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/johnrogers/claude-swift-engineering/sqlite-datanpx skills add johnrogers/claude-swift-engineering --skill sqlite-datagit clone --depth 1 https://github.com/johnrogers/claude-swift-engineeringWhat 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 | $0.00039 | $0.00820 |
| Opus 5 | $0.00019 | $0.00410 |
| Sonnet 5 | $0.00008 | $0.00164 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
sqlite-data 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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQLite Data
SQLiteData provides type-safe SQLite access through Swift macros, simplifying database modeling and queries while handling CloudKit sync, migrations, and async patterns automatically.
Reference Loading Guide
ALWAYS load reference files if there is even a small chance the content may be required. It's better to have the context than to miss a pattern or make a mistake.
| Reference | Load When |
|---|---|
| Table Models | Defining tables with @Table, setting up primary keys, columns, or enums |
| Queries - Basics | Using @FetchAll, @FetchOne, @Selection, filtering, ordering, or joins |
| Queries - Advanced | Using @Fetch with FetchKeyRequest, dynamic queries, recursive CTEs, or direct reads |
| Writes | Inserting, updating, upserting, deleting records, or managing transactions |
| Views - SwiftUI | Using @FetchAll/@FetchOne in SwiftUI views, @Observable models, or animations |
| Views - Integration | UIKit integration, dynamic query loading, TCA integration, or observe {} |
| Migrations | Creating database migrations with DatabaseMigrator or #sql() macro |
| CloudKit Sync | Setting up CloudKit private database sync, sharing, or sync delegates |
| Dependencies | Injecting database/sync engine via @Dependency, bootstrap patterns, or TCA integration |
| Testing | Setting up test databases, seeding data, or writing assertions for SQLite code |
| Advanced - Queries | Implementing triggers, custom database functions, or full-text search (FTS5) |
| Advanced - Optimization | Performance tuning, indexes, custom aggregates, JSON aggregation, or self-joins |
| Schema Composition | Using @Selection column groups, single-table inheritance, or database views |
What ships with it
13 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.
- references/advanced-optimization.md 3.7 KB
- references/advanced-queries.md 5.3 KB
- references/cloudkit.md 6.3 KB
- references/dependencies.md 5.6 KB
- references/migrations.md 5.2 KB
- references/models.md 4.2 KB
- references/queries-advanced.md 3.4 KB
- references/queries-basics.md 4.6 KB
- references/schema-composition.md 3.6 KB
- references/testing.md 6.3 KB
- references/views-integration.md 4.4 KB
- references/views-swiftui.md 3.1 KB
- references/writes.md 4.7 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.
- 2d ago First seen · 50 lines · 39 tokens per session scan A ef93d39a9da2
sqlite-data is a skill published in the GitHub repository johnrogers/claude-swift-engineering (228 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 820 once invoked, about $0.0002 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…