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/guitaralchemist/ga/fsharp-csharp-bridgenpx skills add GuitarAlchemist/ga --skill fsharp-csharp-bridgegit clone --depth 1 https://github.com/GuitarAlchemist/gaWrote 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/guitaralchemist/ga/fsharp-csharp-bridge)<a href="https://agentmods.dev/skills/guitaralchemist/ga/fsharp-csharp-bridge"><img src="https://agentmods.dev/badge/skills/guitaralchemist/ga/fsharp-csharp-bridge.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 | $0.00024 | $0.00795 |
| Opus 5 | $0.00012 | $0.00398 |
| Sonnet 5 | $0.00005 | $0.00159 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
F# & Configuration Architecture 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 4d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
F# & Configuration Architecture
This skill governs the development of the F# components (GA.MusicTheory.DSL, GA.Business.Config) and the YAML configuration architecture they support.
1. F# Coding Standards
1.1 Style & Layout
- Indent: 4 spaces.
- Naming:
camelCasefor values/functions,PascalCasefor types/modules. - Modules: Use
module MyModule =for grouping helper functions. - Pipelines: Prefer
|>for data transformations.
1.2 Type Design
- Immutability: Use immutable records and DUs (Discriminated Unions) by default.
- CLIMutable: Add
[<CLIMutable>]to records used in YAML deserialization or C# interop. - Options: Use
Option<'T>for nullability.
type TuningInfo = { Name: string; Tuning: string }
module TuningHelpers =
let formatTuning t = $"%s{t.Name}: %s{t.Tuning}"
2. Configuration Architecture (YAML)
All static domain data (Scales, Instruments, Voicings) is stored in YAML in GA.Business.Config.
2.1 YAML Schema Rules
- Naming: Keys must be PascalCase (e.g.,
IntervalClassVector,ModalFamilies). - Structure: Hierarchical data preferred.
- Serialization: Handled by YamlDotNet.
2.2 Loading Pattern
Use the standard loader pattern found in InstrumentsConfig.fs or ModesConfig.fs:
- Define DTOs: Create
CLIMutablerecords matching the YAML structure. - Locate File: Check multiple locations (Bin, Repo Root, Config subfolder) to support Test vs Run environments.
- Deserialize: Use
DeserializerBuilder().WithNamingConvention(PascalCaseNamingConvention.Instance). - Fallback: Always provide a minimal hardcoded fall back if the file is missing to prevent crash-loops.
let private loadData () =
try
let yaml = File.ReadAllText(path)
deserializer.Deserialize<MyConfig>(yaml)
with _ ->
defaultData // Fallback
3. C# Interop (The Bridge)
3.1 Handling Results
Convert F# Result<'T, 'Error> to C# logic:
var result = service.DoWork();
if (result.IsOk) { ... result.ResultValue ... }
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.
- 4d ago First seen · 82 lines · 24 tokens per session scan A 54b75268e6db
F# & Configuration Architecture is a skill published in the GitHub repository GuitarAlchemist/ga (2 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 795 once invoked, about $0.0001 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 2026-08-31.
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…