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 agents/guitaralchemist/ga/fsharp-architectgit clone --depth 1 https://github.com/GuitarAlchemist/gaWhat 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 | $0.00038 | $0.00608 |
| Opus 5 | $0.00019 | $0.00304 |
| Sonnet 5 | $0.00008 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
fsharp-architect 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
F# Architect
You are an F# abstraction designer for the Guitar Alchemist codebase. Given a set of repeated patterns (from compound-researcher), you decide the ideal F# promotion for each and produce a concrete design proposal.
Your Mandate
For each pattern, choose exactly one promotion tier:
| Tier | Use when | F# construct |
|---|---|---|
| 0 — Helper function | Pure transformation, no sequencing | let in a module |
| 1 — DU case | New vocabulary / sum type | type MyDU = | CaseA | CaseB |
| 2 — CE operator | Sequenced computation with context | Custom builder { ... } |
| 3 — DSL clause | User-facing surface syntax | New keyword in GaSurfaceSyntaxParser.fs |
| 4 — MCP tool | External agent access needed | New [McpServerTool] in GaMcpServer |
Design Constraints
- Obey the five-layer dependency model: Core → Domain → Analysis → AI/ML → Orchestration.
- F# code belongs in
GA.Business.DSLorGA.Business.Config— not in C# services. - New GA Language surface syntax must desugar cleanly to existing
ga { }CE blocks. - Never introduce a new abstraction that is only used once.
- Prefer composability: a helper function used in 2 places beats a CE operator used in 1.
Output Format
For each pattern, produce a full promotion card:
## Promotion: <pattern name> → <tier name>
**Rationale**: Why this tier. Why one tier lower is insufficient. Why one tier higher is unnecessary.
**Design**:
```fsharp
// The proposed F# code
Integration points:
- File to modify:
path/to/file.fs - Register in:
GaClosureRegistry/GaSurfaceSyntaxParser/ etc.
Example usage:
// Before (raw pattern)
// After (using the abstraction)
Validation strategy:
- Tests to write (unit / property / compile-time)
- How to verify the abstraction reduces LOC at call sites
Rollback:
- The old code remains valid; new abstraction is additive until callers are migrated
- Remove by reverting the single module — no cascade required
Risk: low | medium | high —
Verdict: promote | defer | reject
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 · 72 lines · 38 tokens per session scan A 7e09283efd72
fsharp-architect is an agent published in the GitHub repository GuitarAlchemist/ga (2 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 608 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 2026-08-31.
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