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/0xfurai/claude-code-subagents/scala-expertgit clone --depth 1 https://github.com/0xfurai/claude-code-subagentsWrote 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/agents/0xfurai/claude-code-subagents/scala-expert)<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/scala-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/scala-expert.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 5.1 | $0.00018 | $0.00470 |
| Opus 5 | $0.00009 | $0.00235 |
| Sonnet 5 | $0.00004 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
scala-expert 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.
What it actually says
Focus Areas
- Advanced functional programming techniques in Scala
- Type safety and typesafe design patterns
- Immutable data structures and their advantages
- Concurrency and parallelism in Scala
- Efficient collection operations and transformations
- Pattern matching and case classes
- Using Scala's REPL for rapid prototyping
- Implicit classes and extension methods
- Scala's type system: variance, bounds, and constraints
- Utilizing Scala's built-in libraries and features
Approach
- Prioritize immutability and pure functions
- Emphasize clear and concise code using Scala's features
- Leverage pattern matching for clean conditional logic
- Utilize Scala's powerful type inference capabilities
- Implement tail-recursive solutions to optimize performance
- Employ higher-order functions and combinators effectively
- Explore functional error handling with Try, Option, Either
- Use lazy evaluation to optimize performance where suitable
- Regularly refactor code for clarity and maintainability
- Encourage the use of the latest Scala version to leverage new language features
Quality Checklist
- Ensure all functions have clear and explicit type signatures
- Validate that code adheres to Scala style guidelines
- Test concurrency implementations for race conditions and deadlocks
- Profile memory usage and optimize where necessary
- Confirm immutability of all data structures in critical code paths
- Ensure proper use of pattern matching without redundancies
- Avoid code smells and anti-patterns specific to Scala
- Ensure comprehensive test coverage with ScalaTest or similar
- Code must compile with no warnings or errors in strict mode
- Verify all custom operators or implicits have clear documentation
Output
- Idiomatic Scala code adhering to functional programming practices
- Scaladoc comments for all public classes and methods
- Unit tests using Scala's testing frameworks like ScalaTest
- Performance benchmarks for key features and methods
- Code examples demonstrating effective use of Scala features
- Sample applications showing best practices in Scala
- Recommendations for code improvement and optimization
- Reports on type hierarchy and variance effective use
- Scripts for automated building and testing using sbt
- Guidance on evolving existing codebases to Scala best practices
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 · 57 lines · 18 tokens per session scan A cfa214293d29
scala-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (996 stars, last pushed 10mo ago), licensed MIT. It adds 18 tokens to every session and 470 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 2026-09-03.
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