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 skills add cxcscmu/SkillLearnBench --skill python-scala-idiomsgit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/python-scala-idioms)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/python-scala-idioms"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/python-scala-idioms.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 | $0.00024 | $0.00299 |
| Opus 5 | $0.00012 | $0.00150 |
| Sonnet 5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
python-scala-idioms scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Scala Idioms and Conventions
Naming Conventions
- Classes/Traits:
PascalCase - Methods/Fields:
camelCase(notsnake_case) - Constants:
PascalCasein companion objects orUPPER_CASEfor enum-like - Package:
lowercase - Type parameters: single uppercase letter
T,A,B
Error Handling
// Python: raise ValueError -> Scala: throw or Either/Try
// Prefer Option for absence, Either/Try for errors
def tokenizePath(value: Json, path: String): Option[Token]
Pattern Matching (replaces isinstance chains)
// Python: if isinstance(value, str): ...
// Scala:
value match {
case s: String => ...
case i: Int => ...
case _ => ...
}
String Interpolation
// Python: f"{value:.6f}" -> Scala: f"$value%.6f" or s"$value"
Companion Objects
// Factory methods, constants go in companion objects
object TemporalTokenizer {
val IsoFormat = "yyyy-MM-dd'T'HH:mm:ss"
val DateFormat = "yyyy-MM-dd"
}
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.
- 3d ago First seen · 46 lines · 24 tokens per session scan A 5309a89083fe
python-scala-idioms is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 299 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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