SkillsBench is a benchmark for measuring how effectively AI agents use modular skills—folders containing instructions, scripts, and resources—to complete specialized tasks. It helps researchers and developers evaluate both skill quality and agent behavior, including tasks that require combining multiple skills. The catalogue’s skills and instructions are evaluated as part of this workflow.
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 benchflow-ai/skillsbench --skill python-scala-idiomsgit clone --depth 1 https://github.com/benchflow-ai/skillsbenchWrote 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/benchflow-ai/skillsbench/python-scala-idioms)<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/python-scala-idioms"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/python-scala-idioms/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/python-scala-idioms"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/python-scala-idioms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.02040 |
| Opus 5 | $0.00028 | $0.01020 |
| Sonnet 5 | $0.00011 | $0.00408 |
| Haiku 4.5 | $0.00006 | $0.00204 |
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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- python-scala-idioms — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python to Idiomatic Scala Translation
Core Principles
When translating Python to Scala, aim for idiomatic Scala, not literal translation:
- Prefer immutability - Use
valovervar, immutable collections - Expression-based - Everything returns a value, minimize statements
- Type safety - Leverage Scala's type system, avoid
Any - Pattern matching - Use instead of if-else chains
- Avoid null - Use
Option,Either,Try
Immutability First
# Python - mutable by default
class Counter:
def __init__(self):
self.count = 0
def increment(self):
self.count += 1
return self.count
// Scala - immutable approach
case class Counter(count: Int = 0) {
def increment: Counter = copy(count = count + 1)
}
// Usage
val c1 = Counter()
val c2 = c1.increment // Counter(1)
val c3 = c2.increment // Counter(2)
// c1 is still Counter(0)
Expression-Based Style
# Python - statement-based
def get_status(code):
if code == 200:
status = "OK"
elif code == 404:
status = "Not Found"
else:
status = "Unknown"
return status
// Scala - expression-based
def getStatus(code: Int): String = code match {
case 200 => "OK"
case 404 => "Not Found"
case _ => "Unknown"
}
// No intermediate variable, match is an expression
Sealed Hierarchies for Domain Modeling
# Python - loose typing
def process_payment(method: str, amount: float):
if method == "credit":
# process credit
pass
elif method == "debit":
# process debit
pass
elif method == "crypto":
# process crypto
pass
// Scala - sealed trait for exhaustive matching
sealed trait PaymentMethod
case class CreditCard(number: String, expiry: String) extends PaymentMethod
case class DebitCard(number: String) extends PaymentMethod
case class Crypto(walletAddress: String) extends PaymentMethod
def processPayment(method: PaymentMethod, amount: Double): Unit = method match {
case CreditCard(num, exp) => // process credit
case DebitCard(num) => // process debit
case Crypto(addr) => // process crypto
}
// Compiler warns if you miss a case!
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.
- 9d ago First seen · 340 lines · 56 tokens per session scan A fda000e8ebe0
python-scala-idioms is a skill published in the GitHub repository benchflow-ai/skillsbench (1,764 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 2,040 once invoked, about $0.0003 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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