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-librariesgit 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-libraries)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/python-scala-libraries"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/python-scala-libraries.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 | $0.00325 |
| Opus 5 | $0.00012 | $0.00162 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
python-scala-libraries scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Python to Scala Libraries and Specialized Types
This skill covers the translation of library-specific functionality.
Datetime
- Python:
datetime.datetime,datetime.date. - Scala:
java.time.LocalDateTime,java.time.LocalDate. - Formatting:
java.time.format.DateTimeFormatter.
| Python | Scala |
|---|---|
dt.strftime("%Y-%m-%d") |
dt.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")) |
datetime.now() |
LocalDateTime.now() |
Decimal
- Python:
decimal.Decimal. - Scala:
BigDecimal. - Formatting:
f"$decimal%.2f".
JSON (Circe)
- Python:
json.dumps(obj),json.loads(str). - Scala (Circe):
obj.asJson.noSpaces,parse(str). - Recursive JSON: Use
io.circe.Jsonfor a safe representation.
Error Handling
- Python:
try...except,raise RuntimeError. - Scala:
Try[T](Success/Failure),Either[L, R]. - Runtime Error:
throw new RuntimeException("...").
import scala.util.Try
val result = Try(operation()) // Success(v) or Failure(e)
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 · 38 lines · 24 tokens per session scan A 208b793bbb6e
python-scala-libraries 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 325 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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