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Josh98 Nl2bash M

ASecurity

Compute Josh98/nl2bash_m via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of Josh98/nl2bash_m.

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  • Added September 11, 2026
developmentpythonbash

Security analysis

A100/100

Scanned September 11, 2026

npx -y skills add qhjqhj00/research-skills-pool --skill josh98-nl2bash-m --agent claude-code

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SKILL.md
---
name: josh98-nl2bash-m
description: Compute Josh98/nl2bash_m via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of Josh98/nl2bash_m.
metadata:
  skill_kind: metric
  source_lib: huggingface-evaluate
  hf_module: Josh98/nl2bash_m
  source: library_introspection
---

# josh98-nl2bash-m

> Metric `Josh98/nl2bash_m` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `Josh98/nl2bash_m` or wants HF evaluate's canonical version.

## Recipe

```python
import evaluate
metric = evaluate.load("Josh98/nl2bash_m")
result = metric.compute(predictions=preds, references=refs)
print(result)
```

## Don'ts

- Don't assume your in-house `Josh98/nl2bash_m` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.

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