Test fixture
Secure code changes, vulnerability recognition, and safe defaults.
The model receives the prompt (and optional system message). The run uses scorer contains_any with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.
Is this secure? Explain briefly: session token = str(random.randint(1000,9999))
{
"expected_contains": [
"predictable",
"secure random",
"secrets"
]
}temperature
0
max_tokens
120
timeout (s)
120
type
scored
file
security_easy_04.json