Test fixture
Secure code changes, vulnerability recognition, and safe defaults.
The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.
Return JSON only with keys verdict, risk, mitigation. Review dependency risk classification that ignores maintainer activity, install scripts, provenance, and known advisories.
{
"metrics": {
"correct": {
"checks": [
{
"contains": [
"dependency"
]
},
{
"contains": [
"maintainer"
]
},
{
"contains": [
"install script"
]
},
{
"contains": [
"provenance"
]
},
{
"contains": [
"advisory"
]
}
]
},
"hidden": {
"checks": [
{
"contains": [
"license"
]
},
{
"contains": [
"typosquat"
]
},
{
"contains": [
"SBOM"
]
},
{
"contains": [
"lockfile"
]
},
{
"contains": [
"risk"
]
}
]
}
}
}temperature
0
max_tokens
420
timeout (s)
120
type
scored
file
sec-dependency-risk-classifier.json