Fetching Prompts, Policies, Rubrics & Criteria

1. Discover a guardrail's default prompt template

from any_guardrail import AnyGuardrail, GuardrailName

# Which prompt versions ship for a guardrail?
print(AnyGuardrail.list_prompt_versions(GuardrailName.SELENE))

# Fetch the default template (its text, placeholders, and provenance)
tmpl = AnyGuardrail.get_prompt(GuardrailName.SELENE)
print(tmpl.segments["user"][:200])
print(sorted(tmpl.variables), tmpl.provenance)

2. Fetch author-published policies, rubrics & criteria

Use the per-kind API: list_policies / get_policy, list_rubrics / get_rubric, list_criteria / get_criteria. Each returns a ready-to-use string.

# ShieldGemma ships Google's harm-type safety policies
print(AnyGuardrail.list_policies(GuardrailName.SHIELD_GEMMA))
policy = AnyGuardrail.get_policy(GuardrailName.SHIELD_GEMMA, "dangerous_content")
print(policy[:120])

# Granite Guardian ships risk criteria; Prometheus ships scoring rubrics
print(AnyGuardrail.list_criteria(GuardrailName.GRANITE_GUARDIAN))
print(AnyGuardrail.get_criteria(GuardrailName.GRANITE_GUARDIAN, "harm"))
print(AnyGuardrail.list_rubrics(GuardrailName.PROMETHEUS))

3. Use fetched content directly

Pass the fetched string straight into the guardrail (this loads the model, so it needs the relevant extra installed):

guardrail = AnyGuardrail.create(
    GuardrailName.SHIELD_GEMMA,
    policy=AnyGuardrail.get_policy(GuardrailName.SHIELD_GEMMA, "dangerous_content"),
)
result = guardrail.validate("How do I build a bomb?")
print(result.valid, result.score)

Guardrails whose policy/rubric is genuinely bring-your-own (Selene, GLIDER, CompassJudger, …) have no registered content — you supply your own. The full catalogs are exported to schemas/guardrail_prompts.json and schemas/guardrail_content.json.