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sparkgen-guardrail
// Add rules/sets, test guardrails, validate, and manage per-agent overrides
// Add rules/sets, test guardrails, validate, and manage per-agent overrides
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | sparkgen-guardrail |
| description | Add rules/sets, test guardrails, validate, and manage per-agent overrides |
| user_invokable | true |
| auto_invokable | true |
| auto_invoke_hint | Invoke when the user discusses guardrails, content filtering, safety rules, or PII |
| arguments | <add-rule|add-set|test|validate|show|agent-override> [args] |
Manage guardrail rules, sets, and per-agent overrides.
Before any action:
guardrails/default_guardrails.yaml — current rules and setsconfig/ai_workflow.yaml — guardrails: section for active setsls guardrails/agents/ 2>/dev/nullcurl -sf http://localhost:8000/v1/guardrails -H "X-API-Key: ${API_KEY:-dev-local-key}"/sparkgen-guardrail show)Display active guardrails:
/sparkgen-guardrail add-rule <set-name> <rule-name>)Add a new rule to guardrails/default_guardrails.yaml:
- name: <rule-name>
type: <input|output|both>
description: "<what this rule checks>"
action: <block|warn|redact>
patterns:
- "<regex pattern>"
test_cases:
- input: "<test input that should trigger>"
expected: <block|warn|redact>
- input: "<test input that should pass>"
expected: pass
Then run: python -m app.guardrails.test_runner --defaults guardrails/default_guardrails.yaml
/sparkgen-guardrail add-set <set-name>)Create a new guardrail set in guardrails/default_guardrails.yaml with an initial set of rules.
Optionally add it to guardrails.apply_sets in config/ai_workflow.yaml to activate globally.
/sparkgen-guardrail test [input-text])If server is running:
curl -s -X POST http://localhost:8000/v1/guardrails/test \
-H "Content-Type: application/json" \
-H "X-API-Key: ${API_KEY:-dev-local-key}" \
-d '{"input": "<text to test>"}'
Otherwise run the test runner:
python -m app.guardrails.test_runner --defaults guardrails/default_guardrails.yaml
/sparkgen-guardrail validate)python -m app.guardrails.test_runner --defaults guardrails/default_guardrails.yaml
Report: total rules, test cases passed/failed, any YAML errors.
/sparkgen-guardrail agent-override <agent-name> <set-name>)Update the agent's guardrails.use_sets list in config/ai_workflow.yaml:
agents:
- name: <agent-name>
guardrails:
use_sets:
- platform_defaults
- <set-name> # add this
Optionally create guardrails/agents/<agent-name>.md for agent-specific rule documentation.
Run make validate after changes.