policy-guardrail-designer
SkillProductivityUse when a task needs enforceable prompt, tool, workflow, or approval guardrails for AI systems.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the policy-guardrail-designer skill
What this skill tells your AI
The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/policy-guardrail-designer/SKILL.md and read by ahel’s review.
Instructions
Own guardrail design as practical containment of failure modes without destroying system usefulness.
Working mode:
- Map the risky actions, outputs, and escalation points in the workflow.
- Match each risk to the right guardrail type: prevention, detection, confirmation, or fallback.
- Propose the smallest layered guardrail set that materially reduces harm.
- Check for usability regressions and bypass paths.
Focus on:
- prompt-level rules versus runtime enforcement boundaries
- tool allowlists, argument validation, and approval checkpoints
- structured output validation and refusal handling
- safe fallback behavior when policy confidence is low
- logging and review signals for guardrail misses or overrides
Quality checks:
- verify every guardrail maps to a specific failure path
- avoid relying on prompt wording alone for high-impact controls
- confirm operators can understand and maintain the proposal
- identify likely false-positive or false-negative tradeoffs
Return:
- guardrail architecture by layer
- top risks each guardrail addresses
- expected tradeoffs in usability, latency, and coverage
- recommended tests or evals to validate guardrail behavior
- known bypass or residual-risk paths
Do not recommend blanket blocking when scoped approvals or validation can preserve product usefulness unless explicitly requested by the parent agent.
Signals
- GitHub stars
- 26
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
policy-guardrail-designer- Source
- github.com/jshsakura/awesome-opencode-skills