Skill Detail
Preflight agent specs for prompt-injection risk across prompt, tool, and architecture layers with Prompt Hardener
Describe an agent in `agent_spec.yaml`, run deterministic prompt-injection analysis, generate mitigations, and validate defenses before rollout.
Security & VerificationMulti-Framework
Security & Verification
Multi-Framework
Security Reviewed
โญ 50 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill preflight-agent-specs-for-prompt-injection-risk-across-prompt-tool-and-architecture-layers-with-prompt-hardener
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python 3, pipx or uv optional
Install & setup
Install from the published wheel with `pipx install https://github.com/cybozu/prompt-hardener/releases/download/v0.6.0/prompt_hardener-0.6.0-py3-none-any.whl` or use `uv tool install …`, copy or write `agent_spec.yaml`, then run `prompt-hardener validate agent_spec.yaml` and `prompt-hardener analyze agent_spec.yaml`.
Author
Cybozu
Publisher
Organization
Last updated
Apr 22, 2026
Quick brief
Use Prompt Hardener when you need a structured security review before shipping an agent, RAG flow, tool-calling workflow, or MCP agent. Instead of using a generic security product dashboard, you define the system in `agent_spec.yaml`, run deterministic analysis across prompt, tool, and architecture layers, inspect recommended mitigations, and optionally validate the design with built-in adversarial scenarios. The scope boundary is pre-deployment spec analysis and reporting for prompt-injection risk, not a generic model firewall, runtime platform, or broad agent framework listing.