# 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.

- Skill: `agentskillexchange/preflight-agent-specs-for-prompt-injection-risk-across-promp` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/preflight-agent-specs-for-prompt-injection-risk-across-promp`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/preflight-agent-specs-for-prompt-injection-risk-across-promp/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/preflight-agent-specs-for-prompt-injection-risk-across-promp

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# 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.

## Prerequisites

Python 3, pipx or uv optional

## Installation

Use the upstream install or setup path that matches your environment:
- pipx install https://github.com/cybozu/prompt-hardener/releases/download/v0.6.0/prompt_hardener-0.6.0-py3-none-any.whl
- Recommended if you already use uv for Python tooling.
- uv tool install https://github.com/cybozu/prompt-hardener/releases/download/v0.6.0/prompt_hardener-0.6.0-py3-none-any.whl
- pip install https://github.com/cybozu/prompt-hardener/releases/download/v0.6.0/prompt_hardener-0.6.0-py3-none-any.whl

Requirements and caveats from upstream:
- **Deterministic first**: init, validate, analyze, report, and diff do not require an LLM API key
- Use this if you prefer a standard Python environment.

Basic usage or getting-started notes:
- run deterministic security analysis across prompt, tool, and architecture layers
- Choose the installation method that fits how you want to use Prompt Hardener.
- ### Using [pipx](https://pipx.pypa.io/)

- Source: https://github.com/cybozu/prompt-hardener
- Extracted from upstream docs: https://raw.githubusercontent.com/cybozu/prompt-hardener/HEAD/README.md

## Documentation

- https://github.com/cybozu/prompt-hardener

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/preflight-agent-specs-for-prompt-injection-risk-across-prompt-tool-and-architecture-layers-with-prompt-hardener/)