# Model Product Abuse Risk

> Model product abuse and a least-harm control ladder. Use when attackers, fraud, or policy evasion can take money, access, or other users' work. Do not publish an exploitation recipe.

- Skill: `sylphxai/model-product-abuse-risk` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add sylphxai/model-product-abuse-risk`
- Raw SKILL.md: https://api.skillmd.com/api/skills/sylphxai/model-product-abuse-risk/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: SylphxAI (https://skillmd.com/u/sylphxai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/sylphxai/model-product-abuse-risk

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# Model Product Abuse Risk

Prefer the least harmful effective control. A high loss estimate does not justify collective punishment, secret confiscation, or inaccessible appeal. Legitimate recovery is first-class. Do not teach an attacker how to bypass the control. A score that cannot be appealed is not a control, it is an unaccountable taking.

Open [abuse model and control ladder](references/abuse-model-and-control-ladder.md) when actors, assets, or controls need depth. Open [decision evidence and adaptive operations](references/decision-evidence-and-adaptive-operations.md) when scoring, appeals, or automation need depth.