Analyze product trust signals for permissions, privacy, billing, and silent failures.
npx skills add https://github.com/carlkibler/agent-skills --skill trust-audit
Please help me install this Agent Skill. Skill: trust-audit Source: https://github.com/carlkibler/agent-skills/tree/main/skills/trust-audit Command: npx skills add https://github.com/carlkibler/agent-skills --skill trust-audit
This Skill helps evaluate whether a product or feature feels trustworthy or unsafe by analyzing permissions, privacy, billing, and silent failure signals.
Use the trust-audit skill to analyze a new feature for potential trust problems and receive actionable insights.
High-intent search queries and answers about installing and using this skill.
Assess product trustworthiness by analyzing trust signals related to permissions, data flow, and billing. This process detects perception risks and generates concrete repair suggestions to improve user confidence prior to launch.
A trust surface analysis reviews permissions, file mutations, billing, and degraded states to detect trust issues. It identifies vulnerabilities in user perception, data handling, and fault tolerance to mitigate potential privacy risks.
Identify privacy and perception risks by evaluating silent failure signals and data handling practices. The audit generates concrete trust risks complete with severity ratings and actionable repair suggestions for software teams.
Yes, you can use a trust audit for pre-launch privacy reviews. It is ideal for product teams conducting assessments, pointing out potential issues in file safety and user perception that affect overall confidence.
Mitigate silent failure risks by analyzing fault tolerance and degraded states within the product. This approach identifies specific vulnerabilities in user perception and generates repair suggestions to prevent unnoticed data loss.
Conduct a trust risk assessment when developing new features that involve permissions, billing, or file mutations. It helps identify perception risks early and provides repair suggestions before the product reaches users.
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