Verify AI-generated code and files via adversarial multi-agent checks.
npx skills add https://github.com/dnhess/spectra --skill trust-layer
Please help me install this Agent Skill. Skill: trust-layer Source: https://github.com/dnhess/spectra/tree/main/trust-layer Command: npx skills add https://github.com/dnhess/spectra --skill trust-layer
The Trust Layer provides a structured adversarial verification workflow to validate AI-generated code, diffs, and Spectra session artifacts before acceptance, reducing hallucinations, misalignment, and insecure outputs.
Spawn the trust-layer panel for a given artifact and follow the prompts to generate agent findings and a final trust verdict.
High-intent search queries and answers about installing and using this skill.
Adversarial verification checks AI-generated code across package integrity, intent alignment, security, and coherence using multiple agent roles to produce a final trust verdict before acceptance.
Adversarial verification is a structured workflow where multiple agent personas critique AI-generated outputs from different angles, computing a trust score and guardrails to reduce hallucinations and insecure code.
You can audit AI session artifacts by applying four adversarial roles—package-validator, intent-auditor, security-challenger, and coherence-checker—followed by a moderator synthesizing per-agent findings into a final trust score.
Yes, the security audit runs without external dependencies by using internal agent roles to challenge the diff's package integrity, intent alignment, and security posture, yielding a final verdict and guardrails.
The best way to check intent alignment is running an adversarial verification process that includes an intent-auditor role, which critiques the AI output alongside security and coherence checks to produce a unified trust score.
Use multi-agent verification when accepting AI-generated code, diffs, or session artifacts into production, as it reduces hallucinations and misalignment by scrutinizing outputs through package, intent, security, and coherence lenses.
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