Where are the evidence artifacts stored?

All evidence, reports, and run-specific data are stored in specific paths within the 'artifacts/' directory for easy reference and auditing.

What is the evidence-first standard in this skill?

The evidence-first standard requires the AI to provide artifacts and reports as proof of completion rather than relying on narrative descriptions of its actions.

How does the skill handle security risks?

It implements a 'negative suite' that explicitly tests risky paths such as unauthorized access, bad signatures, and validation errors to ensure safety.

Can this skill access previous task history?

Yes, it utilizes the mova_search_episodes_v0 tool for read-only lookups of previous episodes to maintain historical context and evidence consistency.

MOVA Evidence & Proof Verification

Name: MOVA Evidence & Proof Verification
Author: Leryk1981

byLeryk1981

安全与测试

Generates deterministic evidence-first reports and proof kits for safe, verifiable code modifications and security audits.

关于

The MOVA Evidence & Proof skill implements a rigorous evidence-first standard for Claude Code, ensuring that all AI-driven changes are backed by verifiable artifacts rather than narrative claims. It specializes in assembling comprehensive 'proof kits' that include safety justifications and negative test suites—covering scenarios like unauthorized access, bad signatures, and validation errors—to provide high-confidence delivery for high-risk development tasks.

主要功能

Artifact-based reporting and evidence tracking via file paths
0 GitHub stars
Automated proof kit assembly with safety justifications
Historical episode lookups for cross-session verification
Comprehensive negative suite testing for risky execution paths
Deterministic evidence-first delivery standards

使用场景

Generating audit-ready evidence for automated security patches
Ensuring deterministic outcomes in automated CI/CD workflows
Validating high-risk system changes with explicit proof of safety

关于

主要功能

Artifact-based reporting and evidence tracking via file paths
0 GitHub stars
Automated proof kit assembly with safety justifications
Historical episode lookups for cross-session verification
Comprehensive negative suite testing for risky execution paths
Deterministic evidence-first delivery standards

使用场景

Generating audit-ready evidence for automated security patches
Ensuring deterministic outcomes in automated CI/CD workflows
Validating high-risk system changes with explicit proof of safety