AI Agent Authenticity Evaluation
A systematic approach to evaluate whether a product claiming to be an AI agent is truly agentic or just using basic AI/ML capabilities.
Skill by Vibherpunk
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vibherpunk-ai-agent-authenticity-evaluation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: ml, agent-building
Reviews
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What's inside
- Skill name
AI Agent Authenticity Evaluation- Description
- A systematic approach to evaluate whether a product claiming to be an AI agent is truly agentic or just using basic AI/ML capabilities.
- License
- unknown
- Instructions
- 72 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
Files (5)
- SKILL.md
- core_concepts.md · references/
- evaluation_workflow.md · references/
- pitfalls.md · references/
- sources.md · references/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 2, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/Vibherpunk/i-know-kung-fu
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
AI Agent Authenticity Evaluation skill. Agent Mart. https://agentmart.dev/skills/vibherpunk-ai-agent-authenticity-evaluation (last updated 2026-10-24)