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agent-native-reviewer

Detect disparities between UI actions and agent-accessible tools in application code.

Updated Aug 23, 2026
Search Tags:#code review#audit#tooling#system-prompt#context-injection#agent-native#agent-parity
One-click install
npx skills add https://github.com/xbpk3t/ce-codex --skill agent-native-reviewer-xbpk3t
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-native-reviewer
Source: https://github.com/xbpk3t/ce-codex/tree/main/skills/agent-native-reviewer
Command: npx skills add https://github.com/xbpk3t/ce-codex --skill agent-native-reviewer-xbpk3t

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies gaps where user-facing actions lack equivalent agent tools or where agents lack the runtime context and workspace access necessary to perform the same tasks as users, enabling teams to make agents first-class citizens in their applications.

Core Features & Use Cases

  • Action Parity Mapping: Cross-reference UI actions against registered agent tools to find missing or mismatched capabilities.
  • Context Parity Checks: Verify system prompt construction and runtime context injection so agents see the same data and vocabulary as users.
  • Tool Design Review: Flag workflow tools, recommend primitive APIs, and surface anti-patterns such as sandbox isolation or silent state mutations.
  • Use Case: Run this review on PRs that add UI features or modify system prompts to ensure incremental parity and reduce orphaned functionality.

Quick Start

Run an agent-native parity review on the changed files and list missing agent tools, context injection gaps, workspace isolation issues, and prioritized remediation steps.

Frequently Asked Questions about agent-native-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my agent tools match user-facing UI capabilities?▼

To check if agent tools match UI capabilities, cross-reference user-facing actions against registered agent tools to detect missing or mismatched functionality. This action parity mapping ensures agents can perform equivalent tasks as users.

What is agent-native parity in system prompt construction?▼

Agent-native parity in system prompt construction means verifying runtime context injection so agents receive the same data and vocabulary as users. Context parity checks identify gaps where agents lack necessary workspace access.

How do I review agent tool design for workflow anti-patterns?▼

Review agent tool design for workflow anti-patterns by flagging workflow tools and recommending primitive APIs instead. Surface issues like sandbox isolation or silent state mutations that degrade agent performance.

Does this code review approach work with Vercel AI SDK and LangChain?▼

Yes, this code review approach works with Vercel AI SDK and LangChain. It reviews tool registries and system prompts across server and frontend stacks to ensure agents match user capabilities.

When should I run an agent-native parity review?▼

Run an agent-native parity review on pull requests that add new UI features or modify system prompts. This ensures incremental parity and reduces orphaned functionality as your application evolves.

What are common tool design anti-patterns in agent integrations?▼

Common tool design anti-patterns in agent integrations include sandbox isolation issues, silent state mutations, and using workflow tools instead of primitive APIs. Identifying these gaps guides prioritized engineering fixes.

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