review-coding-agent-design

Review coding-agent design documents and code for complexity, consistency, and evidence-backed risks.

1|Updated May 15, 2026
One-click install
npx skills add https://github.com/c2kaka/fancy-skills --skill review-coding-agent-design-c2kaka
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-coding-agent-design
Source: https://github.com/c2kaka/fancy-skills/tree/main/skills/review-coding-agent-design
Command: npx skills add https://github.com/c2kaka/fancy-skills --skill review-coding-agent-design-c2kaka

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Agent-generated designs and code can look fluent while hiding structural defects: invented semantics, design-to-code contradictions, shallow abstractions, and unverified claims. This Skill provides a disciplined, read-only review workflow that judges whether a design and its implementation actually reduce lifecycle complexity. ## Core Features & Use Cases - Design-to-code traceability: Builds a matrix mapping each design claim to implementation and verification evidence with statuses like implemented, contradicted, or unverified. - Complexity analysis: Evaluates change amplification, cognitive load, module depth, information leakage, and error semantics using a documented review model. - Structured review report: Produces severity-ordered findings, a verdict (Approve, Approve with changes, Request redesign, or Insufficient evidence), verification gaps, and open questions. - Use Case: After a coding agent delivers a design document plus a diff, run this Skill to confirm the code fulfills the documented claims, detect agent-specific failure modes like invented APIs or swallowed errors, and receive an evidence-backed verdict before approval. ## Quick Start Use the review-coding-agent-design skill to review this design document and its corresponding diff for complexity, alignment, and evidence-backed risks.

Frequently Asked Questions about review-coding-agent-design

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

FAQPage Schema
How do I review AI-generated code and design documents together?▼

Provide the design document and the code or diff, then the review builds a traceability matrix mapping each design claim to implementation and verification evidence. Findings are reported by severity with a final verdict such as Approve, Request redesign, or Insufficient evidence.

What does a design-to-code traceability review check?▼

It checks both directions: promises in the design document that the code does not fulfill, and behavior, state, or failure modes introduced by code but absent from the document. Each material claim gets a status of implemented, partially implemented, contradicted, or unverified.

Can I review only a design document without the code?▼

Yes, but the review is limited to the design itself and will not claim implementation alignment. With only code, the intent is reconstructed from authoritative project sources and explicitly labeled as inferred.

Does this review modify or commit my code?▼

No. The review is read-only by default and does not edit code, commit, push, approve changes, or write to external systems unless you separately request that action.

What failure modes are common in coding-agent output?▼

Typical issues include invented fields or APIs, scope drift across layers, hard-coded heuristics replacing semantic design, swallowed errors, duplicate mechanisms bypassing authoritative paths, and verification claims without reproducible evidence. Each finding must be tied to repository evidence.

When should I use design review instead of change risk review?▼

Use design review when judging structural soundness and design-to-code consistency of agent-produced work. Use change-risk-review when the main goal is classifying the delivery risk of current Git changes before commit.