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solution-review

Compare implemented code against task statements and generate review.md findings.

229|201|Updated May 20, 2022
Search Tags:#documentation#review#code-review#diff-analysis#regression-detection#review-summary#task-artifacts
One-click install
npx skills add https://github.com/blockscout/blockscout-rs --skill solution-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: solution-review
Source: https://github.com/blockscout/blockscout-rs/tree/main/interchain-indexer/.cursor/skills/solution-review
Command: npx skills add https://github.com/blockscout/blockscout-rs --skill solution-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps reviewers verify that code changes faithfully implement the original task, by comparing against the task statement and artifacts and producing a structured review before handoff or merge.

Core Features & Use Cases

  • Compare implemented changes to the original task and related artifacts (task.md, solution_X.md, implementation-plan-X.md, coding-task-X.md).
  • Identify coverage gaps, regressions, and mismatches, and document evidence with file paths.
  • Generate a concise review summary (review.md) to accompany handoff or pull request.

Quick Start

Run the review workflow on the target task folder and generate a concise summary in review.md.

Frequently Asked Questions about solution-review

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

FAQPage Schema
How do I verify code changes align with the original task statement before a pull request?▼

Code review and diff analysis validate implemented changes against task.md and solution artifacts by detecting coverage gaps and regressions. The process generates a structured review.md artifact documenting evidence-based conclusions and recommendations for pull requests.

What is the best way to detect coverage gaps and missing acceptance criteria in code handoffs?▼

Detecting coverage gaps and missing acceptance criteria requires comparing implemented code against task.md and solution artifacts to find discrepancies. This enforces evidence-based findings with file paths to ensure complete task coverage before merging.

Can I generate a review summary from task.md and solution artifacts for post-implementation reviews?▼

Yes, you can generate a concise review summary by comparing task.md and solution artifacts during post-implementation reviews. This documents regressions and produces a final review.md artifact with conclusions for pull requests.

Does regression detection work with tmp/tasks folders containing multiple solution files?▼

Regression detection works by comparing task.md, solution_X.md, and related artifacts within tmp/tasks/<task-name>/ folders. It identifies mismatches between implemented code and original task statements to detect regressions across multiple solution files.

How do I document evidence-based findings with file paths during a diff analysis?▼

Documenting evidence-based findings during diff analysis requires comparing implemented changes against task statements and including specific file paths for every discrepancy. This generates a structured review.md artifact recording conclusions and recommendations for code reviews.

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