Automates code quality assessment by collecting changes and running AI evaluations.

Install

mkdir -p .claude/skills/eval && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17046" && unzip -o skill.zip -d .claude/skills/eval && rm skill.zip

Installs to .claude/skills/eval

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

综合评测技能:先采集SDD流程的代码变更信息,再使用第三方评测模型对代码质量进行评估。当用户需要"综合评测"、"完整评测流程"、"SDD评测"时触发本技能。
78 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Collect code change information from SDD branches
  • Scan target directories for code changes
  • Extract feature_infos and code_blocks for evaluation
  • Perform code quality assessment using third-party models
  • Output evaluation results to console and file

How it works

The skill orchestrates two sub-skills: one to collect code changes from an SDD branch and another to evaluate the code quality using a third-party LLM, then outputs the results.

Inputs & outputs

You give it
User request for '综合评测', '完整评测流程', or 'SDD评测', optionally with a specified directory
You get back
Console output of evaluation progress and results, and a detailed evaluation report file (changes/{FEATURE_DIR}/evalset/result.txt)

When to use eval

  • Evaluate code quality
  • Run SDD code assessment
  • Check code consistency
  • Get automated code review feedback

About eval

Captures code changes within an SDD workflow and utilizes external models to grade code quality, consistency, and correctness. It outputs detailed metrics and improvement suggestions.

综合评测技能:先采集SDD流程的代码变更信息,再使用第三方评测模型对代码质量进行评估。当用户需要"综合评测"、"完整评测流程"、"SDD评测"时触发本技能。

When not to use it

  • When the user does not need a complete evaluation
  • When the user does not need a complete SDD evaluation process
  • When the user does not need SDD evaluation

Prerequisites

Python environment with requests, jinja2, loguru packagesAccess to LLM API endpoint/eval-collector skill/eval-evaluator skill

Limitations

  • The skill requires a git repository and a valid SDD branch
  • The skill requires a configured LLM API access
  • The skill's evaluation process may take several minutes

How it compares

This skill provides an integrated, automated code quality assessment within an SDD workflow, unlike manual code reviews.

Compared to similar skills

eval side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
eval (this skill)03moReviewIntermediate
python-testing-patterns772moReviewIntermediate
dependency-upgrade265moReviewIntermediate
test-cases577moNo flagsBeginner

Try saying

Example prompts that trigger this skill in your AI assistant.

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