code-review

Engineering Verified v1.0.0
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Engineering · code · review · quality
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
98 / 100 · audit passed
Author / version / license
@RTGS2017 · v1.0.0 · no license declared
Token usage
Lean
Setup complexity
Plug-and-play
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
Python
Permissions
  • Read-only
  • Write / modify
Network behavior
Local-only
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Output preview code-review-rtgs2017.preview
---
name: code-review
description: 本技能提供专业的代码审查能力,帮助发现潜在问题并提供改进建议。 用户: "帮我审查这段 Python 代码" → 加载此技能,按照上述流程进行代码审查 runs entirely locall…
category: engineering
runtime: Python
---

# code-review output preview

## PART A: Task fit
- Use case: 本技能提供专业的代码审查能力,帮助发现潜在问题并提供改进建议。 用户: "帮我审查这段 Python 代码" → 加载此技能,按照上述流程进行代码审查 runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “审查维度 / 1. 代码质量 / 2. 潜在问题” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “本技能提供专业的代码审查能力,帮助发现潜在问题并提供改进建议。 用户: "帮我审查这段 Python 代码" → 加载此技能,按照上述流程进行代码审查 runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “审查维度 / 1. 代码质量 / 2. 潜在问题” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: 本技能提供专业的代码审查能力,帮助发现潜在问题并提供改进建议。 1. 代码质量 可读性: 命名规范、注释完整性、代码结构 可维护性: 模块化程度、耦合度、复杂度 一致性: 代码风格、设计模式使用 2. 潜在问题 Bug 风险: 空指针、边界条件、异常处理…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “审查维度”, “1. 代码质量”, “2. 潜在问题”, “3. 最佳实践”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name code-review directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “审查维度 / 1. 代码质量 / 2. 潜在问题” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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