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ln-513-regression-checkerln 513 回归检查器

Agent Skill

ln-513-regression-checker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,970

周安装

119

GitHub Stars

441

下载量

962
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ln-513-regression-checker(ln 513 回归检查器)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-513-regression-checker
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-513-regression-checker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-513-regression-checker

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息检索与筛选。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态及是否涉及联网或文件操作。
  • ln-513-regression-checker 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If shared/ is missing, fetch files via WebFetch from https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}.

Regression Checker

Type: L3 Worker Category: 5XX Quality

Runs the existing test suite to ensure no regressions after implementation changes.

Inputs

InputRequiredSourceDescription
storyIdYesargs, git branch, kanban, userStory to process

Resolution: Story Resolution Chain. Status filter: To Review

Purpose & Scope

  • Detect test framework (pytest/jest/vitest/go test/etc.) and test dirs.
  • Execute full suite; capture stdout/stderr for Story quality gate.
  • Return PASS/FAIL with counts/log excerpts; never modifies Linear or kanban.
  • Preserve full stdout/stderr output for downstream log analysis.

When to Use

  • After code quality checks pass
  • Code quality check passed

Workflow

Phase 0: Resolve Inputs

MANDATORY READ: Load shared/references/input_resolution_pattern.md, shared/references/ci_tool_detection.md

  1. Resolve storyId: Run Story Resolution Chain per guide (status filter: [To Review]).

Phase 1: Execute Tests

MANDATORY READ: Load shared/references/output_normalization.md

Read target project files if they exist: docs/project/infrastructure.md, docs/project/runbook.md

  1. Auto-discover test framework per ci_tool_detection.md Command Registry (Test Frameworks section).
  2. Get service endpoints, port allocation from infrastructure.md. Get exact test commands, Docker setup, environment variables from runbook.md. Runbook commands take priority over auto-detection (per ci_tool_detection.md Discovery Hierarchy).
  3. Build appropriate test command; run with timeout (5min per ci_tool_detection.md); capture stdout/stderr.
  4. Parse results: passed/failed counts; key failing tests.
  5. Normalize + group failures: Apply shared/references/output_normalization.md §1-§3 to test output. Group failing tests by error category (Import/Module, Assertion, Timeout, Type, Connection, Runtime). Report grouped: e.g., "3 Import errors in auth/, 2 Assertion mismatches in payment/".
  6. Output verdict JSON (PASS or FAIL + grouped failures list) and add Linear comment.

Critical Rules

  • No selective test runs; run full suite.
  • Do not fix tests or change status; only report.
  • Language preservation in comment (EN/RU).

Runtime Summary Artifact

MANDATORY READ: Load shared/references/quality_summary_contract.md, shared/references/quality_worker_runtime_contract.md

Runtime profile:

  • family: quality-worker
  • worker: ln-513
  • summary kind: quality-worker
  • payload fields used by coordinators: worker, status, verdict, issues, warnings, artifact_path

Invocation rules:

  • standalone: omit runId and summaryArtifactPath
  • managed: pass both runId and exact summaryArtifactPath
  • always write the validated summary before terminal outcome

Monitor (2.1.98+): For test suite commands expected >30s, use Monitor. Fallback: Bash(run_in_background=true).

Definition of Done

  • Framework detected; command executed
  • Results parsed; verdict produced with failing tests (if any)
  • Linear comment posted with summary

Reference Files

  • Risk-based limits used downstream: shared/references/risk_based_testing_guide.md
  • CI tool detection: shared/references/ci_tool_detection.md
  • Output normalization: shared/references/output_normalization.md
  • Pytest patterns: references/pytest_configuration.md

Version: 3.1.0 Last Updated: 2026-01-09

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.5%
按下载量换算332

Claude

29.02%
按下载量换算279

Cursor

17.17%
按下载量换算165

Gemini CLI

9.52%
按下载量换算92

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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