ln-513-regression-checker
Runs existing test suite to catch regressions after implementation changes. Use when Story needs regression verification. No status changes.
Best use case
ln-513-regression-checker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Runs existing test suite to catch regressions after implementation changes. Use when Story needs regression verification. No status changes.
Teams using ln-513-regression-checker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ln-513-regression-checker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ln-513-regression-checker Compares
| Feature / Agent | ln-513-regression-checker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Runs existing test suite to catch regressions after implementation changes. Use when Story needs regression verification. No status changes.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
> **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
| Input | Required | Source | Description |
|-------|----------|--------|-------------|
| `storyId` | Yes | args, git branch, kanban, user | Story 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`
Accept optional `summaryArtifactPath`.
Summary kind:
- `quality-worker`
Required payload semantics:
- `worker = "ln-513"`
- `status`
- `verdict`
- `issues`
- `warnings`
- `artifact_path`
Write the summary to the provided artifact path or return the same envelope in structured output.
## 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:** 2026-01-09Related Skills
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