Use when you want to prevent .skip(), .only(), xit(), and xdescribe() from being committed to test files. Activate with /no-skip for session-scoped test skip prevention.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
When activated, blocks any write that adds test-skipping patterns to test files.
Prevents these patterns from being written to test files:
.skip() — skips individual tests.only() — runs only one test (excludes all others)xit( / xdescribe( — Jasmine skip syntaxtest.todo( — unimplemented test placeholders@Skip / @Disabled — JUnit skip annotations/no-skip
{
"hooks": {
"PreToolUse": [
{
"matcher": "Write|Edit",
"hook": ".claude/skills/no-skip/scripts/check-skips.sh",
"condition": "file matches **/*.test.{ts,js,tsx,jsx} OR **/*.spec.{ts,js}"
}
]
}
}
#!/bin/bash
# check-skips.sh
CONTENT="$1"
SKIP_PATTERNS=(
'\.skip\s*\('
'\.only\s*\('
'\bxit\s*\('
'\bxdescribe\s*\('
'\bxcontext\s*\('
'test\.todo\s*\('
'@Skip'
'@Disabled'
'@Ignore'
)
for pattern in "${SKIP_PATTERNS[@]}"; do
if echo "$CONTENT" | grep -qP "$pattern"; then
echo "BLOCKED: Found skip pattern '$pattern'"
echo "Remove the skip and either fix the test or delete it."
exit 1
fi
done
grep -r '.skip(' tests/ to find existing skips.only() is sometimes used intentionally during debugging — deactivate with /no-skip off if neededpending() instead of .skip() — add to patterns if using Jasmineまだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
日本語の概要は準備中です。原文の説明を表示しています。
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
日本語の概要は準備中です。原文の説明を表示しています。
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
日本語の概要は準備中です。原文の説明を表示しています。