Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
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。
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
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。
This skill randomly selects winners from lists, spreadsheets, or Google Sheets for giveaways and contests.
Pick a random row from this Google Sheet to select a winner
for a giveaway: [Sheet URL]
Pick 3 random winners from entries.csv
Pick a random winner from this list:
- Alice (alice@email.com)
- Bob (bob@email.com)
- Carol (carol@email.com)
...
Pick 5 random winners from contest-entries.xlsx,
make sure no duplicates
User: "Pick a random row from this Google Sheet to select a winner for a giveaway."
Output:
Accessing Google Sheet...
Total entries found: 247
Randomly selecting winner...
🎉 WINNER SELECTED! 🎉
Row #142
Name: Sarah Johnson
Email: sarah.j@email.com
Entry Date: March 10, 2024
Comment: "Love your newsletter!"
Selection method: Cryptographically random
Timestamp: 2024-03-15 14:32:18 UTC
Would you like to:
- Pick another winner (excluding Sarah)?
- Export winner details?
- Pick runner-ups?
Inspired by: Lenny's use case - picking a Sora 2 giveaway winner from his subscriber Slack community
Pick a random winner excluding previous winners:
Alice, Bob, Carol
Pick a winner with weighted probability based on
the "entries" column (1 entry = 1 ticket)
Pick 1 winner and 3 runner-ups from the list
✓ Uses cryptographically secure randomness ✓ No manipulation possible ✓ Timestamp recorded for verification ✓ Can provide seed for third-party verification ✓ Respects data privacy
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。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
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。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
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。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
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。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
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。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
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。