Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add CommandCodeAI/agent-skills --skill raffle-winner-pickergit clone --depth 1 https://github.com/CommandCodeAI/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/commandcodeai/agent-skills/raffle-winner-picker)<a href="https://agentmods.dev/skills/commandcodeai/agent-skills/raffle-winner-picker"><img src="https://agentmods.dev/badge/skills/commandcodeai/agent-skills/raffle-winner-picker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/commandcodeai/agent-skills/raffle-winner-picker"><img src="https://agentmods.dev/badge/skills/commandcodeai/agent-skills/raffle-winner-picker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00868 |
| Opus 5.5 | $0.00014 | $0.00347 |
| Sonnet 5.5 | $0.00007 | $0.00174 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
raffle-winner-picker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- raffle-winner-picker — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Raffle Winner Picker
This skill randomly selects winners from lists, spreadsheets, or Google Sheets for giveaways and contests.
When to Use This Skill
- Running social media giveaways
- Picking raffle winners at events
- Randomly selecting participants for surveys or tests
- Choosing winners from contest submissions
- Fair distribution of limited spots or resources
- Random team assignments
What This Skill Does
- Random Selection: Uses cryptographically random selection
- Multiple Sources: Works with CSV, Excel, Google Sheets, or plain lists
- Multiple Winners: Can pick one or multiple winners
- Duplicate Prevention: Ensures the same person can't win twice
- Transparent Results: Shows the selection process clearly
- Winner Details: Displays all relevant information about winners
How to Use
From Google Sheets
Pick a random row from this Google Sheet to select a winner
for a giveaway: [Sheet URL]
From Local File
Pick 3 random winners from entries.csv
From List
Pick a random winner from this list:
- Alice ([email protected])
- Bob ([email protected])
- Carol ([email protected])
...
Multiple Winners
Pick 5 random winners from contest-entries.xlsx,
make sure no duplicates
Example
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: [email protected]
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
Features
Fair Selection
- Uses secure random number generation
- No bias or patterns
- Transparent process
- Repeatable with seed (for verification)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 160 lines · 36 tokens per session scan A 3ca742a080f4
raffle-winner-picker is a skill published in the GitHub repository CommandCodeAI/agent-skills (137 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 868 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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