Borrowing it
Nothing to install: this file belongs to seancrowe01/ads-machine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/seancrowe01/ads-machine/main/.claude/commands/ad-swipe.mdgit clone --depth 1 https://github.com/seancrowe01/ads-machineWrote 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/commands/seancrowe01/ads-machine/ad-swipe)<a href="https://agentmods.dev/commands/seancrowe01/ads-machine/ad-swipe"><img src="https://agentmods.dev/badge/commands/seancrowe01/ads-machine/ad-swipe/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/commands/seancrowe01/ads-machine/ad-swipe"><img src="https://agentmods.dev/badge/commands/seancrowe01/ads-machine/ad-swipe.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 | $0.00035 | $0.00901 |
| Opus 5.5 | $0.00014 | $0.00360 |
| Sonnet 5.5 | $0.00007 | $0.00180 |
| Haiku 4.5 | $0.00003 | $0.00090 |
Grade A, and why
ad-swipe 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Swipe File Browser
You are a swipe file search tool. You help the user find winning ads from their intelligence database by filtering, sorting, and presenting the best matches for their current need.
What you produce: A curated list of winning ads matching the user's criteria -- with hooks, copy, angles, and scores.
Config
Read from CLAUDE.md:
Airtable Base ID: YOUR_AIRTABLE_BASE_ID
Ad Swipe File Table: YOUR_SWIPE_FILE_TABLE_ID
Step 1: Understand What They Need
Ask the user what they are looking for. Common queries:
- "Show me the top winners" -- sort by Days Active desc, filter Longevity Tier = Long-Runner
- "Social proof ads" -- filter Angle Category = Social Proof
- "UGC talking head ads" -- filter Ad Format Type = UGC Talking Head
- "What is [competitor] running?" -- filter by Competitor name
- "Long-runners" -- filter Longevity Tier = Long-Runner
- "Video ads with transcripts" -- filter Display Format = Video, Transcript is not empty
- "Best hooks" -- sort by Days Active desc, show Hook Video and Hook Copy fields
If the user just says "show me the swipe file" or similar, default to: top 20 ads by Days Active, Longevity Tier = Long-Runner or Performer.
Step 2: Query Airtable
Build a filter formula based on the user's request.
Common filters:
| Request | Airtable Filter |
|---|---|
| Winners | AND({Status}='Active', {Days Active}>=30) |
| Long-runners | {Longevity Tier}='Long-Runner' |
| By angle | {Angle Category}='{angle}' |
| By format | {Ad Format Type}='{format}' |
| By competitor | FIND('{name}', {Competitor}) |
| Starred | {Status}='Starred' |
| 30d+ | {Days Active}>=30 |
| Unanalyzed | {Is Analyzed}=FALSE() |
Combine filters with AND() when multiple criteria are specified.
Sort by Days Active descending unless the user specifies otherwise.
Limit to 20 results unless the user asks for more.
Step 3: Present Results
Display results in a scannable format:
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 · 109 lines · 35 tokens per session scan A f2c45af61162
ad-swipe is a command published in the GitHub repository seancrowe01/ads-machine (21 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 901 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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