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 agentmods add commands/seancrowe01/ads-machine/ad-swipegit 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.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00901 |
| Opus 5 | $0.00017 | $0.00451 |
| Sonnet 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 5d 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.
- 5d 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 (20 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 901 once invoked, about $0.0002 per session on Opus 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.
Other commands, from other repositories
organic-performance-audit
Comprehensive audit of your organic search performance using Google Search Console data. Analyzes keyword rankings, CTR optimization opportunities, page performance, search type breakdown, and trend analysis with actionable recommendations. (requires Pro subscription).
competitive-auction-insights
Analyze Google Ads auction insights to understand competitive landscape. See who you're competing against and where you're winning or losing. (requires Pro subscription).
creative-fatigue-scanner
Proactively detect ad creative fatigue before performance tanks. Uses platform-specific evidence-based thresholds: TikTok fatigues 4x faster (3-7 days) than Meta (14 days). Google Ads uses asset ratings (4-8 weeks). LinkedIn has longest cycles (4-6 weeks). (requires Pro subscription).
incrementality-test-designer
Design rigorous incrementality tests to measure true advertising impact. Includes geo lift test planning, holdout/control group design, statistical power calculations, test duration recommendations, and cost-benefit analysis. Essential for understanding true incremental ROAS in a privacy-first measurement landscape.…
channel-strategy-advisor
AI-powered channel selection advisor that matches campaign objectives with optimal platform mix. Analyzes audience fit, platform strengths, funnel stage requirements, and budget constraints to recommend the ideal channel strategy. Includes budget allocation suggestions and expected performance benchmarks per channel.…
account-health-scoring
Get a 0-100 health score for each account with prioritized issue list and quick win recommendations. Perfect for managing large portfolios. (requires Pro subscription).