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 squadcodercom/squadcoder --skill snapchat-adsgit clone --depth 1 https://github.com/squadcodercom/squadcoderWrote 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/squadcodercom/squadcoder/snapchat-ads)<a href="https://agentmods.dev/skills/squadcodercom/squadcoder/snapchat-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/snapchat-ads/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/squadcodercom/squadcoder/snapchat-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/snapchat-ads.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 | $0.00182 | $0.03944 |
| Opus 5.5 | $0.00073 | $0.01578 |
| Sonnet 5.5 | $0.00036 | $0.00789 |
| Haiku 4.5 | $0.00018 | $0.00394 |
Grade A, and why
snapchat-ads 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Snapchat Ads — Pro Playbook
A practical, current playbook for running performance and brand campaigns in Snapchat Ads Manager. Snapchat is a vertical, full-screen, sound-on, camera-native platform skewing Gen Z and younger Millennials (~13–34 is the core, with a huge 18–24 base). Creative is consumed in fast, swipe-driven bursts — the platform rewards native, authentic, fast-hook content over polished "TV" ads.
Use this when the user asks to plan, build, audit, or scale Snapchat advertising, write Snap creative, set up Snap Pixel / Conversions API, build audiences, or design AR Lens/Filter campaigns.
1. Account & Campaign Structure
Hierarchy: Ad Account → Campaign → Ad Squad (ad set) → Ad. (Snap calls the ad-set level an "Ad Squad.")
Objective is chosen at the campaign level. Pick by funnel stage:
- Awareness & Engagement
- Awareness — maximize reach/impressions; brand lift.
- Promote Places — drive local foot traffic.
- Traffic — clicks/swipe-ups to a site or app.
- Engagement — video views, lens/filter engagement, story opens.
- Leads — on-Snap Lead Generation (instant forms) or off-platform lead conversions.
- App Promotion — installs and in-app events (via MMP/SDK: AppsFlyer, Adjust, Singular, Branch, Kochava).
- Sales / Conversions — website purchases & funnel events via Snap Pixel; or Catalog Sales (Dynamic Ads) from a product feed.
Structure principles
- One objective per campaign. Don't mix prospecting and retargeting in the same campaign.
- Ad Squad = one audience + placement + optimization goal + bid. Keep squads tightly themed so the algorithm learns cleanly.
- Don't over-fragment. Too many tiny squads splits the data and starves the learning phase. Consolidate audiences where overlap is high; use broad targeting and let Snap's optimization find buyers.
- Catalog / Dynamic Ads for ecommerce with many SKUs — retarget viewers and prospect with product feeds instead of hand-built static ads.
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 · 204 lines · 182 tokens per session scan A 1197ef39a58e
snapchat-ads is a skill published in the GitHub repository squadcodercom/squadcoder (12 stars, last pushed 3mo ago), licensed MIT. It adds 182 tokens to every session and 3,944 once invoked, about $0.0007 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 2026-09-03.
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