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 canvora/canvora-mcp --skill ad-campaigngit clone --depth 1 https://github.com/canvora/canvora-mcpWrote 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/canvora/canvora-mcp/ad-campaign)<a href="https://agentmods.dev/skills/canvora/canvora-mcp/ad-campaign"><img src="https://agentmods.dev/badge/skills/canvora/canvora-mcp/ad-campaign/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/canvora/canvora-mcp/ad-campaign"><img src="https://agentmods.dev/badge/skills/canvora/canvora-mcp/ad-campaign.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 | $0.00057 | $0.00998 |
| Opus 5.5 | $0.00023 | $0.00399 |
| Sonnet 5.5 | $0.00011 | $0.00200 |
| Haiku 4.5 | $0.00006 | $0.00100 |
Grade A, and why
ad-campaign 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 3d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad creative sets
Ads fail on placement coverage and on having only one creative to test. Canvora
fixes both cheaply: every placement from one source in a single generation,
then variants. The generate loop and credits: see the canvora skill.
Placement map
| Format | Size | Placement |
|---|---|---|
ad_square |
1:1 | feed (Meta, LinkedIn; the safe default) |
ad_portrait |
9:16 | stories, reels, vertical slots |
ad_landscape |
16:9 1200×628 | link ads, in-stream, LinkedIn sponsored |
ad_banner |
21:9 728×90 | classic leaderboard display |
google_display |
1200×628 | Google Display Network |
Full coverage = ad_square, ad_portrait, ad_landscape: three
placements, 30 credits, one consistent look. Add ad_banner / google_display
only if they actually run display.
Ads are 10 credits per creative. Say the total for the whole plan in the same message as the run: announce it, don't ask permission. If you decided the number of angles yourself, confirm that number.
Intake
- What's being advertised? A product URL is the best input: it carries the offer, the proof and the brand voice. Otherwise the offer in one line.
- Where does it run? Meta/IG → square + portrait. LinkedIn → square +
landscape. Google Display →
google_display+ad_banner. Unsure → the three-format set. - Brand kit:
brand_id+embed_logo: true. Ads without the mark waste the spend. - The offer/CTA: "20% off first order", "Book a demo". Put it in the
brief and set
include_cta: true.
The canonical runs
chat messages:
Create an ad set (ad_square, ad_portrait, ad_landscape) from [the product page URL]. Bold style, with a CTA, using our brand kit.
Create ad_square and ad_landscape ads: "Book a free 30-minute logistics audit", for e-commerce ops managers losing money on returns.
Then confirm_generation (brand_id, embed_logo: true, include_cta: true,
visual_style: "bold") and poll get_generation.
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.
- 3d ago Changed · -26 lines 8e30d278503a
- 2mo ago First seen · 117 lines · 57 tokens per session scan A d35da4ed443d
ad-campaign is a skill published in the GitHub repository canvora/canvora-mcp (1 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 998 once invoked, about $0.0002 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 2026-08-31.
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