Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/citedy/adclawnpx agentmods add skills/citedy/adclaw/ads-generateWrote 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/citedy/adclaw/ads-generate)<a href="https://agentmods.dev/skills/citedy/adclaw/ads-generate"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/ads-generate.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 5.1 | $0.00087 | $0.01371 |
| Opus 5 | $0.00044 | $0.00685 |
| Sonnet 5 | $0.00017 | $0.00274 |
| Haiku 4.5 | $0.00009 | $0.00137 |
Grade A, and why
ads-generate 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 6d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ads Generate: AI Ad Image Generator
Generates platform-sized ad creative images from your campaign brief and brand profile. Uses banana-claude as the image generation provider.
Quick Reference
| Command | What it does |
|---|---|
/ads generate |
Generate all images from campaign-brief.md |
/ads generate --platform meta |
Generate Meta assets only |
/ads generate --prompt "text" --ratio 9:16 |
Standalone generation without brief |
Environment Setup
Required before running:
- Requires banana-claude (v1.4.1+) with nanobanana-mcp configured
- Run
/banana setupto configure API key and MCP - Fallback: if banana is not available, use
scripts/generate_image.py(deprecated)
If banana-claude is not installed, this skill will display setup instructions and stop. It will never fail silently.
Process
Step 1: Verify banana-claude
Verify banana-claude is installed (run /banana setup to check). If not installed,
display setup instructions and exit.
Step 2: Locate Source Files
Check for:
campaign-brief.md→ primary source for prompts and dimensionsbrand-profile.json→ brand color/style injection (optional but recommended)
If campaign-brief.md is found: Use ## Image Generation Briefs section as the
generation job list.
If no campaign-brief.md: Enter standalone mode (Step 2b).
Step 2b: Standalone Mode
Ask the user:
- Generation prompt (what should the image show?)
- Target platform (to set correct dimensions)
- Output filename (optional)
Then skip to Step 5.
Step 3: Read Provider Config
Load ads-shared/references/image-providers.md to confirm:
- Active provider pricing (show user the cost estimate)
- Rate limits for current tier
- Batch API availability
Step 4: Read Platform Specs
For each platform in the campaign brief, load the relevant spec reference:
ads-shared/references/meta-creative-specs.mdads-shared/references/google-creative-specs.mdads-shared/references/tiktok-creative-specs.mdads-shared/references/linkedin-creative-specs.mdads-shared/references/youtube-creative-specs.mdads-shared/references/microsoft-creative-specs.md
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.
- 6d ago First seen · 164 lines · 87 tokens per session scan A 5fd334741ff3
ads-generate is a skill published in the GitHub repository citedy/adclaw (35 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 87 tokens to every session and 1,371 once invoked, about $0.0004 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.
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