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 skills/citedy/adclaw/adsnpx skills add citedy/adclaw --skill adsgit clone --depth 1 https://github.com/citedy/adclawWrote 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)<a href="https://agentmods.dev/skills/citedy/adclaw/ads"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/ads.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 | $0.00052 | $0.02558 |
| Opus 5 | $0.00026 | $0.01279 |
| Sonnet 5 | $0.00010 | $0.00512 |
| Haiku 4.5 | $0.00005 | $0.00256 |
Grade A, and why
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 4d 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.
Ads: Multi-Platform Paid Advertising Audit & Optimization
Comprehensive ad account analysis across all major platforms (Google, Meta, LinkedIn, TikTok, Microsoft). Orchestrates 17 specialized sub-skills and 10 agents (6 audit + 4 creative).
Quick Reference
| Command | What it does |
|---|---|
/ads audit |
Full multi-platform audit with parallel subagent delegation |
/ads google |
Google Ads deep analysis (Search, PMax, YouTube) |
/ads meta |
Meta Ads deep analysis (FB, IG, Advantage+) |
/ads youtube |
YouTube Ads specific analysis |
/ads linkedin |
LinkedIn Ads deep analysis (B2B, Lead Gen) |
/ads tiktok |
TikTok Ads deep analysis (Creative, Shop, Smart+) |
/ads microsoft |
Microsoft/Bing Ads deep analysis (Copilot, Import) |
/ads creative |
Cross-platform creative quality audit |
/ads landing |
Landing page quality assessment for ad campaigns |
/ads budget |
Budget allocation and bidding strategy review |
/ads plan <business-type> |
Strategic ad plan with industry templates |
/ads apple |
Apple Search Ads (ASA) deep analysis |
/ads competitor |
Competitor ad intelligence analysis |
/ads dna <url> |
Extract brand DNA from website, outputs brand-profile.json |
/ads create |
Generate campaign concepts + copy briefs, outputs campaign-brief.md |
/ads generate |
Generate AI ad images from brief, outputs to ad-assets/ |
/ads photoshoot |
Product photography in 5 styles (Studio, Floating, Ingredient, In Use, Lifestyle) |
Context Intake (Required: Always Do This First)
Before any audit or analysis, collect this context. Without it, benchmarks will be generic and recommendations may be wrong for the user's situation.
Ask these questions upfront (combine into one message):
- Industry / Business type: Which best describes you? SaaS · E-commerce · Local Service · B2B Enterprise · Info Products · Mobile App · Real Estate · Healthcare · Finance · Agency · Other
- Monthly ad spend: Total budget and per-platform breakdown (approximate is fine)
- Primary goal: Sales / Revenue · Leads / Demos · App Installs · Calls · Brand
- Active platforms: Which platforms are you advertising on?
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.
- 4d ago First seen · 204 lines · 52 tokens per session scan A 28504a0f492c
ads is a skill published in the GitHub repository citedy/adclaw (35 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 2,558 once invoked, about $0.0003 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 skills, from other repositories
skill-creator
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
tmux
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
update-setup
One-time setup wizard for the nanobot upgrade skill. Triggers: setup update, configure update, 设置更新, 初始化更新.
image-generation
Generate images and iteratively edit saved image artifacts.
cron
Schedule reminders and recurring tasks.
summarize
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).