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 naveedharri/benai-skills --skill ads-budgetgit clone --depth 1 https://github.com/naveedharri/benai-skillsWrote 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/naveedharri/benai-skills/ads-budget)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/ads-budget"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-budget/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/naveedharri/benai-skills/ads-budget"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-budget.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00088 | $0.01559 |
| Opus 5 | $0.00044 | $0.00779 |
| Sonnet 5 | $0.00018 | $0.00312 |
| Haiku 4.5 | $0.00009 | $0.00156 |
Grade A, and why
ads-budget 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ads-budget — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Budget Allocation & Bidding Strategy
Process
- Collect budget and performance data across all active platforms
- Read
ads/references/budget-allocation.mdfor allocation framework - Read
ads/references/bidding-strategies.mdfor strategy decision trees - Read
ads/references/benchmarks.mdfor CPC/CPA benchmarks - Read
ads/references/scoring-system.mdfor health score algorithm - Evaluate budget allocation, bidding strategy, and scaling readiness
- Generate recommendations with kill list and scale list
Budget Allocation Framework
70/20/10 Rule
- 70% on proven channels (consistent ROAS/CPA targets met)
- 20% on scaling channels (showing promise, need more data)
- 10% on testing channels (new platforms, audiences, creatives)
Platform Selection Matrix
| Business Type | Primary | Secondary | Testing |
|---|---|---|---|
| SaaS B2B | Google Search, LinkedIn | Meta, YouTube | TikTok, Microsoft |
| E-commerce | Google Shopping, Meta | TikTok, YouTube | Microsoft, LinkedIn |
| Local Service | Google Search, Google LSA | Meta | Microsoft, YouTube |
| B2B Enterprise | LinkedIn, Google Search | Meta | Microsoft, TikTok |
| Info Products | Meta, YouTube | Google Search | TikTok |
| Mobile App | Meta, Google UAC | TikTok | Apple Search Ads |
| Real Estate | Google Search, Meta | YouTube | Microsoft |
| Healthcare | Google Search | Meta | Microsoft, YouTube |
| Finance | Google Search, Meta | Microsoft | |
| Agency (clients) | Varies by client | — | — |
Budget Sufficiency Rules
| Platform | Minimum Daily | Learning Phase Budget |
|---|---|---|
| Google Search | $20/day | Sufficient for 15+ conv/month |
| Google PMax | $50/day | Sufficient for algorithm optimization |
| Meta | $20/day per ad set | ≥5x target CPA per ad set |
| $50/day Sponsored Content | 15+ conversions/month | |
| TikTok | $50/day campaign, $20/day ad group | ≥50x target CPA per ad group |
| Microsoft | No strict minimum | Sufficient for stable delivery |
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.
- 13d ago First seen · 169 lines · 88 tokens per session scan A ff1c90c943b2
ads-budget is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 1,559 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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