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ads-budget

ads-budget is a skill for Claude Code from naveedharri/benai-skills. It costs 88 tokens per session (1,567 once invoked), scanned A, original, MIT.

A review process for deciding how advertising money should be divided between platforms and campaigns, and which bidding approaches to use. It also checks whether campaigns are ready to grow or should be stopped.

In plain words
What is it for?
Use it to review spending across advertising platforms, assess bidding strategies, identify campaigns to stop, and find campaigns that may be ready for more budget.
Why use it?
It helps prevent spending too much on weak campaigns, growing campaigns before they have enough evidence, or spreading money without a clear plan.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the ads plugin — 14 skills shipped together

not rated 78repo +2 changed 1mo ago A scan SkillSpector: pass 88 tokens original MIT

Good fit Use it to review spending across advertising platforms, assess bidding strategies, identify campaigns to stop, and find campaigns that may be ready for more budget.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/naveedharri/benai-skills/ads-budget
View source ↗ naveedharri/benai-skills
Install

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.

Any agent
npx skills add naveedharri/benai-skills --skill ads-budget
Clone the repo
git clone --depth 1 https://github.com/naveedharri/benai-skills

Made for: Claude Code.

Or install ads, the plugin that ships this one along with the rest of its 14 skills.

Wrote 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.

agentmods badge for ads-budget

README.md
[![agentmods](https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-budget/github.svg)](https://agentmods.dev/skills/naveedharri/benai-skills/ads-budget)
Your own site
<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.

agentmods 80×15 button for ads-budget

Your own site · 80×15
<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>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,567 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.01567
Opus 5.5 $0.00035 $0.00627
Sonnet 5.5 $0.00018 $0.00313
Haiku 4.5 $0.00009 $0.00157

Measured 1mo ago against content hash f03c6a79d3ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/ads/skills/ads-budget/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Budget Allocation & Bidding Strategy

Process

  1. Collect budget and performance data across all active platforms
  2. Read ads/references/budget-allocation.md for allocation framework
  3. Read ads/references/bidding-strategies.md for strategy decision trees
  4. Read ads/references/benchmarks.md for CPC/CPA benchmarks
  5. Read ads/references/scoring-system.md for health score algorithm
  6. Evaluate budget allocation, bidding strategy, and scaling readiness
  7. 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 LinkedIn 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
LinkedIn $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

Read the full file on GitHub · 170 lines

Changes

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.

  1. 1mo ago Changed · +1 lines f03c6a79d3ee
  2. 2mo ago First seen · 169 lines · 88 tokens per session scan A ff1c90c943b2

Subscribe to this mod's changes

ads-budget is a skill published in the GitHub repository naveedharri/benai-skills (78 stars, last pushed 28d ago), licensed MIT. It adds 88 tokens to every session and 1,567 once invoked, about $0.0004 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 2026-08-30.

Analytics and metricsClaude CodeMarketing and SEOagent-skillsaianthropicclaudeclaude-plugins
Related

ads-budget compared with skills from other repositories

ads-budget next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ads-budgetnaveedharri/benai-skillsSkill7828d agoMITA88Claude Code
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media-gpt-image-promptmodu-ai/moai-coworkSkill31529d agoApache-2.0A334Claude Code
career-portfoliomodu-ai/moai-coworkSkill31529d agoApache-2.0A124Claude Code