aaron-marketing-skills is a collection of 120 AI-agent skills covering marketing work such as brand narrative, search optimization, social media, email, advertising, influencer campaigns, and launches. Marketers and agent users can install it as a plugin, use its portable skills, or run its described bot team. The catalogue entries are components of this marketing workflow.
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/aaron-he-zhu/aaron-marketing-skillsnpx agentmods add skills/aaron-he-zhu/aaron-marketing-skills/budget-optimizerWrote 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/aaron-he-zhu/aaron-marketing-skills/budget-optimizer)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/budget-optimizer"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/budget-optimizer/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/aaron-he-zhu/aaron-marketing-skills/budget-optimizer"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/budget-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00078 | $0.02648 |
| Opus 5.5 | $0.00031 | $0.01059 |
| Sonnet 5.5 | $0.00016 | $0.00530 |
| Haiku 4.5 | $0.00008 | $0.00265 |
Grade A, and why
budget-optimizer 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Budget Optimizer
This skill helps you allocate and optimize your influencer marketing budget to maximize return on investment. It considers platform costs, influencer tier economics, and campaign objectives to recommend optimal budget distribution.
Quick Start
Shortest invocation:
Help me allocate a $30,000 budget for an influencer campaign on Instagram and TikTok
Common scenario:
Optimize my influencer budget across micro and macro influencers for a Gen Z product launch — compare a $50K and a $100K scenario
Output: a tier/platform/content allocation table, projected reach + CPM/CPE, 2-3 budget scenarios, and a recommended split.
Skill Contract
- Reads: total budget, fixed vs influencer-available split, campaign goal, target platforms, tier constraints (max per influencer, minimum count), industry, and — for mid-campaign work — spend-to-date and per-influencer results. Connector data via
~~influencer database/~~social platform analyticswhen available. - Writes: return the budget allocation recommendation and handoff inline by default; save to
memory/influencer/budget-optimizer/YYYY-MM-DD-<topic>.md(or the declared paid path) only with exact WARM-save authorization. - Promotes: only with separate exact authorization, promote the approved total budget, chosen scenario, locked tier mix, and spend constraints to
memory/hot-cache.md. - Done when:
- Allocation sums to 100% of the stated budget; any contingency amount follows a user rule or a source-dated planning anchor rather than a repository default.
- Every projected metric includes its formula, input refs, evidence window, and Measured / User-provided / Estimated label.
- One recommended scenario is named with its rationale, or the numerical scenario remains
NEEDS_INPUTwith an exact evidence-request plan.
- Primary next skill: use the readiness-gated
Next Best Skillblock below; a budget handoff never authorizes outreach or a send.
Handoff Summary
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · -15 lines f4fc07954c73
- 1mo ago First seen · 144 lines · 78 tokens per session scan A 4e0ad77e598b
budget-optimizer is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (3,019 stars, last pushed yesterday), licensed Apache-2.0. It adds 78 tokens to every session and 2,648 once invoked, about $0.0003 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.
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Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
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schema-generator
Generate JSON-LD schema markup for pages and content types with an implementation checklist. Use when users ask for schema, structured data, rich snippets, or markup.