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/message-house-builderWrote 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/message-house-builder)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/message-house-builder"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/message-house-builder/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/message-house-builder"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/message-house-builder.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 | $0.00181 | $0.02160 |
| Opus 5 | $0.00090 | $0.01080 |
| Sonnet 5 | $0.00036 | $0.00432 |
| Haiku 4.5 | $0.00018 | $0.00216 |
Grade A, and why
message-house-builder 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 9d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Message House Builder
Derives launch-specific messaging from accepted L1 Narrative canon and positioning evidence: a message house, PR-FAQ spine, and per-channel angle packs. It never turns launch copy into a competing brand canon and never adjudicates claims.
Scope guard: this skill turns an existing positioning canvas into messaging only. It does not build the positioning itself (positioning-mapper is the sole upstream — if the canvas is missing, route there first and stop), write finished blog posts or pages (content-writer), produce ad or email units (ad-creative-builder / email-creative-builder), adjudicate claims (offer-claims-registry is the sole writer of memory/claims/claims-ledger.md), or assemble the press kit and asset manifest (launch-asset-packager). It works one lever — messaging — and hands off.
Quick Start
Build a message house for [product] from the positioning canvas. Personas: [list]. Launch channels: [list].
Write a working-backwards PR-FAQ for our [launch type] — launch-day tense, five external + five internal FAQs.
Turn our positioning into per-channel message angles for [Product Hunt / press / store listing / email announcement].
Skill Contract
Expected output: a message house (tagline + one-liner + three value pillars + per-persona proof points, each labeled Measured / User-provided / [needs source]), a PR-FAQ narrative spine (launch-day tense, empty-chair test, numbers over adjectives, five external + five internal FAQs), per-channel message angle packs (angles, not finished copy), a [needs source] claims list for the ledger, and the standard handoff summary.
- Reads: the positioning canvas, personas/channels/tier,
memory/projections/narrative.json, andmemory/projections/claims.jsonat named offsets. - Writes: the launch house/PR-FAQ/angle packs to
memory/launch/message-house-builder/with permission; unresolved claims and durable canon changes become separate authorized proposal events. - Done when: the house is internally coherent and traceable to accepted canon, proof points are evidence-labeled, PR-FAQ checks pass, unresolved claims are blocked/proposed, and the dependency tuple is present.
- Primary next skill: launch-asset-packager.
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.
- 9d ago First seen · 88 lines · 181 tokens per session scan A 2516b26239de
message-house-builder is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,767 stars, last pushed yesterday), licensed Apache-2.0. It adds 181 tokens to every session and 2,160 once invoked, about $0.0009 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 2026-09-03.
Other skills, from other repositories
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geo-optimizer-skill
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geo-loop
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competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
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.