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/pitch-narrative-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/pitch-narrative-builder)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/pitch-narrative-builder"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/pitch-narrative-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/pitch-narrative-builder"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/pitch-narrative-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 68 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00202 | $0.03259 |
| Opus 5.5 | $0.00081 | $0.01304 |
| Sonnet 5.5 | $0.00040 | $0.00652 |
| Haiku 4.5 | $0.00020 | $0.00326 |
Grade A, and why
pitch-narrative-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 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pitch Narrative Builder
Derives the company pitch/deck narrative from the narrative canon — the problem → the undeniable shift → product-as-hero → proof → the ask arc, rendered as a slide-beat outline (one narrative beat per slide) for both a sales pitch and a fundraising deck. It sits in the Land phase of the TALE loop and expresses the canon in deck form: it feeds L (the sales deck is a flagship surface that must match the canon's tagline, pillars, and claim wording — the message-match sub-item) and A (the deck is the arc's most public expression) — see tale-benchmark.md. It is derived from, and must not fork, the durable canon: the pitch is a restatement, never a second source of truth.
Scope guard: this skill produces the pitch narrative and its slide-beat outline only. It does not write launch-window battle cards or a rep talk track (reuse sales-enablement-kit — that is a launch asset, this is the durable company narrative in deck form), author the durable message hierarchy (message-system-architect) or the strategic arc itself (strategic-narrative-designer — if no canon exists, route there first and stop), design finished slides (visual design is out of scope), build the reusable story units it draws on (story-bank-builder), or adjudicate claims — every unverified proof is marked [needs source] and submitted to memory/events/claims.ndjson via an authorized operation: propose request to registry-events.py for offer-claims-registry, and this skill never adjudicates substantiation. It works one lever — the deck narrative — and hands off.
Quick Start
Build our pitch deck narrative for [company] from the canon. Audience: investors. Story bank: [path or "help me pull from canon"].
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 First seen · 89 lines · 202 tokens per session scan A 503b77632022
pitch-narrative-builder is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (3,024 stars, last pushed today), licensed Apache-2.0. It adds 202 tokens to every session and 3,259 once invoked, about $0.0008 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 2026-09-03.
Other skills, from other repositories
geo-visibility-check
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Audit and fix a website for AI search visibility (Generative Engine Optimization). Use when asked to check whether a site or page can be found and cited by ChatGPT Search, Perplexity, Claude or Google AI Overviews, to score it 0-100 with geo audit, or to fix robots.txt AI crawler rules, llms.txt, JSON-LD schema, meta…
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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.
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.