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
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add aaron-he-zhu/aaron-marketing-skills/plugin install aaron-marketingWrote 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/creator-content-auditor)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/creator-content-auditor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/creator-content-auditor/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/creator-content-auditor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/creator-content-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00114 | $0.03032 |
| Opus 5 | $0.00057 | $0.01516 |
| Sonnet 5 | $0.00023 | $0.00606 |
| Haiku 4.5 | $0.00011 | $0.00303 |
Grade A, and why
creator-content-auditor 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 10d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creator Content Auditor
Gate one influencer deliverable (or a tightly defined asset set) with the STAR framework and return the profile-weighted SQS (Star Quality Score) plus creator-ready feedback. This is the STAR discipline's sole scoring authority: it reads the content directly for Trust (T) and Appeal (A), folds in the Suitability (S) read from fit-scorer, scores Return (R) per assessment_time (forecast pre-publish), and applies every STAR veto.
When This Must Trigger
- A creator submission needs approval before publication, amplification, or a payment milestone.
- The user asks about brand alignment, claim accuracy, disclosure, creative quality, platform specs, or a go/no-go.
- A revised asset needs a traceable rerun against the same brief/canon version.
Quick Start
Review this sponsored video and caption against campaign brief v4 for conversion.
Run the STAR gate; show claim/disclosure blockers, the SQS, and write the creator revision note.
Skill Contract
Reads: one frozen submission plus its opaque asset/evidence refs; stable creator_ref, reviewer_ref, and brief_ref; brief/canon version; approved claims/disclosures (substantiation state from offer-claims-registry); platform requirements; the fit-scorer Suitability read and the creator-registry dossier (the audience-authenticity facts behind STAR-S2/S6); and (for an actual re-read) the roi-calculator Return evidence. Raw creator/reviewer names, handles, profile/content URLs, brief URLs, email addresses, and other delivery locators may be resolved only transiently for the current review or an independently authorized dispatch. Writes: a user report inline by default and, only with exact authorization for the validated sink, a v3 artifact. In every persistable template/artifact/handoff, creator, reviewer, and brief identity is represented only by creator_ref, reviewer_ref, and brief_ref; never persist the corresponding raw identity or locator. Creator-facing copy is a transient render and is never part of the durable audit artifact. Artifact approval does not authorize HOT, registry, content, feedback delivery, or any other external mutation. Done when: every applicable STAR item is explicit, the typed SQS result is preserved, feedback maps each requested change to evidence, and any durable output satisfies the reference-only identity boundary.
What ships with it
3 files 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.
- 10d ago Changed · +6 lines 8bf0aaf017b3
- 13d ago First seen · 134 lines · 114 tokens per session scan A 0d4c80143c37
creator-content-auditor is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,767 stars, last pushed today), licensed Apache-2.0. It adds 114 tokens to every session and 3,032 once invoked, about $0.0006 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.
Other skills, from other repositories
geo-visibility-check
One-shot GEO audit: does your brand appear in Claude, ChatGPT, and Gemini answers for the buyer questions that matter? Runs a prompt panel through the engines with citation tracing and reports per-prompt verdicts, who wins instead, and which sources the answers come from.
geo-optimizer-skill
Run geo audit first. It scores the site 0–100 across 8 categories and generates a prioritized action list.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
content-scoring
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.