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/content-quality-auditor)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/content-quality-auditor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/content-quality-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/content-quality-auditor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/content-quality-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 | $0.00081 | $0.02627 |
| Opus 5 | $0.00041 | $0.01314 |
| Sonnet 5 | $0.00016 | $0.00525 |
| Haiku 4.5 | $0.00008 | $0.00263 |
Grade A, and why
content-quality-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 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Quality Auditor
Audit one content artifact with the versioned CORE-EEAT contract. Produce evidence-linked item states, a comparable score only when coverage is complete, and a SHIP/FIX/BLOCK/UNDECIDED verdict. Scores are advisory quality-control summaries, not ranking or citation predictions.
When This Must Trigger
- The user asks for content quality, E-E-A-T, publish-readiness, or CORE-EEAT review.
- A new/refreshed artifact needs the content gate before publication.
- A prior audit is being rerun after evidence-backed fixes.
Quick Start
Audit this product review for the U.S. market before publication: <URL or content>
Run a CORE-EEAT comparison-profile audit and show every evidence gap: <artifact>
Skill Contract
Use this skill for the content artifact and its source-credibility evidence. Use on-page-seo-checker for a narrow structural audit, technical-seo-checker for crawl/index behavior, and domain-authority-auditor for domain-level CITE. A combined page/domain assessment is two linked audits, never a 120-item composite.
Reads: one artifact plus its cited/source controls. Writes: only a permissioned v3 artifact. Done when: target/profile/context are declared, every expected item has a valid state, the typed result is reported, and any approved artifact validates.
Instructions
Runtime Reads
../../../references/auditor-runbook.md../../../references/scoring-semantics.md../../../references/core-eeat-benchmark.md../../../references/framework-catalog.json../../../references/runtime-invocation.mdreferences/auditor-runtime.md
Runtime Contract
At activation, read these repository files:
../../../references/auditor-runbook.md../../../references/scoring-semantics.md../../../references/core-eeat-benchmark.md../../../references/framework-catalog.json(CORE-EEATentry)
For a standalone installation, read the bundled immutable references/auditor-runtime.md instead. Never fetch a mutable branch or continue with a guessed contract. Before deterministic calls, follow runtime-invocation.md, resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}", and require the scorer, validator, and typed catalogs. If they are absent, return score_state: NOT_SCORED / score_confidence: not_scored with no gate verdict or persistent artifact. Record schema_version: 3.0, runbook_version: 3.0.0, and catalog version in the report.
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.
- 9d ago First seen · 185 lines · 81 tokens per session scan A e27be2557045
content-quality-auditor 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 81 tokens to every session and 2,627 once invoked, about $0.0004 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
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.