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/social-quality-auditor)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/social-quality-auditor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/social-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/social-quality-auditor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/social-quality-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00102 | $0.01978 |
| Opus 5.5 | $0.00041 | $0.00791 |
| Sonnet 5.5 | $0.00020 | $0.00396 |
| Haiku 4.5 | $0.00010 | $0.00198 |
Grade A, and why
social-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 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Quality Auditor
Run one ECHO profile on one unit. The asset-gate audits a publish package and its governing records; program-maturity profiles audit a channel portfolio/window. Social outcomes remain measured metrics, not part of either rubric score.
When This Must Trigger
- Before queued posts/assets publish or a paused queue resumes.
- When channel truth, claims, disclosure, engagement manipulation, UGC permission, or reported denominators are in doubt.
- When the user requests a community/B2C/founder program-maturity baseline or rerun.
Quick Start
Run ECHO asset-gate on this five-post batch against channel/claims/UGC records.
Audit the last 90 days with program-maturity-community; report outcomes separately.
Skill Contract
Reads: one asset package or one channel portfolio/window, current governance projections, and dated evidence. Writes: only a permissioned v3 artifact. Done when: one profile is complete or its Unknowns are explicit, with no publication, queue, registry, or engagement side effect.
channel-registry, offer-claims-registry, and permission/consent state own truth. This skill judges frozen state and never manufactures permissions or updates canonical records.
Data Sources
| Need | Preferred evidence |
|---|---|
| Channel truth | Current channel projection, account control, dated rules |
| Asset craft | Exact rendered/caption/package version and narrative canon |
| Claims/disclosures | Approved claims plus market/platform relationship facts |
| Hosting/rights | Permission events, advocacy evidence, response/moderation logs |
| Observability | Native exports, GA4/GSC, denominator definitions, locked panels |
| Public signal | Compliant public connectors; adjacent sources labeled proxy |
Instructions
Runtime Reads
../../../references/auditor-runbook.md../../../references/scoring-semantics.md../../../references/echo-benchmark.md../../../references/runtime-invocation.mdreferences/auditor-runtime.md
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 First seen · 128 lines · 102 tokens per session scan A 66250eaa3d07
social-quality-auditor 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 102 tokens to every session and 1,978 once invoked, about $0.0004 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
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
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…
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.