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
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skillsWrote 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/commands/aaron-he-zhu/aaron-marketing-skills/social)<a href="https://agentmods.dev/commands/aaron-he-zhu/aaron-marketing-skills/social"><img src="https://agentmods.dev/badge/commands/aaron-he-zhu/aaron-marketing-skills/social/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/commands/aaron-he-zhu/aaron-marketing-skills/social"><img src="https://agentmods.dev/badge/commands/aaron-he-zhu/aaron-marketing-skills/social.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00064 | $0.01232 |
| Opus 5 | $0.00032 | $0.00616 |
| Sonnet 5 | $0.00013 | $0.00246 |
| Haiku 4.5 | $0.00006 | $0.00123 |
Grade A, and why
social 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 13d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Command
Run the organic-social lifecycle along the ECHO loop (Explore → Craft → Host → Observe). Skills operate from the user's own data, project memory, and keyless public surfaces — keyed social suites and scheduler platforms are never required, and this discipline ships no posting/engagement automation of any kind. The auditor selects either asset-gate or one program-maturity profile; asset and operating constructs are never combined.
Route
Infer the ECHO-loop phase from the goal (or honor --phase) and route to the matching skill:
- Explore — channel-portfolio-planner (capability/access matrix + channel selection; access classes per
references/social-platform-access.md), voice-dossier-builder (brand + founder voice from own posts, content pillars), platform-norm-profiler (dated norm cards underreferences/platforms/), participation-warmup-planner (pre-promotion ramp + warming→active graduation criteria; owned-community variant); record decided channels/states via channel-registry (memory/channels/) - Craft — social-calendar-builder (always-on calendar; publish step hard-requires the gate's pre-publish SHIP), social-creative-builder (one idea → N platform-native packages incl. 小红书/carousel modes; unresolved claims become claims proposals), short-video-scripter (retention-gate beat sheets incl. 抖音/视频号 params, AI-disclosure default), advocacy-program-designer (opt-in advocacy/founder programs, anti-pod guardrails)
- Host — social-quality-auditor (asset gate or separate program-maturity profile; channel/claim/rights evidence from projections), engagement-inbox-manager (DRAFT replies/rights evidence only), social-selling-planner (human operating block), crisis-response-planner (human-executed pause protocol)
- Observe — social-pulse-monitor (always-on listening via
bluesky.py/fediverse.py/discourse.py/hn.py/gdelt.py/tavily.py; X/IG/TikTok/LinkedIn are proxy-only, labeled), share-of-voice-tracker (locked competitor panel), dark-social-attributor (UTM/share hygiene + self-reported field + GA4 direct decomposition, all Estimated-labeled), social-measurement-loop (denominator-locked metric dictionary, community-health mode, write-back); reuse roi-calculator / report-generator / performance-analyzer
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.
- 13d ago First seen · 38 lines · 64 tokens per session scan A d7b00bdfaeee
social is a command published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,767 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 1,232 once invoked, about $0.0003 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 commands, from other repositories
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geo
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geo:optimize
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geo:audit
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geo:batch
Process multiple content files in a folder.
geo:compete
Analyze competitive landscape for a query or topic.