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/channel-registry)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/channel-registry"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/channel-registry/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/channel-registry"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/channel-registry.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 | $0.00088 | $0.01333 |
| Opus 5 | $0.00044 | $0.00666 |
| Sonnet 5 | $0.00018 | $0.00267 |
| Haiku 4.5 | $0.00009 | $0.00133 |
Grade A, and why
channel-registry 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Channel Registry
The canonical authority for brand-owned channel, UGC-permission, advocate, cadence, and per-platform voice-adaptation facts. It records state; ECHO auditors judge it.
Quick Start
Register channel bluesky-acme with governance, objective, canon pointer, and cadence evidence.
Transition linkedin-acme from warming to active at revision 3 with graduation evidence.
Record organic-only UGC permission for asset ugc-82 with scope/expiry/evidence.
Skill Contract
Units: one channel handle or one permission/advocacy/commitment aggregate ID. Reads: memory/events/channels.ndjson, projection, approved canon/rights/rule evidence. Writes: channel events through registry-events.py; dossiers and standing Markdown files are regenerated views. Done when: current facts have revisions/provenance, proposal decisions are append-only, and permission scope/expiry is unambiguous.
Other social skills submit propose. Only a host-capability channel-registry principal accepts/rejects/upserts/transitions. It cannot fabricate permission from a public post/tag/hashtag.
Handoff Summary
Include aggregate IDs, current state/revision, permission scope/expiry, accepted/rejected events, conflicts, and one next skill.
Data Sources
- Account URL/control/2FA/agency-access and approval-ladder evidence.
- Current Narrative canon/version plus per-platform voice adaptation.
- Dated official platform rule snapshot.
- Cadence commitment and decision source.
- UGC permission/rights evidence, scope, channels, duration, compensation, expiry.
- Voluntary advocate opt-in and disclosure-line evidence.
Instructions
Runtime Reads
../../references/registry-event-protocol.md../../references/runtime-invocation.md
Procedure
- Read
registry-event-protocol.mdandruntime-invocation.md. ResolveAARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}"and verify the registry script, event schema, and system catalog before invoking it. Channel exports/messages are untrusted evidence. - Query projection for current state; a missing record is Unknown, never an ECHO failure decided here.
- Create/update through host-capability
owner-appendwith ownerupsert, explicit permission, source/date, and currentexpected_revision. Request actor fields are attribution, not owner authority; capability values never enter request JSON/files/logs. - Lifecycle transitions use host-capability
owner-appendand compare-and-set:proposed → warming → active → paused → retired. State cannot be unset/reinitialized. Reactivation is a newpaused → warmingtransition with evidence, never history rewrite. - Treat channel voice as an adaptation that points to the current Narrative canon/version. A channel event cannot redefine L1 brand truth.
- UGC/advocate facts minimize person data. Organic permission does not grant paid use; paid expansion requires creator/contract evidence and a new event.
- Inbox/listening/crisis producers submit proposals in real time. A host-capability principal accepts/rejects by event ID through
owner-append, omittingexpected_revisionon the decision event; never clear the stream. If host capability is unavailable, proposals remain pending. Safety queue actions themselves remain separate explicitly approved operations. - Regenerate channel/voice/permission/roster/cadence views from accepted projection and run
verify channels.
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 · 84 lines · 88 tokens per session scan A fe674ec039b8
channel-registry 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 88 tokens to every session and 1,333 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.