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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skillsnpx agentmods add skills/aaron-he-zhu/aaron-marketing-skills/contract-helperWrote 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/contract-helper)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/contract-helper"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/contract-helper/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/contract-helper"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/contract-helper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector 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 | $0.00087 | $0.02740 |
| Opus 5 | $0.00044 | $0.01370 |
| Sonnet 5 | $0.00017 | $0.00548 |
| Haiku 4.5 | $0.00009 | $0.00274 |
Grade A, and why
contract-helper 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contract Helper
Create and review influencer partnership agreements. Clear contracts protect both brand and creator and set expectations for the collaboration.
⚠️ This skill provides general guidance and templates. Always have contracts reviewed by legal counsel before execution.
Quick Start
Draft an influencer agreement for [deliverables] with [compensation terms]
Review these contract terms from an influencer agency: [paste terms]
Skill Contract
- Reads: campaign brief, agreed deliverables, compensation figure, platform list, usage-rights and exclusivity needs, any pasted incoming agreement, and stable
party_ref,contact_ref,address_ref, andsignature_refvalues when available. Raw legal names, entity identifiers, emails, phones, postal addresses, payment details, and signatures are transient execution inputs only. Ifmemory-managementis active, prior outreach terms and budget caps load from the hot cache. For a rostered creator, resolve the carried opaquecreator_refthrough its authorized artifact or verified registry link, then readmemory/creators/<aggregate-id>.md— the creator-registry projection — for existing exclusivity windows, contract status, usage-rights history, and standard-range anchors before drafting or reviewing. Never derive the path from a raw handle. - Writes: return the drafted agreement or review memo inline by default. With exact WARM-save authorization,
memory/influencer/contract-helper/YYYY-MM-DD-<topic>.mdstores onlyparty_ref,contact_ref,address_ref,signature_ref, and a non-PII terms summary; it never stores raw party/contact/address/signature values, payment details, or the executable/signed document bytes. The e-sign execution copy remains in the authorized external document/e-sign system. Each signed-term update requires a separate exact authorization for anoperation: proposerequest throughregistry-events.pytomemory/events/creators.ndjson; onlycreator-registrywrites canonical roster records. - Promotes: only with separate exact authorization, promote durable signed terms (usage-rights window, exclusivity scope, payment schedule) to
memory/hot-cache.md. - Done when:
- Every required term is filled or explicitly marked TBD (parties, deliverables, compensation, payment timeline, usage rights, exclusivity, termination).
- Red flags are listed for any review, and a legal-counsel review note is attached before execution.
- A negotiation cheat sheet maps each open term only to a user-supplied target or a source-dated, jurisdiction/market-compatible anchor; otherwise the counter remains
TBD/NEEDS_INPUT. - Any WARM record is reference-only, and any signature request is either not sent or has its own exact authorization bound to the final recipient, document bytes, and channel.
- Primary next skill: brief-generator — after signature, create or finalize the creator-ready brief, then let the creator fulfill it. A signature alone is never enough to route to amplification.
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.
- 10d ago Changed · +6 lines 86d03689d064
- 13d ago First seen · 99 lines · 87 tokens per session scan A 680e3df533de
contract-helper 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 87 tokens to every session and 2,740 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 2026-08-30.
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.
accessibility-audit
Run an accessibility audit for a SEOJuice-tracked website. Shows WCAG issues, severity distribution, and auto-fixable items. Use when the user asks about accessibility, WCAG compliance, a11y, or screen reader support.
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.