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.
npx skills add AIsa-team/agent-skills --skill creator-marketinggit clone --depth 1 https://github.com/AIsa-team/agent-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/skills/aisa-team/agent-skills/creator-marketing)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/creator-marketing"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/creator-marketing/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/aisa-team/agent-skills/creator-marketing"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/creator-marketing.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 | $0.00065 | $0.01809 |
| Opus 5 | $0.00032 | $0.00905 |
| Sonnet 5 | $0.00013 | $0.00362 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
creator-marketing 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 yesterday.
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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creator Marketing
Help the user choose creators and design a feasible partnership pilot. Use information from the current conversation and materials the user explicitly provides. Clarify only missing details that affect the plan: product, audience and market, objective, channels, budget, timing, team capacity and constraints. Do not assume a predefined brand file or workspace layout.
Choose the partnership model
Select the model by the job: a sponsored placement borrows distribution; commissioned UGC buys content and may not include posting; gifting has no guaranteed post; an affiliate deal needs commission/tracking terms; an ambassador program adds recurring responsibilities and relationship management. A small aligned creator is not automatically cheaper per sale than a larger one. Avoid universal tier, engagement-rate or compensation benchmarks. Treat actual quotes and comparable sourced evidence as inputs, not guarantees.
For detailed deal, brief and measurement guidance read partnership-playbook.md. For a recurring high-volume UGC network also read ugc-program.md; do not default every campaign to a creator network.
Research and shortlist
Proactively use external evidence when it can improve candidate choice, creative fit, deal assumptions or current practices. Do not wait for a specific request to search. Skip external research when explicitly prohibited or supplied evidence already answers the decision. A planning-only request does not require finding named creators.
Before fetching, read aisa-contract.md and capabilities.md. Use only the bundled helper through Router schema → quote → use, with fixed tools. Do not use direct vendors, arbitrary browser/MCP research or paid nested workflows. Reuse supplied account findings. Audience-demographic or fraud checks require evidence from an actually available tool; do not assume one is installed. This skill adds partnership design. No Similarweb is needed for this workflow.
What ships with it
7 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.
- yesterday First seen · 69 lines · 65 tokens per session scan A 826b069d8c86
creator-marketing is a skill published in the GitHub repository AIsa-team/agent-skills (25 stars, last pushed 2d ago), licensed Apache-2.0. It adds 65 tokens to every session and 1,809 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 2026-09-11.
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