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Install in OpenClaw
/install onlyfans
Description
Build higher-retention subscription relationships through scarcity design, audience intimacy, and creator-owned private content strategy. Designed for direct...
Usage Guidance
This skill is a text-only adviser for subscription and retention strategy and doesn't request credentials or install software. Before installing, confirm you only want planning/strategy help (not account automation) and be aware it explicitly excludes creating explicit sexual content or performing platform actions; if you need legal, tax, or platform-policy advice, consult a specialist.
Capability Analysis
Type: OpenClaw Skill
Name: onlyfans
Version: 1.0.0
The 'OnlyFans' skill bundle is a purely instructional set of guidelines designed to help an AI agent provide strategic advice for subscription-based creators. It contains no executable code, network requests, or file system operations, and explicitly includes guardrails against generating adult content or performing platform automation. All files (skill.md, skill.json, README.md) are consistent with its stated purpose of subscription retention and value ladder design.
Capability Assessment
Purpose & Capability
The name/description (creator subscription and retention strategy) matches the skill.md content: diagnosis, value-ladder rebuilding, scarcity design, and guardrails. There are no unexpected binaries, config paths, or credentials requested that would be unrelated to this purpose.
Instruction Scope
SKILL.md gives stepwise diagnostic and recommendation instructions (parse creator model, diagnose retention, rebuild ladder, provide guardrails). It does not instruct the agent to read unrelated files, access system credentials, call external endpoints, or perform account actions on a platform. It also explicitly disclaims creating explicit sexual content and not executing platform account actions.
Install Mechanism
No install spec or code files that would download or execute external binaries are present; the skill is instruction-only, which minimizes filesystem/installation risk.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. That aligns with its stated advisory/consulting nature—no secrets or platform credentials are requested.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges or modifications to other skills. Autonomous invocation (model invocation enabled) is the platform default and not, by itself, a concern here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install onlyfans - After installation, invoke the skill by name or use
/onlyfans - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
OnlyFans skill – initial release
- Provides direct-to-fan subscription and retention strategy for creators.
- Focuses on designing content scarcity, audience intimacy, and tiered access logic to build higher subscriber retention and value.
- Includes structured assessment, diagnosis, and actionable next steps for subscription ladder, churn, and exclusivity.
- Avoids sexual-content optimization, tax/legal advice, and platform automation.
- Clarifies required input variables and sets clear usage guardrails and boundaries.
Metadata
Frequently Asked Questions
What is OnlyFans?
Build higher-retention subscription relationships through scarcity design, audience intimacy, and creator-owned private content strategy. Designed for direct... It is an AI Agent Skill for Claude Code / OpenClaw, with 279 downloads so far.
How do I install OnlyFans?
Run "/install onlyfans" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OnlyFans free?
Yes, OnlyFans is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OnlyFans support?
OnlyFans is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OnlyFans?
It is built and maintained by AGImodel (@agimodel); the current version is v1.0.0.
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