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ProfitCore
作者
theshimaw-svg
· GitHub ↗
· v1.0.0
· MIT-0
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当前安装
1
版本数
在 OpenClaw 中安装
/install profit-core
功能描述
Transforms an agent into an autonomous ROI-driven system that identifies, evaluates, and executes only high-value, low-cost opportunities with continuous lea...
安全使用建议
This SKILL.md is coherent for an ROI-focused advisor, but it intentionally leaves implementation details (what 'execute' means, where to store 'tracking' data, and what external services to call) open. Before installing or enabling it for autonomous use: (1) Restrict the agent's ability to perform high-impact actions (purchases, external API calls, shell execution) unless you explicitly approve each action. (2) Decide and control where learning/track data is stored (agent memory only vs. a specific, auditable datastore) and avoid giving open credentials. (3) Require explicit user confirmation for any action that affects accounts, billing, or external systems. (4) Test the skill in a sandboxed environment first. If you need stronger assurance, ask the publisher to specify storage, execution boundaries, and which external services (if any) the skill will use.
功能分析
Type: OpenClaw Skill
Name: profit-core
Version: 1.0.0
The ProfitCore skill bundle consists entirely of behavioral instructions (SKILL.md) and documentation (README.md, examples.md) designed to guide an AI agent's decision-making process toward high-ROI tasks. It contains no executable code, no network requests, and no instructions to access sensitive data or bypass security controls. The 'Core Loop' and 'Strategic Decision' frameworks are standard prompt-engineering techniques for business-oriented personas and do not exhibit any malicious intent or security vulnerabilities.
能力评估
Purpose & Capability
Name/description (autonomous ROI engine) match the SKILL.md: the document defines discovery, ROI analysis, decision, execution plan, and learning. The skill requests no unrelated binaries, env vars, or installs — nothing appears extraneous for the stated purpose.
Instruction Scope
The SKILL.md confines behavior to a clear six-step loop and strict output format, which is coherent. However, several instructions are intentionally broad/vague (e.g., 'execute', 'track actions and outcomes', 'learn and improve continuously') and grant the agent wide discretion about what actions to take and what data to collect or transmit. The document does not constrain or document what 'execute' means (local commands, web requests, third-party APIs, purchases, etc.).
Install Mechanism
Instruction-only skill with no install spec or code files; this is low-risk from an install standpoint because nothing is written to disk or downloaded by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths — proportional to an instruction-only policy document. Note: because the instructions envision performing actions and using tools/APIs, a deployed agent might later request credentials or access; the SKILL.md does not declare or constrain that.
Persistence & Privilege
The skill requires tracking actions/outcomes and continuous improvement over cycles, implying persistent state. Yet it provides no mechanism or constraints for storing that state (no declared config paths, memory store, or external endpoint). That gap is ambiguous: an agent could reasonably use in-agent memory, local files, or third-party storage — this increases the chance of unexpected data storage or external communication. always=false and no self-modifying install behavior reduce some risk, but the persistence requirement remains underspecified.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install profit-core - 安装完成后，直接呼叫该 Skill 的名称或使用
/profit-core触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Follow me on x for even better skills @SaasKafle
ProfitCore 1.0.0
- Introduces an autonomous ROI-driven decision engine focused on maximizing profit.
- Defines a mandatory 6-step core loop for opportunity analysis, selection, execution, and learning.
- Enforces strict rules on cost control, actionable steps, and fast, high-value returns.
- Requires transparent ROI analysis and outcome projections for every action.
- Implements a feedback and learning system to continuously optimize for higher ROI.
- Mandates that only actions generating value above cost may be executed—otherwise outputs "NO ACTION".
元数据
常见问题
ProfitCore 是什么？
Transforms an agent into an autonomous ROI-driven system that identifies, evaluates, and executes only high-value, low-cost opportunities with continuous lea... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 80 次。
如何安装 ProfitCore？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install profit-core」即可一键安装，无需额外配置。
ProfitCore 是免费的吗？
是的，ProfitCore 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
ProfitCore 支持哪些平台？
ProfitCore 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 ProfitCore？
由 theshimaw-svg（@theshimaw-svg）开发并维护，当前版本 v1.0.0。
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