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ProfitCore
by
theshimaw-svg
· GitHub ↗
· v1.0.0
· MIT-0
80
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0
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0
Active Installs
1
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Install in OpenClaw
/install profit-core
Description
Transforms an agent into an autonomous ROI-driven system that identifies, evaluates, and executes only high-value, low-cost opportunities with continuous lea...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install profit-core - After installation, invoke the skill by name or use
/profit-core - Provide required inputs per the skill's parameter spec and get structured output
Version History
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".
Metadata
Frequently Asked Questions
What is ProfitCore?
Transforms an agent into an autonomous ROI-driven system that identifies, evaluates, and executes only high-value, low-cost opportunities with continuous lea... It is an AI Agent Skill for Claude Code / OpenClaw, with 80 downloads so far.
How do I install ProfitCore?
Run "/install profit-core" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is ProfitCore free?
Yes, ProfitCore is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does ProfitCore support?
ProfitCore is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created ProfitCore?
It is built and maintained by theshimaw-svg (@theshimaw-svg); the current version is v1.0.0.
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