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Install in OpenClaw
/install small-goods-loyalty-incentives
Description
Designs and refines customer loyalty programs and incentive systems for DTC/independent stores selling small, high-frequency products (e.g. cosmetics, phone...
Usage Guidance
This skill appears coherent and low-risk: it provides playbooks and two small utility scripts that read local JSON and emit markdown. Before installing or allowing the agent to execute code, verify the skill's source/author (homepage is unknown), review the example config files, and run the Python scripts in a controlled environment with sanitized input to confirm outputs match expectations. If you grant the agent permission to execute code, ensure it has no access to unrelated credentials or sensitive filesystem areas. If you need network or platform integrations (Shopify, email/SMS providers), expect to supply those credentials separately and review any code that would use them.
Capability Analysis
Type: OpenClaw Skill
Name: small-goods-loyalty-incentives
Version: 0.1.1
The skill bundle is a legitimate tool for designing DTC loyalty programs and contains no evidence of malicious intent or high-risk vulnerabilities. The Python scripts (loyalty_config_sanity_check.py and incentive_calendar_generator.py) are simple utility scripts that process local JSON data into Markdown reports using standard libraries, with no network activity or unauthorized file access. The SKILL.md instructions are well-structured and strictly focused on the stated business logic of customer retention and incentive planning.
Capability Assessment
Purpose & Capability
Name/description match the included assets: design guidance, metrics, an incentive playbook, and two small helper scripts (config sanity check and calendar generator). Required env vars/binaries/config paths are none, which is proportionate to a guidance/utility skill.
Instruction Scope
SKILL.md provides scoped instructions for eliciting merchant context and producing structured program outputs. It does not instruct the agent to read secrets, system files, or call external endpoints. The repository includes small scripts that read local JSON config files and write markdown; SKILL.md doesn't mandate executing them but they could be run by an agent with execution rights — review/validate any local config before running.
Install Mechanism
No install spec — instruction-first with optional script files. No downloads or archive extraction. This is low-risk from an install perspective.
Credentials
The skill declares no required environment variables, credentials, or config paths. The included scripts operate on local JSON files only and do not reference network endpoints or secrets; that is proportional to the stated purpose.
Persistence & Privilege
always is false and disable-model-invocation is false (normal). The skill does not request permanent system presence or alter other skills' configs in the provided materials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install small-goods-loyalty-incentives - After installation, invoke the skill by name or use
/small-goods-loyalty-incentives - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
Version 0.1.1
- Added core evaluation and reference materials, including evals/evals.json, metrics, and detailed loyalty/incentive framework guides.
- Introduced scripts for incentive calendar generation and configuration, including example configs and calendar/report templates.
- Included a loyalty config sanity check script for validation of program setup.
- Documentation and reference materials now cover incentive design best practices and program validation strategies.
v0.1.0
Initial release: Designs loyalty and incentive programs for DTC stores selling small, high-frequency products.
- Provides structured program design, incentive calendars, and measurable validation plans for loyalty/repeat-purchase strategies.
- Supports points-based, tiered, referrals, threshold, welcome, and win-back incentives, tailored for low-AOV, high-repeat categories (cosmetics, accessories, etc.).
- Includes clear intake questions to gather critical business details and assess fit.
- Outputs: summary, program structure, incentive map, metrics/validation plans, lifecycle cadence, and practical copy/UX recommendations.
- Adapts output based on whether a full program or single incentive is needed; highlights what is in- or out-of-scope.
Metadata
Frequently Asked Questions
What is Small Goods Loyalty Incentives?
Designs and refines customer loyalty programs and incentive systems for DTC/independent stores selling small, high-frequency products (e.g. cosmetics, phone... It is an AI Agent Skill for Claude Code / OpenClaw, with 310 downloads so far.
How do I install Small Goods Loyalty Incentives?
Run "/install small-goods-loyalty-incentives" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Small Goods Loyalty Incentives free?
Yes, Small Goods Loyalty Incentives is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Small Goods Loyalty Incentives support?
Small Goods Loyalty Incentives is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Small Goods Loyalty Incentives?
It is built and maintained by RIJOY-AI (@rijoyai); the current version is v0.1.1.
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