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Reward
by
bytesagain3
· GitHub ↗
· v1.0.0
· MIT-0
168
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install reward
Description
Reward system design reference — behavioral reinforcement, loyalty programs, gamification, incentive structures. Use when designing reward programs, loyalty...
Usage Guidance
This skill appears to be a safe, local reference: it prints reward-design guidance via a bundled bash script and requires no credentials or network access. Before installing, you may want to (1) inspect scripts/script.sh yourself to confirm it only prints content (we did and found no network/credential access), (2) run it in a sandbox or non-production environment if you have strict policies, and (3) trust the repository/source (bytesagain.com) as with any third-party code. Autonomous agent invocation is normal but keep in mind any skill given to an agent can be invoked by it — this skill has no hidden privileges or exfiltration behavior.
Capability Analysis
Type: OpenClaw Skill
Name: reward
Version: 1.0.0
The 'reward' skill is a purely informational reference tool for designing reward systems and behavioral incentives. The shell script (scripts/script.sh) only outputs static educational text using heredocs and contains no network requests, file system modifications, or sensitive data access.
Capability Assessment
Purpose & Capability
Name/description (reward system design) match what is present: an instruction file and a bash script that outputs reference material. No unrelated credentials, services, or binaries are requested.
Instruction Scope
SKILL.md directs the agent to run scripts/script.sh with specific subcommands. The script prints static guidance text (no file scraping, no network calls, no access to other system state). Instructions do not ask for unrelated files or secrets.
Install Mechanism
No install spec is provided (instruction-only). The packaged bash script is included and will run locally; there are no downloads or archive extraction steps.
Credentials
The skill declares no environment variables, no credentials, and no config paths. The script does not reference env vars or secrets.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system presence. Autonomous invocation is allowed by default (normal) but not combined with other privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install reward - After installation, invoke the skill by name or use
/reward - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
publish v1.0.0
Metadata
Frequently Asked Questions
What is Reward?
Reward system design reference — behavioral reinforcement, loyalty programs, gamification, incentive structures. Use when designing reward programs, loyalty... It is an AI Agent Skill for Claude Code / OpenClaw, with 168 downloads so far.
How do I install Reward?
Run "/install reward" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Reward free?
Yes, Reward is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Reward support?
Reward is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Reward?
It is built and maintained by bytesagain3 (@bytesagain3); the current version is v1.0.0.
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