Reward

v1.0.0

Reward system design reference — behavioral reinforcement, loyalty programs, gamification, incentive structures. Use when designing reward programs, loyalty...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for bytesagain3/reward.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Reward" (bytesagain3/reward) from ClawHub.
Skill page: https://clawhub.ai/bytesagain3/reward
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install reward

ClawHub CLI

Package manager switcher

npx clawhub@latest install reward
Security Scan
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Benign
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OpenClawOpenClaw
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high confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

latestvk97f7573f6sqrzg5t4db4awq3d83az01
163downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Reward — Reward System Design Reference

Quick-reference skill for designing effective reward systems, loyalty programs, and behavioral incentives.

When to Use

  • Designing loyalty or points-based reward programs
  • Understanding behavioral reinforcement principles
  • Creating gamification systems for apps or teams
  • Evaluating incentive structures for effectiveness
  • Building habit-forming product experiences

Commands

intro

scripts/script.sh intro

Reward system fundamentals — behavioral science, reinforcement theory, types of rewards.

schedules

scripts/script.sh schedules

Reinforcement schedules — fixed/variable ratio and interval, optimal engagement patterns.

loyalty

scripts/script.sh loyalty

Loyalty program design — points, tiers, coalition models, ROI metrics.

gamification

scripts/script.sh gamification

Gamification mechanics — badges, leaderboards, progress bars, streaks, challenges.

intrinsic

scripts/script.sh intrinsic

Intrinsic rewards — autonomy, mastery, purpose, flow states, meaningful work.

pitfalls

scripts/script.sh pitfalls

Common reward design mistakes and unintended consequences.

workplace

scripts/script.sh workplace

Workplace incentives — recognition programs, bonus structures, team rewards.

metrics

scripts/script.sh metrics

Measuring reward effectiveness — engagement, retention, satisfaction, ROI.

help

scripts/script.sh help

version

scripts/script.sh version

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