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Reward
作者
bytesagain3
· GitHub ↗
· v1.0.0
· MIT-0
168
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install reward
功能描述
Reward system design reference — behavioral reinforcement, loyalty programs, gamification, incentive structures. Use when designing reward programs, loyalty...
安全使用建议
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.
功能分析
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.
能力评估
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.
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 reward - 安装完成后，直接呼叫该 Skill 的名称或使用
/reward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
publish v1.0.0
元数据
常见问题
Reward 是什么？
Reward system design reference — behavioral reinforcement, loyalty programs, gamification, incentive structures. Use when designing reward programs, loyalty... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 168 次。
如何安装 Reward？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install reward」即可一键安装，无需额外配置。
Reward 是免费的吗？
是的，Reward 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Reward 支持哪些平台？
Reward 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 Reward？
由 bytesagain3（@bytesagain3）开发并维护，当前版本 v1.0.0。
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